Google Earth Engine——全球地表温度日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_Day_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_Day_5km_Monthly')
                  .filter(ee.Filter.date('2015-01-01', '2015-12-31'));
var daytimeLandSurfaceTemp = dataset.select('Mean');
var visParams = {
  min: -20.0,
  max: 50.0,
  palette: [
    '800080', '0000ab', '0000ff', '008000', '19ff2b', 'a8f7ff', 'ffff00',
    'd6d600', 'ffa500', 'ff6b01', 'ff0000'
  ],
};
Map.setCenter(-88.6, 26.4, 1);
Map.addLayer(
    daytimeLandSurfaceTemp, visParams, 'Daytime Land Surface Temperature');