WEBVTT

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You're listening to a stage talk titled Study

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and Conflicts Impact on the Environment. This

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week we were joined by Dr Owen Derbyshire from

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the UK charity, the Conflict and Environment

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Observatory. Owen spoke about the many different

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types of conflict pollution and environmental

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harm they've come across and how the organisation

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works to monitor it, sometimes for years after

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the initial fighting has stopped. You can find

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links to all the resources mentioned in the talk

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in the podcast description. This talk was hosted

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by me, Charlotte Ma, on Thursday the 20th of

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November 2025 in the Bellingcat Discord server.

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Hello and welcome back to the Stage Talks series.

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This week we're exploring the impact of conflict

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on the environment. We all know the damaging

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effect of war on society, but the often overlooked

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toll of war is on the environment. Someone who

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works to cover this harm is Dr Owen Derbyshire,

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an environmental scientist working at the Conflict

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Environment Observatory. The Conflict Environment

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Observatory is a UK charity with a mission of

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increasing awareness and understanding of the

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environmental and derived humanitarian consequences

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of conflicts and military activities. They also

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work with organisations to develop tools to improve

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data collection and sharing. Their reports focus

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on regions around the globe with their latest

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investigating ongoing conflicts from Ukraine

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to Sudan. They're also about to release a new

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database showing the incidents in a searchable

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format. Hopefully by the end of this talk, you'll

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have an understanding of what can be measured

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when it comes to environmental damage caused

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by conflict and how those measurements could

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be used to enact change. As we talk, please make

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sure to add your questions in the chat box via

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the message bubble icon in the top right corner

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of your screen. and please note within your question

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if you do not want me to read your username out.

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Okay, Owen, I'm going to mute my mic and pass

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it over to you. So yeah, hello everyone and thanks

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for having me. So environmental scientists, we

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often struggle to document harm and conflict

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zones. We can't get to sites, samples are dangerous

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to collect and information is tightly controlled.

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But with OSINT, we have opened doors that were

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previously shut. So we now have satellite archives,

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we have underground footage, and we have community

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reporting. And so what we do is bring together

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environmental science and OSINT. And this allows

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us to understand wartime environmental harm in

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ways that simply were not possible a decade ago.

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But first of all, let's start with a big question.

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Why? Should we care about war and the environment

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given everything else that happens in war? Well,

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environmental harm and conflict translates directly

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into harm to people. Pollution, destroyed ecosystems

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and collapsing services create immediate health

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risks and they also leave long shadows. You know,

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sometimes for generations, for example, the legacy

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of herbicides in South East Asia. Just one example

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of how long these effects can linger. And once

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the war finishes, once the front lines move on,

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people remain and they're left to live amongst

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toxic residues, damaged infrastructure, chronic

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exposures to pollution and maybe more importantly

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governance vacuums where further environmental

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exploitation can flourish. We should also care

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because the environment has intrinsic value of

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its own. It's the only one we have. It's the

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only one in the universe. But conflict accelerates

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harm to the biodiversity, to wildlife, exactly

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when ecosystems are already under lots of pressure.

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And so for as long as this damage continues,

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there's a real need for organizations like SeaOps

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to exist. So SeaOps, the Conflicts and Environmental

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Observatory, we have a simple goal, and that

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is to reduce environmental damage from armed

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conflict and military activity. There are many

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ways to achieve that, but today I'm just going

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to focus on one of those, hopefully of most interest

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to the audience here, and that's monitoring and

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evidencing environmental harm in a robust and

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at times systematic way. Now, if you haven't

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come across us before, we are a small UK charity

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formed in 2018 and that was building on earlier

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work around toxic remnants of war and in part

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we emerged because of the big potential of open

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source investigation to give a voice to the environment.

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2018 now maybe seems a bit of a bygone age given

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how dramatically the world around us has shifted.

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Geopolitical fragmentation, climate stress, AI,

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disordered discourse and also the growing securitisation

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of the environment. However, I think in that

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time the dial has shifted a bit. The environment

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is perhaps no longer the silent victim. as we

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used to say back in 2018, but we need to continue

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to work hard to ensure it's not a pyrrhic victory

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and that the environment does not now become

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the sidelined victim. So we need to sort of stick

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to our core values to keep on track. So that's

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solidarity, it's collaboration and it's expert

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situated knowledge. And yeah, I think at this

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point it'd be nice before you see all the pictures

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and images and stuff to give full credit to my

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colleagues. So we are comprised of environmental

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scientists, remote sensing specialists, policy

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analysts, legal experts, and based in the UK,

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the Ukraine and beyond. So for anyone in the

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audience thinking about Korea, maybe in investigative

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environmental work, it might seem very niche,

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but I think it's a growing field and there's

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lots of space to work in and lots of different

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paths. So what do we mean? What do I mean when

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I say environmental harm? and why is this so

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much different in war to in peacetime? Now, in

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conflict, environmental harm takes many forms.

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Some of this is really immediate and obvious,

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big explosions. Other forms are slower or more

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systemic, polluted soils, damaged water systems,

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or a collapse in environmental governance. But

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let's start with something very clear and obvious

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and direct, which is air pollution. Often what

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we see in almost every war is that oil facilities

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are targeted and this is just one example from

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earlier this year in Tehran where there's a nice

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satellite image here with two fuel storage sites

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that have been simultaneously attacked. This

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is one big difference to peacetime, you might

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have one of these incidents as a one -off. In

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war you get them simultaneously, very frequently.

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And whereas in peace time you have a big civil

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response to this, most of the time in conflict

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settings there is no civil response. There's

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no people, there's no bodies going out to measure

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air quality and provide PPE and safeguard health

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and so on. The air quality impacts, now maybe

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we don't know anything much about what's going

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on in the stratosphere, mass missile launches,

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you know, they could be depleting ozone. So there's

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different interesting research angles to go in.

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But maybe bringing things back down to the ground

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is exposure to air pollution that is very linked

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to war, so energetic compounds and repellents

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that you wouldn't, civilians would not be exposed

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to in peacetime. So this on screen here is an

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explosion of an ammunition storage site in a

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densely populated area. Sticking with this example,

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showing the damage from such an explosion in

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eastern Ukraine, you can also see how it may

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lead to widespread land contamination and energetic

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materials, for example, TNT. We know this is

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a possible carcinogen and exposure to even low

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concentrations can lead to long -term health

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impacts. You know, waste from these kind of explosions

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can also pose serious health threats. So even

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from the very building materials themselves.

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So these, for example, the Asbestos Mountains

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in Gaza. You could have imagined a child surviving

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everything that's gone on there, only to grow

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up and die from asbestosis. Examples of complex

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land contamination in urban areas, especially

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when different types of facilities with different

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pollution profiles are hit. So here's the area

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of about a kilometre by a kilometre in Bari Industrial,

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this area in Khartoum, which has destroyed plastic,

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pharmaceutical and food factories. Next to destroyed

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warehouses and car workshops, together this creates

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a very complex pollution mix. So land contamination,

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it's not just an urban problem. When the fighting

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is in fields it becomes a big problem for crops,

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both now and in the future. That speaks to food

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security, it speaks to livelihoods. Soil is physically,

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biologically and chemically damaged. Explosives

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like RDX can bioaccumulate in crops and pose

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reverberating threats for many many years. On

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top of this is the risk from unexploded ordnance

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and other military litter. So particularly at

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the moment there's concern from the impact of

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fibre optic drones and the impact they will have

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on wildlife in Ukraine especially. But there's

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also reports of them being used elsewhere now

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so we've seen this major change in material being

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used in war. which could have really significant

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long -term effects on wildlife. Even entire nature

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reserves have been transformed delicate ecosystems

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into military training grounds. This has happened

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a lot in Ukraine. So then we come to the very

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profound impact war has on water and its reverberating

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impacts. Just one example would be the militarisation

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and draining of the Mesopotamian marshes in Iraq.

