2017 Data (information)
Tanzania ensemble predictions, 2017: probability of cropland present (Geosurvey based)
The presence-absence of croplands, rural settlements and other land cover characteristics can be visually interpreted in the high-resolution satellite images displayed in for example Google and Bing Maps, using their respective application interfaces. Geosurvey enables users to query satellite images and georeferenced air/drone photos systematically, on spatially randomized or other area sampling frames, within any given global geographical area of interest (AOI). R script at: https://github.com/mgwalsh/Geosurvey
- TZ_grids.docx application/vnd.openxmlformats-officedocument.wordprocessingml.document 146 KB Download File
- TZ_cppreds_2017.tif.gz application/gzip 270 MB Download File
- Academic Units
- Center for International Earth Science Information Network
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