经过全球85,000 多个验证样本定量评估,其在基本分类系统(10 个主要土地覆被类型)下的总体精度为 80.88%(±0.27%),在LCCS 一级验证系统(17 个 LCCS 土地覆被类型)的总体精度为 73.24%(±0.30%)。 GLC_FCS30D数据集目前已通过awesome-gee-community-catalog 项目公开在GEE上。 GEE中获取GLC_FCS30D数据 GLC_FC...
Created by: Zhang et al. 2023 Curated in GEE by : Samapriya Roy Keywords: GLC_FCS30D, 1985-2022, Land-cover change, Landsat, change detection, Google Earth Engine Last updated in GEE: 2024-02-20
Created by: Zhang et al. 2023 Curated in GEE by : Samapriya Roy Keywords: GLC_FCS30D, 1985-2022, Land-cover change, Landsat, change detection, Google Earth Engine Last updated in GEE: 2024-02-20
Keywords: GLC_FCS30D, 1985-2022, Land-cover change, Landsat, change detection, Google Earth Engine Last updated in GEE: 2024-02-20
(GEE) [5]. Similarly, Gong et al. (2013) produced the Finer Resolution Observation and Monitoring of Global Land Cover (FROM_GLC) product using the Landsat thematic mapper (TM) and enhanced thematic mapper Plus (ETM+) data [6]. The United States Geological Survey (USGS) collaborated with...