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

Markus Walsh

Title:
Tanzania ensemble predictions, 2017: probability of cropland present (Geosurvey based)
Author(s):
Walsh, Markus
Date:
Type:
Data (information)
Department(s):
Center for International Earth Science Information Network
Persistent URL:
Geographic Area:
Tanzania
Notes:
This work by Africa Soil Information Service is licensed under a Creative Commons Attribution 4.0 Unported License.
Abstract:
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
Subject(s):
Remote sensing
Agriculture
Land use
Land use, Rural
Item views
31
Metadata:
text | xml
Suggested Citation:
Markus Walsh, , Tanzania ensemble predictions, 2017: probability of cropland present (Geosurvey based), Columbia University Academic Commons, .

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