Google Earth Engine ——数据全解析专辑（ASTER L1T Radiance）

The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) is a multispectral imager that was launched on board NASA's Terra spacecraft in December, 1999. ASTER can collect data in 14 spectral bands from the visible to the thermal infrared. Each scene covers an area of 60 x 60 km. These scenes, produced by the USGS, contain calibrated at-sensor radiance, ortho-rectified and terrain corrected.

Not all 14 bands were collected in each scene. An asset property named ORIGINAL_BANDS_PRESENT contains the list of bands that are present in each scene.

To convert from Digital Numbers (DN) to radiance at the sensor, the unit conversion coefficients are available in the metadata. See ASTER L1T Product Users' Guide and ASTER L1T Product Specification for more information.

先进的星载热发射和反射辐射计 (ASTER) 是一种多光谱成像仪，于 1999 年 12 月在 NASA 的 Terra 航天器上发射。ASTER 可以收集从可见光到热红外的 14 个光谱波段的数据。每个场景的面积为 60 x 60 公里。这些场景由 USGS 制作，包含校准的传感器辐射、正射校正和地形校正。

并非每个场景中都收集了所有 14 个波段。名为 ORIGINAL_BANDS_PRESENT 的资产属性包含每个场景中存在的波段列表。

为了在传感器处从数字数 (DN) 转换为辐射，元数据中提供了单位转换系数。有关更多信息，请参阅 ASTER L1T 产品用户指南和 ASTER L1T 产品规格。

文档：

算法理论基础文件 (ATBD)

用户指导

ASTER Level-1T 产品规格

[ASTER L1T 快速参考指南](ASTER L1T 快速参考指南)](https://lpdaac.usgs.gov/documents/174/AST_L1T_Quick_Reference_Guide.pdf)

Documentation:

• Algorithm Theoretical Basis Document (ATBD)

• User's Guide

• ASTER Level-1T Product Specification

• [ASTER L1T Quick Reference Guide](ASTER L1T Quick Reference Guide)](https://lpdaac.usgs.gov/documents/174/AST_L1T_Quick_Reference_Guide.pdf)

Dataset Availability

2000-03-04T00:00:00 - 2021-08-31T00:00:00

Dataset Provider

NASA LP DAAC at the USGS EROS Center

Collection Snippet

ee.ImageCollection("ASTER/AST_L1T_003")

Bands Table

影像属性：

 代码：

  

   

    

     

    
    

     

      var dataset = ee.ImageCollection('ASTER/AST_L1T_003')
     
    
   

    

     

    
    

     

                        .filter(ee.Filter.date('2018-01-01', '2018-08-15'));
     
    
   

    

     

    
    

     

      var falseColor = dataset.select(['B3N', 'B02', 'B01']);
     
    
   

    

     

    
    

     

      var falseColorVis = {
     
    
   

    

     

    
    

     
  min: 0.0,
     
    
   

    

     

    
    

     
  max: 255.0,
     
    
   

    

     

    
    

     

      };
     
    
   

    

     

    
    

     

      Map.setCenter(-122.0272, 39.6734, 11);
     
    
   

    

     

    
    

     

      Map.addLayer(falseColor.median(), falseColorVis, 'False Color');
     
    
  
 

 这个影像是覆盖全球的！

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/120115798