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starting back in the 80s, not only altering the

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entire hydrological system, but also an entire

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culture. Nowadays we're seeing this over -resurgence

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in using water as a military tactic. Huge events

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like the Kokovka Dam collapse, but in addition

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to those very large events, there's also thousands

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of small -scale damages to water and sanitation

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infrastructure, and this can release pollution

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into both surface waters. but also down into

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groundwater where the impacts are stored for

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many years. Out of this thing called climate

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change and yes, wars and military activities

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contribute to this. We are really only just finding

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out the magnitude of these conflicts and military

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missions and more monitoring is urgently required

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and a big space to expand into for us into work,

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I think. But really I could have taken you through

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dozens of examples of environmental harm and

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gone into way more depth for the more indirect

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and reverberating impacts. But I hope those slides

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gave you a brief taste of the range of harm that

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we see. One overarching feature of environmental

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harm in warfare is the convergence of vulnerabilities.

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So damage, stacks upon damage. This then compounds

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everything else. the human rights risks, the

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displacement, the food insecurity, public health

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crises. And this all unfolds in places where

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data is scarce, governance is weak, and accountability

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can be contested. And this is exactly where OSINT

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methods come into their own. OSINT satellites,

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social media posts, eyewitness footage, and public

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dead sets. They give us a way into understanding

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how on the ground, I'm fairly sure everyone in

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this room and listening understands that. Now

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earlier in COB's work we carried out a lot of

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ad hoc investigations. This could be verifying

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an oil spill clean up, could be assessing ammunition

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storage explosions, flooding events, so on. These

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snapshots were valuable, but they were just at

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snapshots. They told us what happened that day

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to that site, or maybe over a few days. However,

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as we've just found out, conflict -related environmental

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harm is anything but a series of isolated events.

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It's dynamic, it's cumulative, and it's all interconnected.

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So this is why we've moved towards more systematic

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monitoring. OSINT remains absolutely central

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to this, and it's what led us to develop the

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approach I'll describe next. I'll bring you on

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to Wyzen. We'll soon be launching this formally,

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but today I'm going to give you a sneak peek

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of something we've spent the last few years developing.

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Wisen, the wartime incidents to environment database.

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The idea is straightforward. Conflicts generate

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countless environmentally harmful incidents,

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but the evidence has been scattered, inconsistent

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or disappearing. Wisen brings that information

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together in a structured, verifiable remote analysis

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framework, and assesses each incident's environmental

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risk and harm from the local level to the national

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scale. So I'd like you to think of it as a sort

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of counterpart to what organizations like Air

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Wars and ACLID have done in their respective

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domains. I think that's an outstanding idea,

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but it emerged in its earliest form in the early

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days of the full scale of invasion of Ukraine.

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when it was immediately obvious that the scale

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of environmental damage required systematic tracking.

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We had the tools, satellites, OSINT, environmental

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expertise, and why the Ukraine grew from there.

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Now, there are really many other important ways

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of studying conflicts in the environment, like

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mapping burned areas, vegetation loss, crater

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detections, air quality time series, all of these

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things, very important, we call them continuous

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cohort approaches. They're essential and academics,

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especially now, are doing fantastic work in that

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space. But WISON is the counterpart to that.

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It focuses specifically on discrete incidents

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affecting specific facilities. It's built around

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hierarchy. So at level zero, we have damaged

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facilities, but where we don't have enough temporal

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detail to define an incident. Level one is a

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wide ranging list of verified incidents. with

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calculated environmental risk scores. And level

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two is the big deep dive investigations into

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the highest risk incidents where we assess the

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actual environmental harm. When we cast a wide

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net, we do systematic searches of social and

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mass media, emergency services updates, curated

00:15:32.149 --> 00:15:36.289
data sets, OSINT community outputs, and satellite

00:15:36.289 --> 00:15:39.100
driven findings. to generate a list of potential

00:15:39.100 --> 00:15:43.000
incidents. We then verify those, geo and chrono

00:15:43.000 --> 00:15:45.980
locate them. And if it meets our definition,

00:15:46.240 --> 00:15:48.820
we give it a score for the environmental risk.

00:15:49.379 --> 00:15:54.179
And that's calculated based on the theoretical

00:15:54.179 --> 00:15:57.039
risk. So what the type of facility is and where

00:15:57.039 --> 00:15:59.059
it's situated. Is it near people? Is it near

00:15:59.059 --> 00:16:01.500
crops? Is it near ecologically important areas?

00:16:02.460 --> 00:16:05.720
And also an event magnitude score based on the

00:16:05.740 --> 00:16:11.419
the magnitude of what would have happened. We

00:16:11.419 --> 00:16:16.899
can see that these occur across Ukraine and Norway

00:16:16.899 --> 00:16:20.279
really escapes. This gives you a real sense of

00:16:20.279 --> 00:16:23.840
the breadth of incidents and the highest risk

00:16:23.840 --> 00:16:28.759
incidents we then promote up to level 2 analysis.

00:16:30.200 --> 00:16:32.360
Level 2 is where the serious OSINT work happens.

00:16:33.230 --> 00:16:36.789
For each priority incident, we build a structured

00:16:36.789 --> 00:16:39.990
dossier. So we have a chronology of social and

00:16:39.990 --> 00:16:43.490
mass media posts, capturing the earliest posts,

00:16:44.049 --> 00:16:47.450
multiple viewpoints, testimony, screenshots,

00:16:47.710 --> 00:16:52.590
URLs, all of that business. So we have a reproducible

00:16:52.590 --> 00:16:57.470
search trail. We also generate a stack of annotated

00:16:57.470 --> 00:17:01.509
satellite imagery before, during, after, from

00:17:01.509 --> 00:17:04.609
all of the openly available satellite feed sources

00:17:04.609 --> 00:17:09.650
and occasionally some commercial ones too. We

00:17:09.650 --> 00:17:14.490
then do more detailed geolocation of key footage

00:17:14.490 --> 00:17:18.269
even if we know it is definitely where it is

00:17:18.269 --> 00:17:21.650
it's good practice to do so and maybe a more

00:17:21.650 --> 00:17:24.710
unique element is we collect subsequent evidence

00:17:24.710 --> 00:17:28.190
from later imagery a month later two months later

00:17:28.190 --> 00:17:31.430
or from local reporting or from official assessments.

00:17:31.759 --> 00:17:35.160
And this means we can do an assessment of not

00:17:35.160 --> 00:17:36.940
only the immediate damage, but also the longer

00:17:36.940 --> 00:17:41.279
term damage. And that's exactly what we do. We

00:17:41.279 --> 00:17:43.400
have a sort of structured environmental harm

00:17:43.400 --> 00:17:46.859
assessment, looking at hazards, affected media,

00:17:47.140 --> 00:17:50.000
loss of ecosystem services and local vulnerabilities.

00:17:50.819 --> 00:17:54.880
So this gives us then a scorecard record of harm.

00:17:56.160 --> 00:17:59.000
And if the same facility struck multiple times,

00:17:59.019 --> 00:18:01.890
we can add that together. and work out cumulatively

00:18:01.890 --> 00:18:06.910
the most impacted facilities. The result is a

00:18:06.910 --> 00:18:10.509
detailed, scalable and transparent picture of

00:18:10.509 --> 00:18:14.069
environmental harm. We can see national patterns,

00:18:14.329 --> 00:18:19.490
we can see regional trends, individual facility

00:18:19.490 --> 00:18:24.190
histories. WISEN has already been used in our

00:18:24.190 --> 00:18:27.509
advocacy, media work and external investigations.

