Algorithm Theoretic Basis Documents, Product Specification Documents & User Guides
Up-to-date information is posted on the LP DAAC product pages. Please click the link for documentation, including algorithm theoretical basis documents (ATBD), product specification documents (PSD), and user guides. Also pay attention to “Known issues” listed near the bottom of the page.
Some products are available in multiple formats. For instance, L2_LSTE is land surface temperature and emissivity in swath format, distributed as HDF5 (to be used with L1B_GEO); L2G_LSTE is land surface temperature and emissivity that has been projected onto a 70 m grid, distributed as HDF5; and L2T_LSTE is land surface temperature and emissivity that has been gridded and tiled into smaller chunks (~100 km x 100 km following the Sentinel tiling boundaries) and distributed as GeoTIFF.
Summary Table
|
Level |
Name |
Version |
Description |
Link |
|---|---|---|---|---|
|
L1B |
RAD |
2/3 |
Radiance - Calibrated at-sensor thermal infrared radiances reconstructed from raw telemetry for all active ECOSTRESS spectral channels. |
|
|
L1B |
GEO |
2/3 |
Geolocation - Pixel-level geolocation coordinates, solar/viewing geometry angles, and terrain elevation corresponding to ECOSTRESS scenes. |
|
|
L1B |
ATT |
2/3 |
Spacecraft attitude quaternions, orbit ephemeris vectors, and ISS pointing geometry data used to initiate the geolocation process. |
|
|
L2 |
LST&E |
2/3 |
Land Surface Temperature (LST) and surface emissivity (E) across 5 spectral bands, retrieved via the Temperature-Emissivity Separation (TES) algorithm. |
|
|
L2 |
CLOUD |
2/3 |
Cloud Mask - Pixel-level cloud mask and surface classification flags identifying cloud contamination, water bodies, and clear-sky confidence. |
|
|
L2 |
STARS |
2/3 |
Normalized Difference Vegetation Index (NDVI) and Albedo produced from a data fusion algorithm using VIIRS and Harmonized Landsat Sentinel (HLS). These are used as an input into ET algorithms. |
|
|
L3 |
MET |
2 |
Meteorological data from GEOS-5 reanalysis (near-surface air temperature and relative humidity) resampled to ECOSTRESS resolution. These are used as an input into ET algorithms. In Collection 3, this is provided as a layer in ETAUX |
|
|
L3 |
SM |
2 |
Soil moisture from GEOS-5 reanalysis resampled to ECOSTRESS resolution. These are used as an input into ET algorithms. In Collection 3, this is provided as a layer in ETAUX |
|
|
L3 |
SEB |
2 |
Surface energy balance variables that are computed within the JET algorithm. Incoming surface radiation and and net radiation are used as an input into evapotranspiration models. In Collection 3, this is provided as a layer in ETAUX |
|
|
L3 |
ETAUX |
3 |
Consolidated auxiliary environmental driving fields (downscaled near-surface air temperature, relative humidity, soil moisture, and net radiation) bundled into a single tiled product to drive L3/L4 ET models. (Replaces V2 separate MET, SM, and SEB files). |
|
|
L3 |
JET |
2/3 |
JPL Evapotranspiration (ET) ensemble generated from a multi-model framework combining PT-JPL-SM, STIC, BESS, and MOD16 models. |
|
|
L3 |
ET_ALEXI |
2 |
High-resolution daily Evapotranspiration (ET) over CONUS, generated by disaggregating coarse ALEXI thermal modeling using the DisALEXI algorithm and ECOSTRESS LST. |
|
|
L4 |
ESI_ALEXI |
2 |
Regional Evaporative Stress Index over CONUS, calculated as the ratio of DisALEXI ET to potential reference ET. |
|
|
L4 |
Evaporative Stress Index (ESI) |
2/3 |
Global Evaporative Stress Index, calculated as the ratio of actual PT-JPL-SM ET to potential reference ET. |
|
|
L4 |
Water Use Efficiency |
2/3 |
Water Use Efficiency, calculated as the ratio of Gross Primary Productivity to Evapotranspiration (GPP / ET). |