ECO_L2_LSTE v002

ECOSTRESS Swath Land Surface Temperature and Emissivity Instantaneous L2 Global 70 m


PI: Simon Hook, Glynn Hulley

Description

The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52° N and 52° S latitudes. A map of the acquisition coverage can be found in figure 2 on the ECOSTRESS website.

The ECOSTRESS Swath Land Surface Temperature and Emissivity Instantaneous L2 Global 70 m (ECO_L2_LSTE) Version 2 data product provides atmospherically corrected land surface temperature and emissivity (LST&E) values derived from five thermal infrared (TIR) bands. The ECO_L2_LSTE data product was derived using a physics-based Temperature and Emissivity Separation (TES) algorithm. The ECO_L2_LSTE is provided as swath data and has a spatial resolution of 70 meters (m). The corresponding ECO_L1B_GEO data product is required to georeference the ECO_L2_LSTE data product.

The ECO_L2_LSTE Version 2 data product contains layers of LST, emissivity for bands 1 through 5, quality control for LST&E, LST error, emissivity error for bands 1 through 5, wideband emissivity, Precipitable Water Vapor (PWV), cloud mask, and water mask.

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Characteristics

Improvements/Changes from Previous Versions

  • Addition of cloud mask and water mask layers.
  • Addition of ECOSTRESS Gridded Land Surface Temperature and Emissivity Instantaneous L2 Global 70 m v002 (ECO_L2G_LSTE.002) and ECOSTRESS Tiled Land Surface Temperature and Emissivity Instantaneous L2 Global 70 m v002 (ECO_L2T_LSTE.002) data products.

Collection and Granule

Collection

Characteristic Description
CollectionECOSTRESS
DOI10.5067/ECOSTRESS/ECO_L2_LSTE.002
File Size~150 MB
Temporal ResolutionVaries
Temporal Extent2018-07-09 to Present
Spatial ExtentGlobal (+/- 52 degrees latitude)
Coordinate SystemN/A
DatumN/A
File FormatHDF5
Geographic Dimensions400 km x 400 km

Granule

Characteristic Description
Number of Science Dataset (SDS) Layers17
Columns/Rows5400 x 5632
Pixel Size70 m

Layers / Variables

SDS Name Description Units Data Type Fill Value No Data Value Valid Range Scale Factor Offset
LST Land Surface Temperature Kelvin 16-bit unsigned integer N/A N/A 7500 to 65535 0.02 N/A
QC Quality Control for LST and emissivity N/A 16-bit unsigned integer N/A N/A 0 to 65535 N/A N/A
Emis1 Band 1 Emissivity N/A 8-bit unsigned integer N/A N/A 1 to 255 0.002 0.49
Emis2 Band 2 Emissivity N/A 8-bit unsigned integer N/A N/A 1 to 255 0.002 0.49
Emis3 Band 3 Emissivity N/A 8-bit unsigned integer N/A N/A 1 to 255 0.002 0.49
Emis4 Band 4 Emissivity N/A 8-bit unsigned integer N/A N/A 1 to 255 0.002 0.49
Emis5 Band 5 Emissivity N/A 8-bit unsigned integer N/A N/A 1 to 255 0.002 0.49
LST_err Land Surface Temperature error Kelvin 8-bit unsigned integer N/A N/A 1 to 255 0.04 N/A
Emis1_err Band 1 Emissivity error N/A 16-bit unsigned integer N/A N/A 1 to 65535 0.0001 N/A
Emis2_err Band 2 Emissivity error N/A 16-bit unsigned integer N/A N/A 1 to 65535 0.0001 N/A
Emis3_err Band 3 Emissivity error N/A 16-bit unsigned integer N/A N/A 1 to 65535 0.0001 N/A
Emis4_err Band 4 Emissivity error N/A 16-bit unsigned integer N/A N/A 1 to 65535 0.0001 N/A
Emis5_err Band 5 Emissivity error N/A 16-bit unsigned integer N/A N/A 1 to 65535 0.0001 N/A
EmisWB Wide Band Emissivity N/A 8-bit unsigned integer N/A N/A 1 to 255 0.002 0.49
PWV Precipitable Water Vapor cm 16-bit unsigned integer N/A N/A 1 to 65535 0.001 N/A
cloud_mask Final cloud mask N/A 8-bit unsigned integer N/A N/A 0, 1 N/A N/A
water_mask water mask N/A 8-bit unsigned integer N/A N/A 0, 1 N/A N/A

Cloud Mask Values

Class Description
0 Clear
1 Cloudy

Water Mask Values

Class Description
0 Land
1 Water

Product Quality

Quality information, including the bit definition index for the quality layer, is provided in Section 2.4 of the User Guide.

Known Issues

  • Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly, temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented, and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4, and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023.

  • Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected.

  • Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods.


About the image

ECOSTRESS land surface temperature data from the ECO_L2_LSTE product over California, United States, acquired on November 29, 2022.

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Documentation

User Guide
Algorithm Theoretical Basis Document (ATBD)
Product Specification Document (PSD)
Algorithm Specification Document (ASD)
Earthdata Search Quick Guide

Using the Data

Access Data

Citation

DOI: 10.5067/ECOSTRESS/ECO_L2_LSTE.002