defined as a stand-replacement disturbance, or a change from a forest to non-forest state. Encoded as either 0 (no loss) or else a value in the range 1–20, representing loss detected primarily in the year 2001–2020, respectively.020 ...
“High-Resolution Global Maps of 21st-Century Forest Cover Change.” Science 342 (15 November): 850–53. Data available on-line at:Global Forest Change. 代码: vardataset=ee.Image('UMD/hansen/global_forest_change_2020_v1_8');vartreeCoverVisParam={bands:['treecover2000'],min:0,max:100,...
最新的版本,即1.9版(用到2021年的数据制作),可在UMD/hansen/global_forest_change_2021_v1_9获得。 This dataset has been superseded by UMD/hansen/global_forest_change_2021_v1_9 Dataset Availability 2000-01-01T00:00:00 - 2020-01-01T00:00:00 Dataset Provider Hansen/UMD/...
“High-Resolution Global Maps of 21st-Century Forest Cover Change.” Science 342 (15 November): 850–53. Data available on-line at:Global Forest Change. 代码: 代码语言:javascript 复制 vardataset=ee.Image('UMD/hansen/global_forest_change_2020_v1_8');vartreeCoverVisParam={bands:['treecover2...
Hansen Global Forest Change v1.11 (2000-2023) 对大地遥感卫星图像进行时间序列分析以确定全球森林范围和变化特征的结果。 第一个 "和 "最后一个 "波段是大地遥感卫星光谱波段(红、近红外、SWIR1 和 SWIR2)的第一个和最后一个可用年份的参考多光谱图像。参考复合图像代表了这些波段中每个波段的生长季节质量评估...
ForestLandsatGlobalSamplingThe Global Land Cover Facility (GLCF) global forest-cover and -change dataset is a multi-temporal depiction of long-term (multi-decadal), global forest dynamics at high (30-m) resolution. Based on per-pixel estimates of percentage tree cover and their associated ...
Thegfcanalysispackage facilitates analyses of forest change using theGlobal Forest Changedataset released by Hansen et al. 2013, and subsequent versions of that data. The package was originally designed to support the work of theTropical Ecology Assessment & Monitoring (TEAM) Network. ...
The GLCF global forest-cover and -change dataset is a multi-temporal depiction of long-term (multi-decadal), global forest dynamics at high (i.e., 30-m) resolution, or pixel-size. Based on per-pixel estimates of tree cover and their associated uncertainty (Sexton, J. O., et al., 20...
A comprehensive quantification of global forest fragmentation is urgently required to guide forest protection, restoration and reforestation policies. Previous efforts focused on the static distribution patterns of forest remnants, potentially neglecting
The CGMFC-21 is derived from two robust and tested datasets, Hansen et al.’s Global Forest Change dataset42 and Giri et al.’s Global Distribution of Mangroves dataset43. Giri et al.’s dataset was an extremely important dataset for mangrove studies historically44 and has been used ...