Google Earth Engine——全球地表溫度日間産品的基礎資料集是MODIS陸地表面溫度資料（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/​​)).

該日間産品的基礎資料集是MODIS陸地表面溫度資料（MOD11A2），采用Weiss等人（2014）所述的方法填補缺口，以消除由雲層等因素造成的資料缺失。然後将無間隙輸出在時間和空間上進行彙總，以産生每月≈5公裡的産品。

該資料集由Malaria Atlas項目的Harry Gibson和Daniel Weiss制作（英國牛津大學大資料研究所，[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

Name	Description	Min*	Max*	Units
Mean	The mean value of daytime land surface temperature for each aggregated pixel.	-74.03	63.87	°C
FilledProportion	A quality control band that indicates the percentage of each resulting pixel that was comprised of raw data (as opposed to gap-filled estimates).	100	%

* = 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.

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');