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

  • This dataset, which provides monthly daytime land surface temperature data at approximately 5km resolution, has been superseded by a newer version.

  • The dataset covers the period from March 2001 to June 2015 and was produced by the Oxford Malaria Atlas Project.

  • It is derived from MODIS land surface temperature data that has been gap-filled to account for missing information like cloud cover.

  • The dataset includes bands for the mean temperature in °C and the proportion of the pixel that is comprised of raw data.
Oxford/MAP/LST_Day_5km_Monthly
Dataset Availability
2001-03-01T00:00:00Z–2015-06-01T00:00:00Z
Dataset Provider
Earth Engine Snippet
ee.ImageCollection("Oxford/MAP/LST_Day_5km_Monthly")
Cadence
1 Month
Tags
climate
lst
map
oxford
surface-temperature

Description

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, https://malariaatlas.org/).

Bands

Pixel Size
5000 meters

Bands

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

The mean value of daytime land surface temperature for each aggregated pixel.
FilledProportion % 0* 100* meters

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

CC-BY-NC-SA-4.0

Citations

Citations:

  • 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 with Earth Engine

Code Editor (JavaScript)

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');
Open in Code Editor
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 …
Oxford/MAP/LST_Day_5km_Monthly, climate,lst,map,oxford,surface-temperature
2001-03-01T00:00:00Z/2015-06-01T00:00:00Z
-90 -180 90 180
Google Earth Engine