![MODIS/061/MOD16A2GF](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD16A2GF_sample.png?authuser=6)
- Dataset Availability
- 2000-01-01T00:00:00Z–2023-12-27T00:00:00Z
- Dataset Provider
- NASA LP DAAC at the USGS EROS Center
- Earth Engine Snippet
-
ee.ImageCollection("MODIS/061/MOD16A2GF")
- Tags
Description
The Terra Moderate Resolution Imaging Spectroradiometer (MODIS) MOD16A2GF Version 6.1 Evapotranspiration/Latent Heat Flux (ET/LE) product is a year-end gap-filled 8-day composite dataset produced at 500 meter (m) pixel resolution. The algorithm used for the MOD16 data product collection is based on the logic of the Penman-Monteith equation, which includes inputs of daily meteorological reanalysis data along with MODIS remotely sensed data products such as vegetation property dynamics, albedo, and land cover.
The pixel values for the two Evapotranspiration layers (ET and PET) are the sum of all eight days within the composite period, and the pixel values for the two Latent Heat layers (LE and PLE) are the average of all eight days within the composite period. The last acquisition period of each year is a 5 or 6-day composite period, depending on the year.
Documentation:
Bands
Resolution
500 meters
Bands
Name | Units | Min | Max | Scale | Description | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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ET |
kg/m^2/8day | -32767 | 32700 | 0.1 | Total evapotranspiration |
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LE |
J/m^2/day | -32767 | 32700 | 10000 | Average latent heat flux |
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PET |
kg/m^2/8day | -32767 | 32700 | 0.1 | Total potential evapotranspiration |
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PLE |
J/m^2/day | -32767 | 32700 | 10000 | Average potential latent heat flux |
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ET_QC |
Evapotranspiration quality control flags |
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Terms of Use
Terms of Use
MODIS data and products acquired through the LP DAAC have no restrictions on subsequent use, sale, or redistribution.
Citations
Please visit LP DAAC 'Citing Our Data' page for information on citing LP DAAC datasets.
DOIs
Explore with Earth Engine
Code Editor (JavaScript)
var dataset = ee.ImageCollection('MODIS/061/MOD16A2GF') .filter(ee.Filter.date('2022-01-01', '2022-05-01')); var evapotranspiration = dataset.select('ET'); var evapotranspirationVis = { min: 0, max: 300, palette: [ 'ffffff', 'fcd163', '99b718', '66a000', '3e8601', '207401', '056201', '004c00', '011301' ], }; Map.setCenter(0, 0, 2); Map.addLayer(evapotranspiration, evapotranspirationVis, 'Evapotranspiration');