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Description

Evapotranspiration (ET) is the process by which the land surface returns water to the atmosphere in the form of moisture. ET is a very important part of the water cycle in the Earth system. It is the sum of evaporation from bare soil and transpiration from vegetation. 

For a given watershed, the supply of water from precipitation, surface, and groundwater can be depleted via ET. Therefore, estimating the amount of ET is crucial for calculating the overall water budget and for effective water management. Since ET indicates loss of moisture from the soil and vegetation, monitoring ET on agricultural fields helps with crop irrigation activities and water conservation.

Because ET depends on land surface characteristics such as type of vegetation and soil moisture, available heat energy from sunlight, and atmospheric weather conditions; it is not possible to measure ET directly. Remote sensing observations provide several of the land and atmospheric parameters useful for estimating ET. 

Several methodologies have been developed using various satellite observations to estimate ET over the past two decades. These ET products are used for a variety of applications from the farm scale to the watershed scale.

This training, led by NASA's Applied Remote Sensing Training (ARSET) program, focuses on introducing ET products derived from remote sensing observations. It specifically covers a web portal called OpenET, which includes ET products estimated by using six models as well as Landsat satellite observations. These ET products cover the Western United States. 

In addition, information about global ET products derived from ECOsystem Spaceborne Thermal Radiometer Experiment on the Space Station (ECOSTRESS) are covered. The training sessions provide detail about OpenET and ECOSTRESS ET products, demonstrations and hands-on exercises for data access and analysis, and examples of applications of the data.

Prerequisites

Objectives

By the end of this training attendees will be able to:

  • Identify state-of-the-art techniques to derive evapotranspiration (ET) using remote sensing
  • Recognize how ET data can be used in water resources and agricultural management
  • Access OpenET and ECOSTRESS ET data products for their own applications.

Target Audience

This training is intended for local, regional, federal, and non-governmental organizations from agriculture and water resources related agencies involved in water resources and agricultural management.

Course Format

  • Three 1.5 hour parts

Sessions

Part 1: Introduction to OpenET

Wednesday, June 1, 2022

Remote video URL

Part 1 topics:

  • Background, methodologies, and validation of various ET products
  • Applications of ET for water resources and agricultural management
  • Demonstration of OpenET data portal for data access and visualization

ARSET Instructor

Amita Mehta

Materials

Part 2: Introduction to ECOSTRESS ET

Wednesday, June 8, 2022

Remote video URL

Part 2 topics:

  • Background of the ECOSTRESS mission
  • ECOSTRESS ET products
  • Demonstration of ECOSTRESS ET data access and visualization

ARSET Instructor

 Amita Mehta

Guest Instructors

  • Gregory Halverson (NASA's Jet Propulsion Laboratory)
  • Kerry Cawse-Nicholson
  • Christine Lee

Materials

If you wish to replicate the Part 2 demonstration to access and display ECOSTRESS data, please:

Part 3: Data Access and Application of ET products

Wednesday, June 15, 2022

Remote video URL

Part 3 topics:

  • Demonstration of using ET for water balance assessment at the watershed level
  • Hands on exercise to download and compare the OpenET and ECOSTRESS ET products at farm to watershed scales

ARSET Instructor

Amita Mehta

Materials

Citation

(2022). ARSET - Applications of Remote Sensing-Based Evapotranspiration Data Products for Agricultural and Water Resource Management. NASA Applied Remote Sensing Training Program (ARSET). https://www.earthdata.nasa.gov/learn/trainings/applications-of-remote-sensing-based-evapotranspiration-data-products-for. 

Details

Last Updated

Feb. 26, 2026

Published

June 1, 2022

Data Center/Project

Applied Remote Sensing Training Program (ARSET)