From satellite imagery to AI: Learning from Green to Grey, a science-geared cross-border investigative journalism
By Rina Tsubaki
Satellite imagery, artificial intelligence (AI), and large-scale data analysis are opening new possibilities not only for research but also for journalism. These technologies can help investigate complex issues such as climate change, biodiversity loss, and landscape change. But data alone can never tell the full story. Understanding what these changes mean for people and nature requires both scientific expertise and journalistic investigation.
Green to Grey, a Europe-wide investigative journalism project recently awarded a Sigma Award, demonstrates how such collaboration can work in practice. Bringing together researchers from the Norwegian Institute for Nature Research (NINA) and more than 40 journalists across 11 European countries, the project used AI and satellite imagery to identify where natural and agricultural lands had been converted into housing, industry, and infrastructure and investigate what these changes meant for local communities.
«We found that every year Europe loses around 1,500 square km of natural and agricultural land to construction,» said Zeynep Şentek, one of the project’s coordinators. «Between 2018 and the end of 2023, Europe lost approximately 9,000 square km, roughly the size of Cyprus.«
This topline finding provided a starting point for newsrooms to zoom into their own countries. By combining large-scale analysis with local reporting, journalists uncovered links not only to overtourism and urban expansion, but also to the loss of protected landscapes, governance failures, and, in some cases, allegations of corruption.
How did the magic happen?
So, how did this collaboration between scientists and journalists actually work out?
Scientists played a proactive role by developing collaborative, AI-powered models to identify land-cover changes. Journalists then became part of the research process itself, manually reviewing and verifying the AI-generated results.
«We fact-checked around 10,000 data points to determine whether the model was right or wrong,» said Zeynep. «That took hundreds of hours.»
For Jelena Prtorić, another journalist involved in the project, this painstaking verification process was crucial. «We wanted to do more manual verification to get higher accuracy and better results. That was important because we could then build stories on top of it. We knew we could tie these findings to what was happening in places where nature and cropland were disappearing.«
The collaboration truly showed how scientists and journalists can complement each other. It ended up as ‘win-win’: journalists gained scientific methods to back their story-hunting processes, while researchers received valuable human validation of their models.
Not an easy task to bring two worlds together
While the final stories may appear seamless, the collaboration required significant effort to bridge two very different worlds.
«Scientists focus a lot on methodology and precision, while journalists want clarity and publishable results,» said Zeynep. «Combining these worlds is hard. You need people who can understand both sides and translate between them.«
With dozens of journalists involved, the team quickly realised that coordination was critical. To streamline communication and avoid overwhelming researchers with requests, they introduced data coordinators who acted as intermediaries between the scientific and journalistic teams.
According to both Zeynep and Jelena, a shared objective was one of the key ingredients for success.
«It’s really valuable if there is some sort of mutual goal between scientists and journalists working on the project,» said Jelena. «The timelines and outcomes can be very different, so it’s important to define expectations from the beginning.»
Open-mindedness and patience also played an important role, with scientists adapting to journalistic demands for clarity and timeliness, while journalists learned to navigate the complexity and uncertainty inherent in scientific research.
Desk research alone doesn’t do justice to local context
The importance of collaboration became even clearer when journalists moved from analysing satellite imagery to reporting on the ground.
Over the years, the European Forest Institute has brought journalists to restoration sites. Jelena joined one such field visit in Castilla y León, Spain.
There, she encountered the complex connections between depopulation, wildfire risk, and ecological restoration.
«I didn’t know much about the region before I got there,» she recalled. «What surprised me was how the fact that the region is now very sparsely populated connects to restoration efforts. As people leave, fewer people manage the landscape as they used to. That creates conditions where wildfires can spread more easily and become harder to stop.«
The experience reinforced an important lesson: satellite imagery may show where landscapes are changing, but it cannot explain the social, historical, economic, and political dynamics behind those changes.
«This is where complexity matters,» said Jelena. And nature restoration presents its own complexities.
«We shouldn’t see every new tree plantation as the best thing we can do for nature restoration,» she said. «There needs to be reflection about what is being planted, why it is being planted, whether those trees will survive under future climate conditions, and whether it is actually beneficial for biodiversity.«
Her conclusion offers a useful reminder for both scientists and journalists:
«Not all green is the same.«
What do journalists want from scientists?
Looking ahead, both Zeynep and Jelena hope to see more collaborations that move beyond the traditional “scientists as a source”.
«Scientists should be much more open to interacting with journalists, not just in an interviewee-interviewer way,» said Zeynep. «In the climate field, it’s not enough anymore to simply produce research.«
Jelena would like to see even deeper integration of scientific expertise within journalistic projects.
«I would really like to see more projects that have scientists embedded within journalistic teams,» she said. «As journalists, we inevitably simplify things because we want to tell a story. Sometimes nuances are lost along the way, and I know that can be frustrating for scientists.»
She believes closer collaboration can help preserve that nuance while also building trust between the two communities.
«When scientists become part of the process rather than simply sources, there is more trust. There is more opportunity to bring complexity into the story without losing the story itself.«
Building on this inspiring example
While Green to Grey used AI to identify landscape change, a new challenge is emerging: understanding how generative AI interprets and explains those changes. At the upcoming Digital Methods Summer School, the author will bring together journalists and researchers to explore how GenAI reads satellite imagery, what knowledge it privileges, and what it overlooks. In doing so, the sprint continues the spirit of Green to Grey, using collaboration between science and journalism to better understand the opportunities and limitations of emerging technologies.
This story is another result from the 2025 Climate Arena Conference, where INFORMA’s Jonas Simons from KU Leuven and Rina Tsubaki from EFI had the opportunity to exchange with 38 journalists from across Europe in the panel ‘Investigating Nature Restoration in Europe’. Moderated by Jelena Prtorić, they shared the work we have been carrying out under two Horizon Europe-funded projects, INFORMA and SUPERB. You can read their post about the experience here. You can also watch Jonas’ reflections in the video above.


































