Google Earth Engine ——高级星载热辐射和反射辐射计全球发射率数据库（ASTER-GED）地表温度数据集

The Advanced Spaceborne Thermal Emission and Reflection Radiometer Global Emissivity Database (ASTER-GED) was developed by the National Aeronautics and Space Administration's (NASA) Jet Propulsion Laboratory (JPL), California Institute of Technology. This product includes the mean emissivity and standard deviation for all 5 ASTER Thermal Infrared bands, mean land surface temperature (LST) and standard deviation, a re-sampled ASTER GDEM, land-water mask, mean Normalized Difference Vegetation Index (NDVI) and standard deviation, and observation count.

ASTER-GED land surface temperature and emissivity (LST&E) are generated using the ASTER Temperature Emissivity Separation (TES) algorithm in combination with a Water Vapor Scaling (WVS) atmospheric correction method using MODIS MOD07 atmospheric profiles and the MODTRAN 5.2 radiative transfer model.

This product was derived from clear-sky pixels for all available ASTER data (2000-2008).

[User's Guide] (https://lpdaac.usgs.gov/documents/120/ASTERGED_User_Guide_V3.pdf)

高级星载热辐射和反射辐射计全球发射率数据库（ASTER-GED）是由美国国家航空航天局（NASA）加州理工学院喷气推进实验室（JPL）开发。该产品包括所有5个ASTER热红外波段的平均发射率和标准差，平均陆地表面温度（LST）和标准差，重新采样的ASTER GDEM，陆地-水掩码，平均归一化植被指数（NDVI）和标准差，以及观测次数。

ASTER-GED地表温度和发射率（LST&E）是使用ASTER温度发射率分离（TES）算法，结合水汽缩放（WVS）大气校正方法，使用MODIS MOD07大气剖面和MODTRAN 5.2辐射传输模型生成。

这个产品是由所有可用的ASTER数据（2000-2008）的晴空像素得出的。

[用户指南] (https://lpdaac.usgs.gov/documents/120/ASTERGED_User_Guide_V3.pdf)

Dataset Availability

2000-01-01T00:00:00 - 2008-12-31T00:00:00

Dataset Provider

NASA LP DAAC at the USGS EROS Center

Collection Snippet

ee.Image("NASA/ASTER_GED/AG100_003")

Resolution

100 meters

Bands Table

* = Values are estimated

Class Table: land_water_map

使用说明：

ASTER data and products distributed by the LP DAAC, with the exception of the ASTER Global Digital Elevation Model (GDEM) dataset (ASTGTM) version 2 (v2), have no restrictions on data use, sale, or subsequent redistribution. For more information visit the [ASTER Policies] (LP DAAC - Data Citation and Policies) site.

引用：

Please visit LP DAAC 'Citing Our Data' page for information on citing LP DAAC datasets.https://doi.org/10.5067/COMMUNITY/ASTER_GED/AG100.003

代码：

  

   

    

     

    
    

     

      var dataset = ee.Image('NASA/ASTER_GED/AG100_003');
     
    
   

    

     

    
    

     

      var elevation = dataset.select('elevation');
     
    
   

    

     

    
    

     

      var elevationVis = {
     
    
   

    

     

    
    

     
  min: -15.0,
     
    
   

    

     

    
    

     
  max: 5000.0,
     
    
   

    

     

    
    

     
  palette: [
     
    
   

    

     

    
    

     
    '0602ff', '235cb1', '307ef3', '269db1', '30c8e2', '32d3ef', '3ae237',
     
    
   

    

     

    
    

     
    'b5e22e', 'd6e21f', 'fff705', 'ffd611', 'ffb613', 'ff8b13', 'ff6e08',
     
    
   

    

     

    
    

     
    'ff500d', 'ff0000', 'de0101', 'c21301'
     
    
   

    

     

    
    

     

        ],
     
    
   

    

     

    
    

     

      };
     
    
   

    

     

    
    

     

      Map.setCenter(89.12, 37.72, 3);
     
    
   

    

     

    
    

     

      Map.addLayer(elevation, elevationVis, 'Elevation');
     
    
  
 

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/120485943