Base Layer
- Title
- CROP YIELDS
- Description
- Spatial crop yields time series were produced using an adapted custom version of the SARRA-O model developed by UMR TETIS from the CIRAD. It primarily uses data on cropping practices, main climate variables, and soil conditions.
The orignal spatial resolution of the output of the SARRA-O model is 25 km but it was resampled to 1 km to fit the LUCCIA model land unit size. A smoothing at the pixel level of the yield maps time series was also done to improve the data quality :
- Spatial smoothing : moving average with a circular window of 25 km
- Temporal smoothing : average of values for years N-1, N, and N+1
The productivity of 10 crops is predicted : Cassava, Maize, Feijao (Beans), Rice, Groundnut, Sorghum, Sesame, Cotton and Tobacco.
For each crop, a full time series of predicted yield maps spanning from 2017 to 2050 at national level with a spatial resolution of 1 km was done with two more combined factors :
- 4 levels or ranges of yield : increasing from level 1 to 4
- 2 IPCC climate scenarios used as input of the SARRA-O model for bioclimatic variables : SSP1-2.6 (optimistic) and SSP5-8.5 (pessimistic)
Hence for each crop, 272 maps were produced (34 years x 4 yield levels x 2 climate scenarios), and in total for all the crops 2720 maps. In this geoportal, only a subset of this dataset is presented as a showcase as it would not be possible to load all the maps. - Organization
- Nitidæ
- Person
- Manuel Uiliamo
- m.uiliamo (at) nitidae.org
- Projection
- EPSG:32737
- Extent
- -2367676.23430000012740493, 6967180.8068000003695488, 1377642.72310000006109476, 8890129.09500000067055225
- Web Map Service
- WMS URL
- WMTS URL
- WFS URL