00:18:27.880 --> 00:18:30.119
and also for ground proofing with mine action

00:18:30.119 --> 00:18:33.900
teams. And because the methodology is transferable,

00:18:33.980 --> 00:18:36.920
we've also applied it in Khartoum and Al Jazeera

00:18:36.920 --> 00:18:41.460
states in Sudan. Our in now is to partner up

00:18:41.460 --> 00:18:45.599
so we can scale up, develop it more and roll

00:18:45.599 --> 00:18:48.319
it out to other appropriate armed conflicts,

00:18:49.319 --> 00:18:54.119
employing local situated expertise and ultimately

00:18:54.119 --> 00:18:57.180
and eventually handing responsibility. over to

00:18:57.180 --> 00:19:01.759
those local partners. Now, Wisen isn't perfect.

00:19:02.119 --> 00:19:04.079
No data set is, but it gives us something we've

00:19:04.079 --> 00:19:06.559
never had before, which is a replicable way of

00:19:06.559 --> 00:19:09.240
understanding environmental harm of scale in

00:19:09.240 --> 00:19:12.579
conflicts. And so this sets up the question.

00:19:13.079 --> 00:19:15.720
Now that we have this data, what can it help

00:19:15.720 --> 00:19:21.640
us change? So one is accountability. Once harm

00:19:21.640 --> 00:19:24.519
is documented clearly and consistently, we can

00:19:24.519 --> 00:19:28.849
use it for justice. This can be very simple in

00:19:28.849 --> 00:19:31.549
terms of recognition or for transitional justice.

00:19:31.769 --> 00:19:34.809
It could even extend as high up as international

00:19:34.809 --> 00:19:39.190
legal processes. What it does is it moves the

00:19:39.190 --> 00:19:41.869
conversation from we think this happens to here

00:19:41.869 --> 00:19:45.950
is the evidence and here is the scale. It can

00:19:45.950 --> 00:19:50.069
also support behavior change and norm development.

00:19:52.130 --> 00:19:55.450
So we can work out all the time which actions

00:19:55.450 --> 00:19:57.390
are causing the greatest environmental harm,

00:19:57.609 --> 00:20:01.569
which tactics, and then we can make the argument,

00:20:01.789 --> 00:20:04.309
maybe some of these tactics are not appropriate.

00:20:06.150 --> 00:20:07.890
And then finally there's recovery. If we know

00:20:07.890 --> 00:20:10.390
where contamination and ecological damage are

00:20:10.390 --> 00:20:12.990
concentrated, we can prioritise those areas for

00:20:12.990 --> 00:20:16.930
remediation, for restoration and for resource

00:20:16.930 --> 00:20:19.789
and funding basically. And this is central to

00:20:19.789 --> 00:20:23.029
any green and just recovery process. And that's

00:20:23.029 --> 00:20:25.519
something we're working on. actively in Ukraine

00:20:25.519 --> 00:20:31.220
at the moment. So to close I'd like to turn the

00:20:31.220 --> 00:20:34.640
question back to the audience actually. What

00:20:34.640 --> 00:20:37.579
are we missing? Are there other places OSINT

00:20:37.579 --> 00:20:41.619
can help? WISEM captures what we can observe

00:20:41.619 --> 00:20:44.539
but what are we not seeing? Could we be looking

00:20:44.539 --> 00:20:48.259
more at health impacts and assessments? More

00:20:48.259 --> 00:20:52.759
at prevention and predictive analytics? More

00:20:52.759 --> 00:20:57.500
at supply chains, the militaries for example

00:20:57.500 --> 00:21:01.380
and all of this in the context of the information

00:21:01.380 --> 00:21:04.539
space which is shrinking is becoming more fragmented,

00:21:04.940 --> 00:21:08.319
more content is ephemeral and there's more this

00:21:08.319 --> 00:21:11.900
and misinformation and that is they also impact

00:21:11.900 --> 00:21:15.299
environmental narratives. So how do we go about

00:21:15.299 --> 00:21:19.220
keeping documentation trustworthy? So genuinely

00:21:19.220 --> 00:21:22.880
welcome your ideas, your questions. And thank

00:21:22.880 --> 00:21:27.539
you for being here today. Thank you. Thanks for

00:21:27.539 --> 00:21:31.319
being patient as well with my clicking. Apologies

00:21:31.319 --> 00:21:34.700
about the tech issue there that prevented you

00:21:34.700 --> 00:21:36.720
from clicking yourself, but I really appreciate

00:21:36.720 --> 00:21:39.160
you taking us through that and actually taking

00:21:39.160 --> 00:21:42.319
us through some quite surprising to me anyway,

00:21:42.700 --> 00:21:45.799
impacts of war. Some of the things like air pollution,

00:21:45.819 --> 00:21:48.680
I'd not even thought about when we're covering

00:21:48.680 --> 00:21:53.180
conflict. Usually we look at fires. and deforestation

00:21:53.180 --> 00:21:55.119
as environmental impacts, but not necessarily

00:21:55.119 --> 00:21:57.779
air pollution, which was super interesting. We

00:21:57.779 --> 00:21:59.880
have a bunch of questions in the chat, but just

00:21:59.880 --> 00:22:02.579
to respond initially to your question at the

00:22:02.579 --> 00:22:04.960
end there, a lot of people are saying, what are

00:22:04.960 --> 00:22:07.839
we missing? Somebody said my answer, volunteers,

00:22:07.980 --> 00:22:10.759
and they are ready to volunteer. I don't know

00:22:10.759 --> 00:22:13.059
if you have a volunteer program or a way that

00:22:13.059 --> 00:22:17.980
people can get involved. It's almost like a set

00:22:17.980 --> 00:22:22.750
up question. So we previously have trialed volunteers

00:22:22.750 --> 00:22:26.269
like maybe like a couple of years ago and what

00:22:26.269 --> 00:22:28.750
we found was that we were probably asking too

00:22:28.750 --> 00:22:32.690
much of them in terms of like the there's the

00:22:32.690 --> 00:22:34.369
awesome knowledge but then there's like an extra

00:22:34.369 --> 00:22:36.970
bit of environmental like knowledge that's missing.

00:22:38.190 --> 00:22:40.150
So we've been sort of learned from that and we've

00:22:40.150 --> 00:22:44.309
been thinking about it and I certainly do think

00:22:44.309 --> 00:22:48.220
there is a role for volunteers and At the moment,

00:22:48.319 --> 00:22:53.160
we're trialing out with some sort of, some students

00:22:53.160 --> 00:22:56.880
are working part time on the level zero part

00:22:56.880 --> 00:22:59.000
of the database, which is just damaged facilities.

00:23:00.180 --> 00:23:02.299
So we're going to see how that goes and maybe

00:23:02.299 --> 00:23:05.319
see if that is something that we can roll out

00:23:05.319 --> 00:23:09.460
as a, as a wider thing for volunteers as a citizen

00:23:09.460 --> 00:23:12.140
science thing perhaps. Could it be hosted somewhere

00:23:12.140 --> 00:23:14.380
like Zooniverse? We're just, we're sort of, yeah.

00:23:15.470 --> 00:23:17.190
investigating these ideas, it would be good to

00:23:17.190 --> 00:23:21.849
know what's too much to ask of volunteers and

00:23:21.849 --> 00:23:23.930
what's the reasonable ask. That's maybe where

00:23:23.930 --> 00:23:28.269
we struggled before. Yeah, perhaps people can

00:23:28.269 --> 00:23:30.549
put their experience of volunteering in the chat.

