Building a global cropland mask, is not an easy task

Criticizing is easy, and doing is hard, especially when trying to create a global map of croplands. Some collegues from CESBIO have worked on that subject within the Sen2Agri project, and obtained good resuts, but only at the local or country scale. Finding a method that works everywhere must clearly be much harder.These days, I have received a lot of emails, tweets and posts about a new cropland global product at 30 m resolution, edited by USGS. I have no doubt it was a serious work from a serious team, done with appropriate terrain data and methods, validation, and of course a tremendous data processing.  But there it is, I checked it over a lot of places that I know very well, and it seems to me that the cropland mask, at least in South West France, is clearly overestimated. Is it the same in tour region ? Here are some examples :

I took some more examples, randomly, in Spain and Scotland, where the results look alike :

 I did not find much information about the cloud mask validation in USGS data release. Maybe will it

come soon, or did I overlook the articles ? As I have heard similar comments from colleagues in Belgium or Italy, this does not give too much confidence in the 15-20% increase figure quoted in the articles. But maybe the issue is only in Europe, and will be solved in next version ? 

Plus d'actualités

The missing link to valorize CESBIO’s applicative research works

=>  My colleagues at CESBIO are extremely creative! Over the past ten years, they have developed a wide range of new products and methods for extracting information from Copernicus data. They don’t just develop and validate the method on a few sites; they continue their work until they have produced data for the whole of […]

Le chaînon manquant dans la valorisation des travaux de recherche en télédétection

=> Mes collègues du CESBIO sont très créatifs ! Ils ont mis au point, au cours des dix dernières années, un grand nombre de nouveaux produits et de méthodes d’extraction de l’information à partir des données Copernicus (Sentinel-1 et 2). Et bien souvent, ils ne s’arrêtent pas à la mise au point de la méthode […]

Sentinel-2 overtakes Landsat in scientific litterature

OpenAlex is a new, yet already very useful, open database for exploring scientific literature. For an upcoming blog post on the CNES Datacampus website, I analysed the proportion of papers that used only one of the Sentinel-2 or Landsat missions, as well as those that used both, in 2025. What struck me was that Sentinel-2 […]

Rechercher