NASA ARSET New Sensor Highlight: ECOSTRESS

Details:

Published: Nov. 20, 2019

This NASA Applied Remote Sensing Training (ARSET) lightning webinar covers the ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS). The ECOSTRESS mission is to address three critical questions surrounding vegetation health and agriculture, including:

  1. How is the terrestrial biosphere responding to changes in water availability?
  2. How do changes in diurnal vegetation water stress impact the global carbon cycle?
  3. Can agricultural vulnerability be reduced through advanced monitoring of agricultural water consumptive use and improved drought estimation?

The first part of this webinar introduces users to ECOSTRESS and highlights recent research and applications of ECOSTRESS data. The second portion of the webinar covers the different products available from ECOSTRESS and how to access and download ECOSTRESS data via the LP DAAC, including a live demonstration of extracting ECOSTRESS data in AppEEARS, using a real-world use case example.

Relevant Products

Product Long Name
MOD11A1.006 MODIS/Terra Land Surface Temperature/Emissivity Daily L3 Global 1 km SIN Grid
ECO1BGEO.001 ECOSTRESS Geolocation Daily L1B Global 70 m
ECO2CLD.001 ECOSTRESS Cloud Mask Daily L2 Global 70 m
ECO2LSTE.001 ECOSTRESS Land Surface Temperature and Emissivity Daily L2 Global 70 m
ECO3ANCQA.001 ECOSTRESS L3/L4 Ancillary Data Quality Assurance (QA) Flags L3 Global 70 m
ECO3ETPTJPL.001 ECOSTRESS Evapotranspiration PT-JPL Daily L3 Global 70 m
ECO4ESIPTJPL.001 ECOSTRESS Evaporative Stress Index PT-JPL Daily L4 Global 70 m
ECO4WUE.001 ECOSTRESS Water Use Efficiency Daily L4 Global 70 m
ECO3ETALEXIU.001 ECOSTRESS Evapotranspiration dis-ALEXI USDA Daily L3 Global 30m
ECO4ESIALEXIU.001 ECOSTRESS Evaporative Stress Index dis-ALEXI USDA Daily L4 Global 30 m

Tools

Name Filters Description
AppEEARS Search, Subset, Decode Quality

The Application for Extracting and Exploring Analysis Ready Samples (AρρE…

Data Prep Scripts Direct Download, Web Service

This collection of R and Python scripts can be used to download data and …