00:23:31.150 --> 00:23:33.609
I know, for example, we have a volunteer group

00:23:33.609 --> 00:23:37.390
here at Bellingcat and it's always a learning

00:23:37.390 --> 00:23:39.970
process in terms of how much to ask for and how

00:23:39.970 --> 00:23:42.660
much to get back. What I often find is that people

00:23:42.660 --> 00:23:45.960
are very willing to give a lot of time and actually

00:23:45.960 --> 00:23:49.019
it's up to you as the responsible organization

00:23:49.019 --> 00:23:51.920
to make sure that they're not overworking, which

00:23:51.920 --> 00:23:56.240
I think is a key point. We've got a few questions

00:23:56.240 --> 00:24:01.180
about the Wison map as you presented it. Saiba

00:24:01.180 --> 00:24:04.039
has asked, that Wison map of Ukraine, does that

00:24:04.039 --> 00:24:07.079
show overall environmental damage or is there

00:24:07.079 --> 00:24:10.559
a way or reason? to separate it into air, water,

00:24:10.799 --> 00:24:15.140
ground and damage, et cetera. And somebody else

00:24:15.140 --> 00:24:17.099
has put, is there a correlation made between

00:24:17.099 --> 00:24:20.059
the WISEN findings and population health after

00:24:20.059 --> 00:24:23.839
an incident? For example, degradation in crops

00:24:23.839 --> 00:24:26.559
slash animal health, et cetera. So have you thought

00:24:26.559 --> 00:24:30.140
about breaking down the things mapped on the

00:24:30.140 --> 00:24:33.880
WISEN maps to show kind of the breakdown in different

00:24:33.880 --> 00:24:36.000
types of environmental damage? And also is it

00:24:36.000 --> 00:24:40.119
linked to population health as well? Absolutely

00:24:40.119 --> 00:24:43.779
fantastic questions. And yes, we can break down

00:24:43.779 --> 00:24:46.480
that map. We could separate it out by the type

00:24:46.480 --> 00:24:48.380
of facility. So if we just wanted to look at

00:24:48.380 --> 00:24:50.240
water facilities, we could have the same map,

00:24:50.359 --> 00:24:53.900
just looking at water facilities, same for agriculture,

00:24:54.440 --> 00:24:58.539
industry, military even. And we could start to

00:24:58.539 --> 00:25:01.500
see how things look different for different sectors.

00:25:02.940 --> 00:25:04.200
It's important to say that wouldn't give you

00:25:04.200 --> 00:25:06.900
the whole story for like water in Ukraine. If

00:25:06.900 --> 00:25:09.480
you were just looking at our our database, it

00:25:09.480 --> 00:25:11.140
would give you a lot of information and a lot

00:25:11.140 --> 00:25:15.759
of the detail. We also need to then be still

00:25:15.759 --> 00:25:18.839
looking at some of the more, I can mention the

00:25:18.839 --> 00:25:21.140
sort of like continuous cohort approaches. So

00:25:21.140 --> 00:25:24.660
looking at not incidents, but let's say water

00:25:24.660 --> 00:25:27.119
quality over a very long period of time in lots

00:25:27.119 --> 00:25:29.819
of different places, which is not something that

00:25:29.819 --> 00:25:32.539
would be picked up by Vyzen as an incident. You

00:25:32.539 --> 00:25:36.200
might see. the three, four years of the conflict,

00:25:36.779 --> 00:25:38.700
the change in water quality, which you could

00:25:38.700 --> 00:25:40.299
maybe attribute to the conflicts, but it's sort

00:25:40.299 --> 00:25:44.440
of one of these more hidden sort of things. Absolutely

00:25:44.440 --> 00:25:47.859
breaking it down by sector, by domain is really

00:25:47.859 --> 00:25:51.759
important. We're trying to understand this in

00:25:51.759 --> 00:25:56.380
terms of health. That's the sort of next big

00:25:56.380 --> 00:26:02.910
frontier. That's where a present is. exceptionally

00:26:02.910 --> 00:26:06.569
hard to make the connection between environmental

00:26:06.569 --> 00:26:10.509
damage, some exposure to pollution and the health

00:26:10.509 --> 00:26:16.150
impact. The sort of, even in peacetime in civilian

00:26:16.150 --> 00:26:18.589
settings, it's very hard to do that sort of epidemiological

00:26:18.589 --> 00:26:22.130
work because there's so many other confounding

00:26:22.130 --> 00:26:25.009
things happening. That's made even harder in

00:26:25.009 --> 00:26:29.710
conflicts because people's bodies are under more

00:26:29.710 --> 00:26:32.440
stress from the mental stress. physical stress,

00:26:32.680 --> 00:26:38.099
there's everything else going on. Um, but it's

00:26:38.099 --> 00:26:42.240
definitely, I think that where if we keep pushing

00:26:42.240 --> 00:26:46.279
and keep trying, we will like uncover lots of,

00:26:46.279 --> 00:26:48.880
lots of connections, lots of important connections

00:26:48.880 --> 00:26:55.880
and connections that are not just acute and over

00:26:55.880 --> 00:26:58.200
a few days or weeks, but like chronic over a

00:26:58.200 --> 00:27:01.720
very long term. More just in the way What's with

00:27:01.720 --> 00:27:04.720
pageant orange and herbicide use in Southeast

00:27:04.720 --> 00:27:08.740
Asia? You mentioned a lot of the time in your

00:27:08.740 --> 00:27:12.740
talk about the cumulative effects that you're

00:27:12.740 --> 00:27:15.880
monitoring. Where does your organization draw

00:27:15.880 --> 00:27:19.440
a line on monitoring? Are you monitoring these

00:27:19.440 --> 00:27:22.339
effects of conflict forever? When does it no

00:27:22.339 --> 00:27:26.809
longer become? When does conflict no longer become

00:27:26.809 --> 00:27:29.869
the causation and how long into the future are

00:27:29.869 --> 00:27:33.430
you monitoring this land and these pollution

00:27:33.430 --> 00:27:37.890
effects? I think that's an amazing question.

00:27:39.230 --> 00:27:41.130
And it depends what you're particularly interested

00:27:41.130 --> 00:27:45.829
in, but the answer can be decades. Even now,

00:27:46.150 --> 00:27:49.009
there's fields that farmers can't use in Northern

00:27:49.009 --> 00:27:51.609
France because of contamination from World War

00:27:51.609 --> 00:27:55.220
I battlefields. So you do need to think on those

00:27:55.220 --> 00:28:00.960
time horizons. And I also think there's a lot

00:28:00.960 --> 00:28:03.519
of space to research into some of the wars in

00:28:03.519 --> 00:28:10.420
the 60s, 70s, 80s, 90s, even into the 2000s of

00:28:10.420 --> 00:28:12.940
health impacts now. And there's been like the

00:28:12.940 --> 00:28:16.039
most work done around like US veterans who were

00:28:16.039 --> 00:28:20.460
exposed to burn pits in Iraq, Afghanistan and

00:28:20.460 --> 00:28:24.829
so on. where all of the outside the bases they

00:28:24.829 --> 00:28:28.170
were just burning everything and they now have

00:28:28.170 --> 00:28:32.670
elevated health risk let's say. What will happen

00:28:32.670 --> 00:28:36.230
to the local civilian populations in those places?

