Google Earth Engine——Landsat图像在描述全球森林范围和变化方面的时间序列分析结果（2013年）

Results from time-series analysis of Landsat images in characterizing global forest extent and change.

The 'first' and 'last' bands are reference multispectral imagery from the first and last available years for Landsat spectral bands 3, 4, 5, and 7. Reference composite imagery represents median observations from a set of quality-assessed growing-season observations for each of these bands.

Please see the User Notes for this Version 1.0, as well as the associated journal article: Hansen, Potapov, Moore, Hancher et al. “High-resolution global maps of 21st-century forest cover change.” Science 342.6160 (2013): 850-853.

Note that updated versions of this data are available. The newest version, Version 1.8 (produced with data through 2020), is available as UMD/hansen/global_forest_change_2020_v1_8.

Landsat图像在描述全球森林范围和变化方面的时间序列分析结果。

第一个 "和 "最后一个 "波段是Landsat光谱波段3、4、5和7的第一个和最后一个可用年份的参考多光谱图像。参考综合图像代表了这些波段中每个波段的一组质量评估过的生长季节观测值的中位数。

请参见该1.0版的用户说明以及相关的期刊文章。Hansen, Potapov, Moore, Hancher等人，"21世纪森林覆盖变化的高分辨率全球地图"。科学》342.6160（2013）：850-853。

请注意，该数据的更新版本是可用的。最新的版本是1.8版（用到2020年的数据制作），可在UMD/hansen/global_forest_change_2020_v1_8中找到。

Dataset Availability

2000-01-01T00:00:00 - 2013-01-01T00:00:00

Dataset Provider

Hansen/UMD/Google/USGS/NASA

Collection Snippet

Copied

ee.Image("UMD/hansen/global_forest_change_2013")

Resolution

30.92 meters

Bands Table

引用：

Hansen, M. C., P. V. Potapov, R. Moore, M. Hancher, S. A. Turubanova, A. Tyukavina, D. Thau, S. V. Stehman, S. J. Goetz, T. R. Loveland, A. Kommareddy, A. Egorov, L. Chini, C. O. Justice, and J. R. G. Townshend.

1. “High-Resolution Global Maps of 21st-Century Forest Cover Change.” Science 342 (15 November): 850–53. Data available on-line at: https://earthenginepartners.appspot.com/science-2013-global-forest.

代码： 

  

   

    

     

    
    

     

      var dataset = ee.Image("UMD/hansen/global_forest_change_2013");
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

      var visualization = {
     
    
   

    

     

    
    

     
  bands: ['treecover2000'],
     
    
   

    

     

    
    

     
  min: 0.0,
     
    
   

    

     

    
    

     
  max: 100.0,
     
    
   

    

     

    
    

     
  palette: [
     
    
   

    

     

    
    

     
    "3d3d3d","080a02","080a02","080a02","106e12","37a930",
     
    
   

    

     

    
    

     
    "03ff17",
     
    
   

    

     

    
    

     

        ]
     
    
   

    

     

    
    

     

      };
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

      Map.setCenter(-60.5, -20.0, 2);
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

      Map.addLayer(dataset, visualization, "Tree Canopy Cover");
     
    
  
 

文章来源: blog.csdn.net，作者：此星光明2021年博客之星云计算Top3，版权归原作者所有，如需转载，请联系作者。

原文链接：blog.csdn.net/qq_31988139/article/details/120647239