Academic Commons

Data (information)

Tanzania ensemble predictions, 2017: probability of cropland present (Geosurvey based)

Walsh, Markus

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

Geographic Areas

Files

  • thumnail for TZ_grids.docx TZ_grids.docx application/vnd.openxmlformats-officedocument.wordprocessingml.document 146 KB Download File

Notes

This work by Africa Soil Information Service is licensed under a Creative Commons Attribution 4.0 Unported License.

Academic Commons provides global access to research and scholarship produced at Columbia University, Barnard College, Teachers College, Union Theological Seminary and Jewish Theological Seminary. Academic Commons is managed by the Columbia University Libraries.