ECOSTRESS Tiled Ancillary NDVI and Albedo L2 Global 70 m V002

NASA/ECOSTRESS/L2T_STARS/V2
Dataset Availability
2018-07-09T00:00:00Z–2025-04-10T00:00:00Z
Dataset Provider
Earth Engine Snippet
ee.ImageCollection("NASA/ECOSTRESS/L2T_STARS/V2")
Cadence
1 Day
Tags
albedo land ndvi plant-productivity
ecostress

Description

The ECOSTRESS Tiled Ancillary NDVI and Albedo (ECO_L2T_STARS) V002 dataset provides Normalized Difference Vegetation Index (NDVI) and albedo data at a 70m spatial resolution. This ancillary product, essential for understanding plant water needs and stress, is created through a data fusion process that combines Visible Infrared Imaging Radiometer Suite (VIIRS) and Harmonized Landsat Sentinel (HLS) data. The fusion is performed using the STARS algorithm, a Bayesian timeseries methodology, to align the data with daytime ECOSTRESS overpasses. This product is only generated for corresponding ECOSTRESS Land Surface Temperature and Emissivity tiles.

Documentation:

Bands

Pixel Size
70 meters

Bands

Name Pixel Size Description
NDVI meters

Normalized Difference Vegetation Index (NDVI)

NDVI-UQ meters

Normalized Difference Vegetation Index (NDVI) uncertainty.

albedo meters

Albedo

albedo-UQ meters

Albedo uncertainty.

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

Citations:
  • Hook, Simon, et al. ECOSTRESS Tiled Ancillary NDVI and Albedo L2 Global 70 m v002. NASA Land Processes Distributed Active Archive Center, 2023, doi:10.5067/ECOSTRESS/ECO_L2T_STARS.002

DOIs

Explore with Earth Engine

Code Editor (JavaScript)

var dataset = ee.ImageCollection('NASA/ECOSTRESS/L2T_STARS/V2')
                  .filter(ee.Filter.date('2025-03-01', '2025-05-01'));
var NDVI = dataset.select('NDVI').mean();

var vis = {
  min: -1.0,
  max: 1.0,
  palette: ['00008B', 'A9A9A9', 'CD853F', 'FFFF00', '90EE90', '006400'],
};

Map.setCenter(-77.1056, 38.8904, 10);
Map.addLayer(NDVI, vis, 'NDVI');
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