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Climate, war, pollution: how satellites are documenting our greatest challenges

The impact of the war in Ukraine on wheat production

with Ahmad Al Bitar, CNRS Research Engineer at Centre d'Études Spatiales de la Biosphère and Veronika Antonenko, Research Engineer at Centre d'Études Spatiales de la Biosphère
On March 26th, 2025 |
3 min reading time
Ahmad Al Bitar
Ahmad Al Bitar
CNRS Research Engineer at Centre d'Études Spatiales de la Biosphère
anonyme
Veronika Antonenko
Research Engineer at Centre d'Études Spatiales de la Biosphère
Key takeaways
  • The war in Ukraine has had an impact on wheat yields, a fact demonstrated by satellite data in two regions: Poltava and Kherson.
  • In 2022, wheat yields fell by 20% in the Kherson region (which was invaded by the Russian army) compared to previous years, while they remained stable in Poltava (which was far from the front).
  • Two main factors explaining the impact of the Russian army on yields are limited access to plots of land and the consequences of the war on farmers.
  • This data comes from the Sentinel-2 satellites, launched as part of the European Earth observation and monitoring program, Copernicus.
  • The weather does not seem to be a factor in explaining the fall in wheat crop yields.

At the end of 2024, you published a study evaluating the impact of the war in Ukraine on wheat crops1. Can you give us the details of the results ? 

Ahmad Al Bitar.  We cal­cu­la­ted wheat crop yields using satel­lite data in two regions : Pol­ta­va, an area far from the front ; and Kher­son, which was inva­ded by the Rus­sian army. In 2022 (the year of Rus­sia’s inva­sion of Ukraine), wheat yields in the Kher­son region fell by 20% com­pa­red to pre­vious years : the amount of dry bio­mass (the amount of orga­nic mat­ter) decrea­sed from 9.7 tons per hec­tare (t/ha) in 2020 and 2021 to 7.8 t/ha. In the Pol­ta­va region, on the other hand, yields remain stable : this demons­trates the nega­tive impacts in areas inva­ded by the Rus­sian army. This affects the food secu­ri­ty of many coun­tries, since Ukraine was the world’s 5th lar­gest wheat expor­ter in 2021. 

Why did the Russian invasion have an impact on agricultural yields ? 

There are two dis­tinct ways in which it has had an effect. First­ly, access to plots of land is limi­ted due to the pre­sence of Rus­sian troops. This hin­ders agri­cul­tu­ral prac­tices such as tilling the soil, fer­ti­li­sing and irri­ga­tion. The other impact concerns human and mate­rial resources. Far­mers may fall vic­tim to the war or be recrui­ted to the front. And mate­rial resources such as fer­ti­li­sers or means of trans­por­ting wheat are affec­ted by the war. 

Our work does not allow us to disen­tangle the dif­ferent causes ; fur­ther stu­dies com­bi­ned with vali­da­tion data will be neces­sa­ry. Here we demons­trate that it is pos­sible to quan­ti­fy the impact of war within agri­cul­tu­ral plots, at a reso­lu­tion of 10 meters and over large areas. This work is car­ried out using satel­lite obser­va­tions and model­ling, and the­re­fore without going into the field : this is unprecedented. 

What is the purpose of assessing the impact of the war within the plots ? 

Agri­cul­tu­ral prac­tices homo­ge­nise crops to opti­mise yields. Here, on the contra­ry, we observe hete­ro­ge­nei­ty of bio­mass within the plots. They look like plots left in their natu­ral state. We assume that the lack of agri­cul­tu­ral prac­tices explains this drop in yield in the Kher­son region. 

What type of satellite data enabled you to obtain these results ? 

We main­ly used data from Sentinel‑2, satel­lites laun­ched as part of the Euro­pean Earth obser­va­tion and moni­to­ring pro­gramme, Coper­ni­cus. These satel­lites car­ry opti­cal ins­tru­ments, which pro­vide high-reso­lu­tion images of the Earth in the visible spec­trum (the equi­va­lent of pho­to­graphs) and near-infra­red. They make a com­plete cir­cum­na­vi­ga­tion of the pla­net eve­ry five days. 

One of the cru­cial fea­tures of the Coper­ni­cus pro­gramme is its com­mit­ment to the conti­nui­ty of long-term obser­va­tions. The other cru­cial point is that the data is free of charge for scien­tists and pri­vate appli­ca­tions. This makes it pos­sible to capi­ta­lise on the know­ledge acqui­red in order to trans­fer these new metho­do­lo­gies to other regions of the world. 

Why is this satellite data important ? 

It is of course very dif­fi­cult to car­ry out field stu­dies in war zones. Pre­vious stu­dies have iden­ti­fied signi­fi­cant dis­rup­tions in the wheat dis­tri­bu­tion chain, but it is dif­fi­cult to deter­mine the cause because mul­tiple fac­tors may be invol­ved, such as the des­truc­tion of trans­port infra­struc­ture, increa­sed fer­ti­li­ser prices and popu­la­tion dis­pla­ce­ment. Our stu­dy makes it pos­sible to assess the direct impact of the Rus­sian inva­sion on crop growth. 

In gene­ral, satel­lites are the tools of choice in disas­ter situa­tions. There is an inter­na­tio­nal Char­ter on Space and Major Disas­ters that coor­di­nates the space res­ponse to disas­ters. Space agen­cies, govern­ments and pri­vate com­pa­nies can mobi­lise their satel­lites to focus on the affec­ted areas and pro­vide data to emer­gen­cy ser­vices and decision-makers. 

How do you manage to calculate the yields of plots from satellite images ? 

Two pre­li­mi­na­ry steps are neces­sa­ry. The first consists of cor­rec­ting the satel­lite images for the effects of the atmos­phere and clouds using the MAJA tool from the French space agen­cy CNES. The second step aims to iden­ti­fy the wheat plots. It is car­ried out by the com­pa­ny Ker­map using arti­fi­cial intelligence. 

The Agri­Car­bon-EO pro­ces­sing chain is then applied. It inte­grates remote sen­sing data and agro­no­mic model­ling to pro­vide wheat pro­duc­tion maps with a reso­lu­tion of 10 metres. Agri­Car­bon-EO is the result of ten years of research and deve­lop­ment at CESBIO. All the tools were vali­da­ted in various Euro­pean contexts before being trans­fer­red to Ukraine. 

Could the drop in yield observed in the Kherson region be explained by other factors, such as the climate ? 

Vero­ni­ka Anto­nen­ko. From the start of the stu­dy, we iden­ti­fied the impor­tance of veri­fying the impact of the wea­ther. By com­pa­ring the wea­ther in 2020, 2021 and 2022 with the cli­ma­to­lo­gy of the last for­ty years, we found that the condi­tions were within the norm in our two stu­dy areas. This allo­wed us to exclude the wea­ther as an expla­na­to­ry fac­tor for this drop in yield. 

Interview by Anaïs Marechal
1https://iopscience.iop.org/article/10.1088/1748–9326/ad8363  

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