IIASA team has created a new validation data set, which is completely independent from all other existing maps or reference data sets, and which is in line with the cropland definitions and mapping period of the WorldCereal products. To decide if this is an active cropland in each period, the experts looked at very high-resolution Google historical imagery and Google Street level images, Microsoft Bing images, ESRI imagery, Planet historical data, Sentinel-2 time series, and Modis NDVI time series. The experts were asked to label 5 by 5 Sentinel pixels (each pixel 10m by 10m) either as winter crops, or as summer crops, or as maize (if this was possible), or as active crops (where it was not possible to confirm a growing season, e.g. overlap...
A satellite-derived cropland extent map at high spatial resolution (30-m or better) is a must for fo...
The European Space Agency (ESA) WorldCereal 10m 2021 product suite consist of global-scale annual an...
This is a reference data set collected for validation of the monthly land cover maps at a 3m and at ...
IIASA team has created a new validation data set, which is completely independent from all other exi...
This dataset was created by using a new IIASA tool, called “Street Imagery validation” (https://svwe...
Accurate and timely information on the global cropland extent is critical for food security monitori...
There is a need to validate existing global cropland maps since they are used for different purposes...
Cropland mapping relies heavily on field data for algorithm calibration, making it, in many cases, a...
When talking about crop identification, trying to think global is a big challenge as we have to deal...
A new 1 km global IIASA ‐IFPRI cropland percentage map for the baseline year 2005 has been developed...
Timely and accurate information on the global cropland extent is critical for applications in the fi...
Global timely, accurate, and cost-effective cropland mapping is a prerequisite for agriculture monit...
A new 1km global IIASA-IFPRI cropland percentage map for the baseline year 2005 has been developed w...
This dataset provides a 10m resolution map of cropland in Kenya for the 2019-2020 growing season (ke...
Agricultural practices and investments vary by season due to the different challenges faced, such as...
A satellite-derived cropland extent map at high spatial resolution (30-m or better) is a must for fo...
The European Space Agency (ESA) WorldCereal 10m 2021 product suite consist of global-scale annual an...
This is a reference data set collected for validation of the monthly land cover maps at a 3m and at ...
IIASA team has created a new validation data set, which is completely independent from all other exi...
This dataset was created by using a new IIASA tool, called “Street Imagery validation” (https://svwe...
Accurate and timely information on the global cropland extent is critical for food security monitori...
There is a need to validate existing global cropland maps since they are used for different purposes...
Cropland mapping relies heavily on field data for algorithm calibration, making it, in many cases, a...
When talking about crop identification, trying to think global is a big challenge as we have to deal...
A new 1 km global IIASA ‐IFPRI cropland percentage map for the baseline year 2005 has been developed...
Timely and accurate information on the global cropland extent is critical for applications in the fi...
Global timely, accurate, and cost-effective cropland mapping is a prerequisite for agriculture monit...
A new 1km global IIASA-IFPRI cropland percentage map for the baseline year 2005 has been developed w...
This dataset provides a 10m resolution map of cropland in Kenya for the 2019-2020 growing season (ke...
Agricultural practices and investments vary by season due to the different challenges faced, such as...
A satellite-derived cropland extent map at high spatial resolution (30-m or better) is a must for fo...
The European Space Agency (ESA) WorldCereal 10m 2021 product suite consist of global-scale annual an...
This is a reference data set collected for validation of the monthly land cover maps at a 3m and at ...