00:28:36.390 --> 00:28:39.210
We don't really know anything about that so we'd

00:28:39.210 --> 00:28:41.750
need more monitoring and more monitoring into

00:28:41.750 --> 00:28:46.509
the future. Where to draw the line? The line

00:28:46.509 --> 00:28:50.190
gets drawn for us I think by the resource we

00:28:50.190 --> 00:28:54.569
have. More hands on deck are needed by the sounds

00:28:54.569 --> 00:28:58.089
of it. And I'm sure everyone listening is now

00:28:58.089 --> 00:29:01.890
really fascinated and interested in getting involved

00:29:01.890 --> 00:29:05.990
in this kind of work. One of my colleagues, Jake

00:29:05.990 --> 00:29:09.349
Godin, who has been working at looking at the

00:29:09.349 --> 00:29:12.029
land changes in Gaza for quite some time now

00:29:12.029 --> 00:29:15.190
is curious if you or your colleagues have tried

00:29:15.190 --> 00:29:17.849
messing around with hyperspectral imagery yet

00:29:17.849 --> 00:29:20.609
on observing environmental changes slash impact.

00:29:20.809 --> 00:29:22.670
Perhaps you can give us an insight into some

00:29:22.670 --> 00:29:24.670
of the tools you mentioned, satellite imagery,

00:29:25.309 --> 00:29:27.210
but specific tools that you use on a regular

00:29:27.210 --> 00:29:31.250
basis to monitor this work. Yes. Okay. Let's

00:29:31.250 --> 00:29:33.109
start with hyperspectral because it's the most

00:29:33.109 --> 00:29:40.029
exciting. Um, it is, I think if we had access

00:29:40.029 --> 00:29:45.250
to hyperspectral data, so that's where you could

00:29:45.250 --> 00:29:48.309
have sort of the spectral fingerprint for every

00:29:48.309 --> 00:29:52.640
object. on the surface of earth basically. That

00:29:52.640 --> 00:29:56.480
would be really, really sort of transformative

00:29:56.480 --> 00:29:59.619
in environmental monitoring conflicts. Environmental

00:29:59.619 --> 00:30:02.119
monitoring overall, but like especially in conflicts

00:30:02.119 --> 00:30:07.599
we could much more easily document change. We

00:30:07.599 --> 00:30:11.299
haven't actually played with hyperspectral, at

00:30:11.299 --> 00:30:15.160
least high resolution hyperspectral, high spatial

00:30:15.160 --> 00:30:18.220
resolution hyperspectral. that we would love

00:30:18.220 --> 00:30:21.579
to if there's any commercial companies out there

00:30:21.579 --> 00:30:24.259
who would like to take us on board to do case

00:30:24.259 --> 00:30:28.660
studies with. What we are doing, otherwise, is

00:30:28.660 --> 00:30:30.720
pretty much the same as lots of people here,

00:30:30.980 --> 00:30:34.980
which is, you know, using the openly available

00:30:34.980 --> 00:30:40.279
stuff. So Sentinel -2, obviously, also Sentinel

00:30:40.279 --> 00:30:45.900
-1, Radar, Danger Detection, Muse. If we have

00:30:45.900 --> 00:30:49.440
to we use proprietary imagery so especially the

00:30:49.440 --> 00:30:54.500
planet scope stuff is good or we can buy some

00:30:54.500 --> 00:30:57.559
very high res imagery which we find we often

00:30:57.559 --> 00:31:01.319
need to do if we want to know if a certain like

00:31:01.319 --> 00:31:04.380
chemical tank has been damaged. You just simply

00:31:04.380 --> 00:31:06.240
can't see that from a Sentinel -2 but you might

00:31:06.240 --> 00:31:09.380
be able to from a very high resolution image.

00:31:11.740 --> 00:31:13.480
I expect a lot of you are familiar with that

00:31:13.480 --> 00:31:15.210
sort of stuff in the room. Maybe what you're

00:31:15.210 --> 00:31:19.650
not so familiar with is all of the sort of open

00:31:19.650 --> 00:31:22.690
environmental data, which is out there. Now this

00:31:22.690 --> 00:31:24.569
will sort of vary between countries, but there's

00:31:24.569 --> 00:31:27.829
a lot of derived products, maybe from satellite

00:31:27.829 --> 00:31:34.789
data, maybe from models. We see loads of value

00:31:34.789 --> 00:31:38.349
of combining the OSINT stuff with that open environmental

00:31:38.349 --> 00:31:41.910
data. And that's what helps us sort of be able

00:31:41.910 --> 00:31:45.740
to, to assess environmental health. I wonder

00:31:45.740 --> 00:31:50.920
if any of our listeners, and I'm speaking more

00:31:50.920 --> 00:31:52.900
directly to the Bellingcat staff members who

00:31:52.900 --> 00:31:55.359
are lurking in here, if they have any suggestions

00:31:55.359 --> 00:31:59.039
for satellite image tools or tools in general

00:31:59.039 --> 00:32:02.579
that might be useful to this group. I've got

00:32:02.579 --> 00:32:05.299
another question. Could you say more about the

00:32:05.299 --> 00:32:07.819
verification process? Do your local partners

00:32:07.819 --> 00:32:11.680
verify the incident and impact assessment? How,

00:32:11.680 --> 00:32:13.640
how do your local partners get involved with

00:32:13.640 --> 00:32:17.940
the verification process? So the way we've, the

00:32:17.940 --> 00:32:24.240
way we've done that so far is have a, uh, bring

00:32:24.240 --> 00:32:27.660
in as a staff member working on the database

00:32:27.660 --> 00:32:36.839
with situated knowledge and, uh, contact with

00:32:36.839 --> 00:32:39.779
people who, who are there, even if they're not,

00:32:39.799 --> 00:32:41.559
they might be diaspora. but they have contacts

00:32:41.559 --> 00:32:45.559
for people who are there so they can have the

00:32:45.559 --> 00:32:48.380
situator knowledge. They can tell us that's not

00:32:48.380 --> 00:32:51.779
a, that's not a farm, it's a military facility.

00:32:51.859 --> 00:32:53.920
But as to our eyes on satellite, it might just

00:32:53.920 --> 00:32:59.400
look like a farm, things like this. Um, it's

00:32:59.400 --> 00:33:01.880
something we need to be careful with, of course,

00:33:02.039 --> 00:33:05.920
from the ethics side, exposing people to things.

00:33:07.440 --> 00:33:10.359
Um, but generally that's how we get the the expert

00:33:10.359 --> 00:33:13.559
knowledge in for the situated knowledge and then

00:33:13.559 --> 00:33:15.779
for the rest of the verification it's always

00:33:15.779 --> 00:33:22.119
the usual triage. So making sure that there is

00:33:22.119 --> 00:33:25.099
alignment between different satellite products,

00:33:25.180 --> 00:33:27.200
the satellite products and the social media.

00:33:28.279 --> 00:33:33.140
And yet having quite high bar for saying something

00:33:33.140 --> 00:33:38.289
that's happened. You talked about justice and

00:33:38.289 --> 00:33:41.410
accountability as a next step. This might be

00:33:41.410 --> 00:33:45.869
a silly question, but who is responsible for

00:33:45.869 --> 00:33:49.910
protecting the environment during conflict? Are

00:33:49.910 --> 00:33:53.990
there international laws that you can appeal

00:33:53.990 --> 00:33:58.490
against and steps that you could take with evidence

00:33:58.490 --> 00:34:01.410
that you've collected to try and change things

00:34:01.410 --> 00:34:04.109
and make sure the environment is top? of the

00:34:04.109 --> 00:34:08.210
conversation when conflict happens. Ultimately

00:34:08.210 --> 00:34:13.730
the answer is basically no. There are provisions,

00:34:14.250 --> 00:34:16.570
you know, you could apply environmental damage

00:34:16.570 --> 00:34:20.670
as a Rome Statute war crime, but the thresholds

00:34:20.670 --> 00:34:25.889
which need to be met are severe, long -term and

00:34:25.889 --> 00:34:29.730
widespread. The definitions for those thresholds

00:34:29.730 --> 00:34:32.570
are not clear when it comes to the environment.

