Tanzania ensemble predictions, 2017: probability of cropland present (Geosurvey based)
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https://academiccommons.columbia.edu/doi/10.7916/D8HX2VTV
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资源简介：
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
农田、农村居民点及其他土地覆盖特征的存在与否，可通过谷歌地图（Google Maps）和必应地图（Bing Maps）等平台各自的应用程序接口，在其显示的高分辨率卫星图像中进行目视解译。Geosurvey工具允许用户在全球任意指定的地理兴趣区域（AOI）内，基于空间随机或其他区域抽样框架，系统性地查询卫星图像及地理参考航空/无人机照片。R脚本地址：https://github.com/mgwalsh/Geosurvey
提供机构：
Columbia University
创建时间：
2018-04-26
