- Dataset Availability
- 2018-07-09T00:00:00Z–2026-03-30T18:08:23Z
- Dataset Producer
- Land Processes Distributed Active Archive Center
- Cadence
- 1 Day
- Tags
Description
The ECOSTRESS Land Surface Temperature and Emissivity (ECO_L2T_LSTE) V002 dataset provides Land Surface Temperature (LST), LST error, Quality Control flags, Broadband Emissivity, cloud mask, surface height, water mask, and view zenith angle data at a 70m spatial resolution. This product is derived from ECOSTRESS observations and is essential for understanding surface energy balance and water stress.
NOTE: Currently, only tiles covering the Los Angeles metro area have been ingested into Earth Engine. We plan to expand coverage in the future.
Documentation:
Bands
Bands
Pixel size: 70 meters (all bands)
| Name | Units | Pixel Size | Description | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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LST |
K | 70 meters | Land Surface Temperature |
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LST_err |
K | 70 meters | Land Surface Temperature error |
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QC |
70 meters | Quality Control flags for LST and emissivity |
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EmisWB |
70 meters | Wide band Emissivity |
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cloud |
70 meters | Cloud mask |
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height |
m | 70 meters | Surface elevation of observation" |
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water |
70 meters | Water mask |
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view_zenith |
deg | 70 meters | View Zenith Angle |
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Terms of Use
Terms of Use
LP DAAC NASA data are freely accessible; however, when an author publishes these data or works based on the data, it is requested that the author cite the datasets within the text of the publication and include a reference to them in the reference list.
Citations
Hook, Simon, et al. ECOSTRESS Land Surface Temperature and Emissivity L2 Global 70 m v002. NASA Land Processes Distributed Active Archive Center, 2023, doi:10.5067/ECOSTRESS/ECO_L2T_LSTE.002
DOIs
Explore with Earth Engine
Code Editor (JavaScript)
var image_collection = ee.ImageCollection('NASA/ECOSTRESS/L2T_LSTE/V2') .filter(ee.Filter.date('2025-03-01', '2025-05-01')); Map.setCenter(-118.2437, 34.0522, 10); var lst = image_collection.select('LST').mean(); var lstVis = { min: 285, max: 305, palette: ['blue', 'cyan', 'green', 'yellow', 'orange', 'red'], }; Map.addLayer(lst, lstVis, 'LST'); var lstErr = image_collection.select('LST_err'); var lstErrVis = { min: 2.8399999141693115, max: 3.200000047683716, palette: ['green', 'yellow', 'red'], }; Map.addLayer(lstErr, lstErrVis, 'LST_err'); var qc = image_collection.select('QC'); var qcVis = { min: 0, max: 2497, palette: ['black', 'purple', 'white'], }; Map.addLayer(qc, qcVis, 'QC'); var emisWB = image_collection.select('EmisWB'); var emisWBVis = { min: 0.8859999775886536, max: 0.9459999799728394, palette: ['blue', 'cyan', 'green'], }; Map.addLayer(emisWB, emisWBVis, 'EmisWB'); var cloud = image_collection.select('cloud'); var cloudVis = { min: 0, max: 1, palette: ['red', 'white'], }; Map.addLayer(cloud, cloudVis, 'cloud'); var height = image_collection.select('height'); var heightVis = { min: 46.57216262817383, max: 47.15089416503906, palette: ['brown', 'grey', 'white'], }; Map.addLayer(height, heightVis, 'height'); var water = image_collection.select('water'); var waterVis = { min: 0, max: 1, palette: ['red', 'blue'], }; Map.addLayer(water, waterVis, 'water'); var viewZenith = image_collection.select('view_zenith'); var viewZenithVis = { min: 27.346546173095703, max: 28.611562728881836, palette: ['yellow', 'orange', 'red'], }; Map.addLayer(viewZenith, viewZenithVis, 'view_zenith');