00:34:33.099 --> 00:34:36.699
And so yeah, no, there's been no successful case,

00:34:37.280 --> 00:34:41.239
environmental case. That might change. There's

00:34:41.239 --> 00:34:45.119
guidance coming out very soon from the ICC on

00:34:45.119 --> 00:34:49.219
better prosecution for environmental crime. So

00:34:49.219 --> 00:34:51.739
we'll see what they come up with. There's also

00:34:51.739 --> 00:35:00.539
the movement towards having ecocide as an international

00:35:00.539 --> 00:35:04.000
crime. which is something that may, may eventually

00:35:04.000 --> 00:35:07.099
come, but at the present moment and for what's

00:35:07.099 --> 00:35:11.500
recently happened in Sudan, Gaza, Ukraine, there's,

00:35:11.699 --> 00:35:15.579
there's nothing, but it's possible that will

00:35:15.579 --> 00:35:17.980
change, it's possible Ukraine will bring cases

00:35:17.980 --> 00:35:21.559
and there will be processes and the lawyers will

00:35:21.559 --> 00:35:25.739
lawyer and, and there will be sort of, yeah,

00:35:25.900 --> 00:35:30.820
maybe reparations, some sort of high level accountability.

00:35:31.480 --> 00:35:34.940
Maybe you can tell I'm not a lawyer. Well, I'm

00:35:34.940 --> 00:35:37.139
hoping that your organization is already speaking

00:35:37.139 --> 00:35:40.079
to legal institutions, but if anyone's listening

00:35:40.079 --> 00:35:42.239
and thinks that they might be the right fit,

00:35:42.260 --> 00:35:45.460
perhaps they can reach out to you. I think it's

00:35:45.460 --> 00:35:47.500
great though that you're collecting this data

00:35:47.500 --> 00:35:51.460
in preparation for such a step as well. Speaking

00:35:51.460 --> 00:35:55.159
of Ukraine, I just put some Bellingcat resources

00:35:55.159 --> 00:35:59.739
in the chat. Back in 2023, we built a tool that

00:35:59.739 --> 00:36:02.769
shows what war has done to Ukraine's forests.

00:36:02.949 --> 00:36:05.489
It's a deforestation tracker tool that you can

00:36:05.489 --> 00:36:09.010
use. And more recently, we've just had a guide

00:36:09.010 --> 00:36:14.809
written on visualising impact on the environment

00:36:14.809 --> 00:36:17.690
from conflict, including displacement data that's

00:36:17.690 --> 00:36:20.789
linking to the question about population health

00:36:20.789 --> 00:36:23.489
as well. We've actually had a question on the

00:36:23.489 --> 00:36:25.429
fibre optics waste that you mentioned briefly

00:36:25.429 --> 00:36:28.150
at the beginning. Someone's asked, can you talk

00:36:28.150 --> 00:36:31.059
a little bit more about the impact of fibre optics

00:36:31.059 --> 00:36:33.440
waste on the environment from the Ukrainian conflict.

00:36:33.500 --> 00:36:35.679
I think this is quite a new concept for quite

00:36:35.679 --> 00:36:42.380
a few people in the audience. Yeah. So I'm guessing

00:36:42.380 --> 00:36:45.119
people have seen footage of these fibre optic

00:36:45.119 --> 00:36:47.139
drones. They have a little spool and that may

00:36:47.139 --> 00:36:51.059
have 10 to 40 kilometres worth of fibre optic

00:36:51.059 --> 00:36:55.510
cable on it. And there's thousands of these,

00:36:55.530 --> 00:36:57.570
well tens of thousands of these drones flying

00:36:57.570 --> 00:37:00.690
around the front lines of Ukraine. They use fibre

00:37:00.690 --> 00:37:05.650
optics so that they can't get jammed from electro

00:37:05.650 --> 00:37:10.449
magnetic interference and what we then see is

00:37:10.449 --> 00:37:14.869
this, these fibre optic cables grouped across

00:37:14.869 --> 00:37:19.210
trees, upland. It's really strange when you watch

00:37:19.210 --> 00:37:21.530
a lot of the footage from the conflict they kind

00:37:21.530 --> 00:37:24.400
of glisten and they look almost quite pretty,

00:37:25.139 --> 00:37:27.380
like quite Christmassy, but I think what we're

00:37:27.380 --> 00:37:29.719
going to find is that they have a sort of similar

00:37:29.719 --> 00:37:33.500
impact on wildlife, like, um, so fishing nets,

00:37:33.800 --> 00:37:38.320
um, for fisheries and so on, because they're,

00:37:38.340 --> 00:37:43.519
they end up in a tangle. Wildlife will get trapped,

00:37:43.719 --> 00:37:45.940
but wildlife were also using these. So there's

00:37:45.940 --> 00:37:49.719
like some images of like a bird's nest made out

00:37:49.719 --> 00:37:54.389
of fibre optic cables rather than twigs. pretty

00:37:54.389 --> 00:37:59.849
devastating. Um, and yeah, these are, these are

00:37:59.849 --> 00:38:02.309
all draped over areas of frontline, which are

00:38:02.309 --> 00:38:05.730
heavily mined, inaccessible, and they're going

00:38:05.730 --> 00:38:08.849
to be there for, you know, maybe decades. They're

00:38:08.849 --> 00:38:10.969
not going to degrade very naturally, very quickly.

00:38:11.550 --> 00:38:12.869
It's going to be a very long -term problem I

00:38:12.869 --> 00:38:17.929
think. It actually brings me to my next question,

00:38:17.949 --> 00:38:22.699
which is what do you think is a long -term implication

00:38:22.699 --> 00:38:25.380
of conflict -related environmental degradation,

00:38:26.139 --> 00:38:29.400
which is most underestimated. The thing that

00:38:29.400 --> 00:38:33.239
you are concerned is going to be unraveled in

00:38:33.239 --> 00:38:39.199
a couple of years time as a major issue. That's

00:38:39.199 --> 00:38:40.980
a really good question. I do not have an immediate

00:38:40.980 --> 00:38:51.380
answer for. I think that I don't know. I'm going

00:38:51.380 --> 00:38:52.579
to give an example. I'm not going to say this

00:38:52.579 --> 00:38:55.960
is the most, um, significant, it's just one that's

00:38:55.960 --> 00:38:59.539
immediately come to mind. So I'm thinking in,

00:38:59.579 --> 00:39:02.780
in Ukraine, we have Krakow -Kadan collapse. We

00:39:02.780 --> 00:39:06.119
have the big flood. We also have the, the upstream

00:39:06.119 --> 00:39:09.300
area, which relied on the reservoir for all the

00:39:09.300 --> 00:39:12.800
irrigation. And that's now gone. There's severe

00:39:12.800 --> 00:39:17.579
drought. There's going to be probably, even if

00:39:17.579 --> 00:39:21.659
there is access in the future for farmers, civilians

00:39:21.659 --> 00:39:24.559
to return. It's going to be really hard to make

00:39:24.559 --> 00:39:25.880
a living there. There's going to be lots of soil

00:39:25.880 --> 00:39:28.760
erosion because of climate change. So actually

00:39:28.760 --> 00:39:32.460
southern Ukraine is going to be sort of very

00:39:32.460 --> 00:39:36.360
severe impacts from climate change. And sort

00:39:36.360 --> 00:39:41.340
of there's a risk that areas like that will be

00:39:41.340 --> 00:39:44.739
because of the environmental impacts of war become

00:39:44.739 --> 00:39:49.840
very, very hard to live and survive in. that

00:39:49.840 --> 00:39:52.920
might be a very long -term consequence, like

00:39:52.920 --> 00:39:57.880
people move permanently. And I'm guessing that

00:39:57.880 --> 00:40:00.500
that impact isn't just isolated to Ukraine either.

