LST Day: Malaria Atlas Project Gap-Filled Daytime Land Surface Temperature (8-Daily 1km)

  • This dataset, part of the Malaria Atlas Project Catalog, provides 8-daily gap-filled daytime land surface temperature data derived from MODIS products.

  • The data is available from March 1, 2001, to December 26, 2024, with a pixel size of 5000 meters.

  • The dataset includes a Mean band representing the mean daytime land surface temperature in degrees Celsius, with estimated values ranging from -74.03 to 63.87.

  • Usage of the dataset is governed by the CC-BY-NC-SA-4.0 license.

  • The data can be accessed and explored using the Google Earth Engine platform, with provided sample code for JavaScript.
projects/malariaatlasproject/assets/LST_Day_v061/1km/8-Daily
info

This dataset is part of a Publisher Catalog, and not managed by Google Earth Engine. Contact The Malaria Atlas Project for bugs or view more datasets from the The Malaria Atlas Project Catalog. Learn more about Publisher datasets.

Catalog Owner
The Malaria Atlas Project
Dataset Availability
2001-03-01T00:00:00Z–2024-12-26T00:00:00Z
Dataset Provider
Contact
The Malaria Atlas Project
Earth Engine Snippet
ee.ImageCollection("projects/malariaatlasproject/assets/LST_Day_v061/1km/8-Daily")
Cadence
8 Days
Tags
climate lst malariaatlasproject map publisher-dataset surface-temperature

Description

Daytime Land Surface Temperature (LST) are derived from the ~1km MODIS MOD11A2 v6.1 products. The 8-daily composites are converted to degrees Celsius and then gap-filled using the approach outlined in Weiss et al (2014) to eliminate missing data caused by factors such as cloud cover. After gap-filling the data was clipped to thresholds of [-100, 100] to ensure valid values.

The gap-filled 8-daily ~1km outputs are then aggregated temporally to produce monthly and annual products.

Bands

Pixel Size
5000 meters

Bands

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

The mean value of daytime land surface temperature for each aggregated pixel.
* 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. doi:10.1016/j.isprsjprs.2014.10.001

Explore with Earth Engine

Code Editor (JavaScript)

var dataset = ee.ImageCollection('projects/malariaatlasproject/assets/LST_Day_v061/1km/8-Daily')
                  .filter(ee.Filter.date('2022-01-01', '2022-04-01'));
var means = 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(0, 0, 2);
Map.addLayer(means, visParams, '8-Daily LST Day: Malaria Atlas Project Gap-Filled Daytime Land Surface Temperature');
Open in Code Editor
Daytime Land Surface Temperature (LST) are derived from the ~1km MODIS MOD11A2 v6.1 products. The 8-daily composites are converted to degrees Celsius and then gap-filled using the approach outlined in Weiss et al (2014) to eliminate missing data caused by factors such as cloud cover. After gap-filling the data was …
projects/malariaatlasproject/assets/LST_Day_v061/1km/8-Daily, climate,lst,malariaatlasproject,map,publisher-dataset,surface-temperature
2001-03-01T00:00:00Z/2024-12-26T00:00:00Z
-90 -180 90 180
Google Earth Engine