Google Earth Engine——全球地表温度夜间产品的基础数据集是MODIS陆地表面温度数据（MOD11A2）

The underlying dataset for this daytime product is MODIS land surface temperature data (MOD11A2), which was gap-filled using the approach outlined in Weiss et al. (2014) to eliminate missing data caused by factors such as cloud cover. Gap-free outputs were then aggregated temporally and spatially to produce the monthly ≈5km product.

This dataset was produced by Harry Gibson and Daniel Weiss of the Malaria Atlas Project (Big Data Institute, University of Oxford, United Kingdom, [http://www.map.ox.ac.uk/] (http://www.map.ox.ac.uk/)).

该日间产品的基础数据集是MODIS陆地表面温度数据（MOD11A2），采用Weiss等人（2014）所述的方法填补缺口，以消除由云层等因素造成的数据缺失。然后将无间隙输出在时间和空间上进行汇总，以产生每月≈5公里的产品。

该数据集由Malaria Atlas项目的Harry Gibson和Daniel Weiss制作（英国牛津大学大数据研究所，[http://www.map.ox.ac.uk/] （http://www.map.ox.ac.uk/））。

Dataset Availability

2001-03-01T00:00:00 - 2015-06-01T00:00:00

Dataset Provider

Oxford Malaria Atlas Project

Collection Snippet

ee.ImageCollection("Oxford/MAP/LST_Night_5km_Monthly")

Resolution

5000 meters

Bands Table

* = Values are estimated

引用：

Weiss, D.J., P.M. Atkinson, S. Bhatt, B. Mappin, S.I. Hay & P.W. Gething (2014) An effective approach for gap-filling continental scale remotely sensed time-series. ISPRS Journal of Photogrammetry and Remote Sensing, 98, 106-118.

代码：

  

   

    

     

    
    

     

      var dataset = ee.ImageCollection('Oxford/MAP/LST_Night_5km_Monthly')
     
    
   

    

     

    
    

     

                        .filter(ee.Filter.date('2015-01-01', '2015-12-31'));
     
    
   

    

     

    
    

     

      var nighttimeLandSurfaceTemp = dataset.select('Mean');
     
    
   

    

     

    
    

     

      var visParams = {
     
    
   

    

     

    
    

     
  min: -30.0,
     
    
   

    

     

    
    

     
  max: 30.0,
     
    
   

    

     

    
    

     
  palette: [
     
    
   

    

     

    
    

     
    '800080', '0000ab', '0000ff', '008000', '19ff2b', 'a8f7ff', 'ffff00',
     
    
   

    

     

    
    

     
    'd6d600', 'ffa500', 'ff6b01', 'ff0000'
     
    
   

    

     

    
    

     

        ],
     
    
   

    

     

    
    

     

      };
     
    
   

    

     

    
    

     

      Map.setCenter(-88.6, 26.4, 1);
     
    
   

    

     

    
    

     

      Map.addLayer(
     
    
   

    

     

    
    

     

          nighttimeLandSurfaceTemp, visParams, 'Nighttime Land Surface Temperature');
     
    
  
 

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/120602544