Oxford MAP LST: Malaria Atlas Project Gap-Filled Daytime Land Surface Temperature

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lst map oxford surface-temperature


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/).


5000 meters


Name Units Min Max Description
Mean °C -74.03* 63.87*

The mean value of daytime land surface temperature for each aggregated pixel.

FilledProportion % 0* 100*

A quality control band that indicates the percentage of each resulting pixel that was comprised of raw data (as opposed to gap-filled estimates).

* estimated min or max value

Terms of Use

Terms of Use

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.


  • 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.

Explore in Earth Engine

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);
    daytimeLandSurfaceTemp, visParams, 'Daytime Land Surface Temperature');