00:40:01.039 --> 00:40:03.380
There's going to be other regions similarly affected

00:40:03.380 --> 00:40:07.219
in the same way. It's very, very difficult to

00:40:07.219 --> 00:40:09.099
think about positives. And I just wanted to remind

00:40:09.099 --> 00:40:11.000
people that there's about 10 minutes left. So

00:40:11.000 --> 00:40:13.760
if you want to put your comments in, your last

00:40:13.760 --> 00:40:17.719
final questions, please do. And thank you to

00:40:17.719 --> 00:40:19.440
those who've been dropping links in the chat

00:40:19.440 --> 00:40:21.139
as well. I'll make sure that they're included

00:40:21.139 --> 00:40:23.139
in the description of the podcast. So if you

00:40:23.139 --> 00:40:25.800
do have any helpful links related to this field

00:40:25.800 --> 00:40:29.059
of work, please do pop them there. I was talking

00:40:29.059 --> 00:40:31.179
about trying to pull some positives from this.

00:40:31.280 --> 00:40:34.480
What gives you hope in this field? If that's

00:40:34.480 --> 00:40:39.000
an impossible question, please respond as such.

00:40:39.480 --> 00:40:42.380
But is there any hope within this field that

00:40:42.380 --> 00:40:48.829
you've seen from your research? Yes, yeah, there's

00:40:48.829 --> 00:40:51.929
got to be hope. There's always hope. We're here

00:40:51.929 --> 00:40:54.730
today talking about this and that gives us hope,

00:40:55.190 --> 00:41:01.409
right? There's like people who are affected directly

00:41:01.409 --> 00:41:06.989
by environmental damage in conflict. They are

00:41:06.989 --> 00:41:09.150
a source of hope because they do things on the

00:41:09.150 --> 00:41:13.989
ground to make their environment better. What

00:41:13.989 --> 00:41:16.650
we need to do is make sure they get the support.

00:41:16.889 --> 00:41:19.510
to do that in the right way, in the safe way,

00:41:19.869 --> 00:41:26.190
in a sustainable way. And I think that is possible.

00:41:26.710 --> 00:41:28.429
That might come. There are changes going on at

00:41:28.429 --> 00:41:31.449
a high level as well. You know, things like the

00:41:31.449 --> 00:41:37.670
move towards the eco side. These will help. Yeah,

00:41:37.670 --> 00:41:42.889
we always have to have help. It keeps us driving

00:41:42.889 --> 00:41:47.039
forward at least at Bellingcat. As we're talking

00:41:47.039 --> 00:41:49.000
about that, you've mentioned within your talk

00:41:49.000 --> 00:41:52.260
that OSINT is kind of a hopeful method that's

00:41:52.260 --> 00:41:58.360
been helping advance this. What would be your

00:41:58.360 --> 00:42:00.679
advice to people who are listening to this, perhaps

00:42:00.679 --> 00:42:06.199
with open source research skill sets like satellite

00:42:06.199 --> 00:42:09.920
analysts and people who are very used to kind

00:42:09.920 --> 00:42:12.039
of looking at environmental degradation through

00:42:12.659 --> 00:42:15.199
open source methods. What would be your advice

00:42:15.199 --> 00:42:18.320
to them in terms of getting involved in the kind

00:42:18.320 --> 00:42:20.559
of work that you do, not necessarily related

00:42:20.559 --> 00:42:23.239
to your organization, but within the same field?

00:42:24.280 --> 00:42:26.840
What would be your advice to them? Any tips or

00:42:26.840 --> 00:42:29.780
tricks or organizations that you might want to

00:42:29.780 --> 00:42:32.780
point out that people could reach out to as well?

00:42:42.500 --> 00:42:46.840
try and learn as much as you can about the science

00:42:46.840 --> 00:42:50.159
of fires, the science of deforestation, ecology,

00:42:51.099 --> 00:42:55.860
like the more knowledge you have on a particular

00:42:55.860 --> 00:42:58.639
environmental topic, the better your analysis

00:42:58.639 --> 00:43:02.360
is going to be. So I think don't shy away from

00:43:02.360 --> 00:43:06.300
learning stuff as well. Don't just think that

00:43:06.300 --> 00:43:09.150
because you You can write a Google Earth engine

00:43:09.150 --> 00:43:12.949
script that detects burn areas you know about

00:43:12.949 --> 00:43:16.289
fires. Like go away, teach yourself, learn, there's

00:43:16.289 --> 00:43:19.869
stuff out there. Get in contact with organisations

00:43:19.869 --> 00:43:21.610
like us, like we're always happy to answer an

00:43:21.610 --> 00:43:26.409
email. So please do. And then give it a try,

00:43:26.650 --> 00:43:30.210
yeah. See what you can do. Publish it. There's

00:43:30.210 --> 00:43:34.690
lots of, there's like, I can't like reiterate

00:43:34.690 --> 00:43:38.789
enough how much is not being reported and there

00:43:38.789 --> 00:43:46.909
is to report upon. So yeah. Where do you see

00:43:46.909 --> 00:43:49.809
the biggest data gaps? Like if you were, if you

00:43:49.809 --> 00:43:52.789
were wishing on the spot right now for more researchers

00:43:52.789 --> 00:43:55.909
to dive into a certain area of what you've spoken

00:43:55.909 --> 00:43:59.530
about, where are the huge data gaps within this

00:43:59.530 --> 00:44:04.389
field? So I can point to like countries where

00:44:04.389 --> 00:44:07.670
there's massive gaps of information. So Sudan

00:44:07.670 --> 00:44:10.429
is an obvious one. It's probably an answer you've

00:44:10.429 --> 00:44:12.590
heard in relation to not just the environment,

00:44:13.150 --> 00:44:16.250
but there's other places too, places that are

00:44:16.250 --> 00:44:18.269
maybe not so actively at war that just come out

00:44:18.269 --> 00:44:22.210
with fighting, places like Yemen, Syria, Lebanon,

00:44:23.130 --> 00:44:27.949
where there is so much that we could know and

00:44:27.949 --> 00:44:30.530
need to know, but you're not currently know and

00:44:30.530 --> 00:44:34.679
people are not researching. If I had to pick

00:44:34.679 --> 00:44:38.679
an environmental domain where we don't know very

00:44:38.679 --> 00:44:42.900
much, I would probably go with biodiversity.

00:44:45.119 --> 00:44:47.159
And not on vegetation, not habitats, but more

00:44:47.159 --> 00:44:52.159
on actual wildlife itself. How particular species

00:44:52.159 --> 00:44:55.320
are affected by something like noise pollution

00:44:55.320 --> 00:45:00.099
from water. We don't know anything about that.

00:45:01.260 --> 00:45:06.940
Really. You mentioned Sudan. I've put the Sudanese

00:45:06.940 --> 00:45:10.179
Civil War link in the chat there for anybody

00:45:10.179 --> 00:45:14.880
who wants to chat, well, research, particularly

00:45:14.880 --> 00:45:19.880
that particular conflict. Don't be afraid to

00:45:19.880 --> 00:45:24.400
also put environmental damage in these conflict

00:45:24.400 --> 00:45:27.480
channels that we have in the server. It's absolutely...

00:45:28.059 --> 00:45:30.019
It's absolutely something we want to talk about.

00:45:30.139 --> 00:45:33.260
It's absolutely fine to not focus so much on

00:45:33.260 --> 00:45:36.800
the immediate effects of war, but the long term

00:45:36.800 --> 00:45:41.800
effects of war. That's absolutely vital as well.

