Argentina Crop Maps 2019-2021
Parameter
Winter crops 2019
Represented classes
Winter grains
Other winter crops
Fallow
Sugar cane
Non cropland
Description
National Crop Map for the 2019-2020 season. Unlike the map made for the 2018-2019 season, in this version the maps for the fine (winter 2019) and coarse (summer 2020) seasons were generated separately. The mapped area was expanded to include the Province of Corrientes and the legend was extended to include rice and sorghum crops.
Summer crops 2020
Maize
Soja
Sunflower
Bean
Sugar cane
Cotton
Peanut
Rice
Sorghum
Sunflower-CV
Fallow
Non cropland
National Crop Map for the 2019-2020 season. Unlike the map made for the 2018-2019 season, in this version the maps for the fine (winter 2019) and coarse (summer 2020) seasons were generated separately. The mapped area was expanded to include the Province of Corrientes and the legend was extended to include rice and sorghum crops.
Winter crops 2020
Winter grains
Chickpea
Fallow
Sugar cane
Pea
Non cropland
National Crop Map for the 2020-2021 season. The maps for the fine (winter 2020) and coarse (summer 2021) seasons were generated, and this new version includes an extension of the mapped area to include more extensive crop sites (NOA, San Luis). It also incorporates the differentiation of pea, potato and green sorghum crops. Twenty-eight INTA units have participated in this initiative.
Summer crops 2021
Maize
Soja
Sunflower
Bean
Sugar cane
Cotton
Peanut
Rice
Sorghum
Sunflower-CV
Fallow
Potatoe
Sorghum greens
Non data
National Crop Map for the 2020-2021 season. The maps for the fine (winter 2020) and coarse (summer 2021) seasons were generated, and this new version includes an extension of the mapped area to include more extensive crop sites (NOA, San Luis). It also incorporates the differentiation of pea, potato and green sorghum crops. Twenty-eight INTA units have participated in this initiative.
Joint Research Center (JRC)
Source data
Description
The methodology consisted of supervised classifications based on indices obtained from satellite images of the Landsat 8 platform. The training and validation samples were obtained from field surveys and complementary information.
Spatial resolution
Global coverage
10 m spatial resolution
Temporal resolution
Period of observation:
2019-2021