00:45:42.440 --> 00:45:44.659
Cyber's written, good grief. I forgot about noise

00:45:44.659 --> 00:45:47.280
pollution. Yeah. That's what I found through

00:45:47.280 --> 00:45:50.400
this talk is that more and more Owen, you're

00:45:50.400 --> 00:45:52.320
uncovering all these types of pollution that

00:45:52.320 --> 00:45:56.360
we may have overlooked over this time. Have you

00:45:56.360 --> 00:46:01.260
ever had the most surprising kind of effects

00:46:01.260 --> 00:46:04.780
of war? What would you say in terms of environmental

00:46:04.780 --> 00:46:07.760
damage has surprised you when it's come to conflict?

00:46:08.619 --> 00:46:11.579
Did you always expect to, for example, find fibre

00:46:11.579 --> 00:46:16.820
optic cables being polluted via conflict? Has

00:46:16.820 --> 00:46:19.460
there been some surprising aspects that you've

00:46:19.460 --> 00:46:21.340
come across in different conflicts around the

00:46:21.340 --> 00:46:30.429
world? It's a good one. That's a good one. I

00:46:30.429 --> 00:46:37.429
think the sort of conflict is maybe not directly

00:46:37.429 --> 00:46:41.269
conflict but what I maybe didn't have so much

00:46:41.269 --> 00:46:46.889
of an appreciation of before was to how much

00:46:46.889 --> 00:46:50.750
the oceans are like the Wild West and what happens

00:46:50.750 --> 00:46:56.039
in the oceans or dodgy dealings there are. We

00:46:56.039 --> 00:46:57.800
know a bit more about this now, like all the

00:46:57.800 --> 00:47:00.460
great work about ship to ship transfers and so

00:47:00.460 --> 00:47:04.840
on. I think that was quite surprising to me.

00:47:05.639 --> 00:47:09.840
Learning about the amount of marine pollution

00:47:09.840 --> 00:47:16.920
basically. And linked to that is old marine pollution

00:47:16.920 --> 00:47:21.679
as well. So the amount of dumped unexploded ordnance

00:47:21.679 --> 00:47:27.550
from World War II in the Baltic. in the Irish

00:47:27.550 --> 00:47:34.469
Sea and how that's now degrading, corroding with

00:47:34.469 --> 00:47:36.210
warmer oceans and is potentially going to be

00:47:36.210 --> 00:47:41.269
a problem as things that are encased, TNT, et

00:47:41.269 --> 00:47:45.269
cetera, are released into the environment. So

00:47:45.269 --> 00:47:47.570
yeah, maybe, yeah, I'll go with marine pollution.

00:47:49.670 --> 00:47:53.230
Yeah, if you're interested in looking more into

00:47:53.230 --> 00:47:56.269
maritime issues and ship -to -ship transfer,

00:47:56.449 --> 00:47:59.389
I mean, we've recently had a fantastic stage

00:47:59.389 --> 00:48:03.949
talk from Christine Panton, who's just an ocean

00:48:03.949 --> 00:48:07.489
hobbyist, has a full -time day job, but in his

00:48:07.489 --> 00:48:10.829
evenings creates a really amazing tool called

00:48:10.829 --> 00:48:13.710
Sketchy Boats, which looks at suspicious boats

00:48:13.710 --> 00:48:16.989
doing suspicious things around the world. And

00:48:16.989 --> 00:48:20.050
we've also, Bellingcat created a tool, well,

00:48:20.269 --> 00:48:23.170
one of our contributors, Ollie Ballinger, who's

00:48:23.170 --> 00:48:26.289
a fantastic lecturer in London, he created a

00:48:26.289 --> 00:48:29.710
tool that's called the Ship Detection Tool, which

00:48:29.710 --> 00:48:34.110
also highlights using synthetic aperture radar

00:48:34.110 --> 00:48:38.030
imagery when ships are in port or doing ship

00:48:38.030 --> 00:48:39.849
-to -ship transfers in the middle of the sea.

00:48:40.539 --> 00:48:42.840
So you can have a look at that as well. I put

00:48:42.840 --> 00:48:46.460
the link to that in our chat and I'm sure SettleKnife

00:48:46.460 --> 00:48:48.960
or any of the mods listening could also put the

00:48:48.960 --> 00:48:52.500
link to the last stage talk on suspicious boats

00:48:52.500 --> 00:48:56.860
in the chat as well. We are coming close to time.

00:48:57.340 --> 00:49:02.760
I just want to read a final few comments. Someone's

00:49:02.760 --> 00:49:04.599
put, what we are doing right now is actually

00:49:04.599 --> 00:49:06.739
a step in the right direction. Spreading awareness

00:49:06.739 --> 00:49:09.510
is a very real action you can take. By keeping

00:49:09.510 --> 00:49:12.630
yourself informed, you can inform others. Yes,

00:49:12.690 --> 00:49:15.789
hopefully that's exactly what this stage talk

00:49:15.789 --> 00:49:21.170
has done for you guys listening in. And somebody

00:49:21.170 --> 00:49:23.469
else put, more on climate change, the amount

00:49:23.469 --> 00:49:26.170
of CO2 released from burning refineries and ammunition

00:49:26.170 --> 00:49:29.250
depots must be astounding, as well as local environmental

00:49:29.250 --> 00:49:32.690
effects and petroleum chemicals as well. Yeah,

00:49:32.690 --> 00:49:34.610
I think that was mentioned also within the talk.

00:49:34.989 --> 00:49:37.469
Right. Thank you so much, Owen, for your time

00:49:37.469 --> 00:49:40.829
today. I've really appreciated you coming in

00:49:40.829 --> 00:49:45.769
and walking us through what is practically quite

00:49:45.769 --> 00:49:50.230
a depressing view of the impact of conflict on

00:49:50.230 --> 00:49:52.829
the environment, but a very important one and

00:49:52.829 --> 00:49:56.469
the work that your organization is doing is incredible.

00:49:58.110 --> 00:50:00.429
Just to finish off, how can people get in touch

00:50:00.429 --> 00:50:04.730
with you? Where is the best place to find information

00:50:04.730 --> 00:50:08.090
on the observatory. How can people reach out

00:50:08.090 --> 00:50:11.889
if they want to help or offer tools for your

00:50:11.889 --> 00:50:39.989
work? and yeah, happy to speak to people. Great.

00:50:40.150 --> 00:50:42.750
If you want to continue this conversation, I

00:50:42.750 --> 00:50:45.750
mentioned the Sudan channel earlier up, but we

00:50:45.750 --> 00:50:49.929
also have a hashtag environment and wildlife

00:50:49.929 --> 00:50:53.150
as well as many conflict channels within the

00:50:53.150 --> 00:50:57.099
space. Please do jump in. To those, if you want

00:50:57.099 --> 00:50:59.739
to continue this conversation, highlight tools

00:50:59.739 --> 00:51:02.980
and resources that you can use to continue investigating

00:51:02.980 --> 00:51:04.900
this topic. But for now, thank you so much, Owen.

00:51:05.860 --> 00:51:08.659
And we'll be back in two weeks time with another

00:51:08.659 --> 00:51:14.780
stage talk. Thank you, everybody. Thank you for

00:51:14.780 --> 00:51:17.579
listening to the stage talk. If you'd like to

00:51:17.579 --> 00:51:20.480
catch a stage talk live where you can ask the

00:51:20.480 --> 00:51:23.260
guest questions, join the Bellingcat Discord

00:51:23.260 --> 00:51:29.900
server by visiting www .discord .gg slash Bellingcat.

00:51:30.380 --> 00:51:33.500
The music you've heard is titled Dawn by Newer

00:51:33.500 --> 00:51:35.960
Self and is courtesy of Artlist.
