On-demand global Landsat evapotranspiration product: Development, evaluation, and dissemination
Global actual evapotranspiration (ET) is one of the essential climate variables needed to understand and manage the relationships among food, energy, and water resources. The U.S. Geological Survey Earth Resources Observation and Science (EROS) Center launched a provisional ET product in 2020, offering on-demand, field-scale global coverage derived from Landsat data through the EROS Science Processing Architecture (ESPA) platform. The ESPA interface provides ET data for cloud-free Landsat overpasses starting in 1982 with Landsat 4 through the current Landsat 9. The ET data are delivered as a Provisional Level-3 Science product created using the Operational Simplified Surface Energy Balance (SSEBop) model. Landsat surface temperature and reference ET are the main model drivers along with vegetation index and net radiation for model parameterization. A large volume of Landsat-based ET orders (e.g., over 1,200,000 images from June 2020 through December 2025) around the world indicate increasing awareness and application of the ET data. The ESPA platform enables land and water resource managers and researchers to access a first-order ET product without requiring advanced knowledge of remote sensing technology or evapotranspiration modeling. We present the methodology and workflow of the on-demand Landsat ET product and its performance evaluations over diverse hydro-climatic settings. The product can help estimate field-scale consumptive water use and thus quickly and consistently assess historical water use, allocation, and budget to inform water management under changing environments. Future ET data aggregated to monthly and seasonal time scales are expected to enhance integration with decision-making tools and procedures.
Citation Information
| Publication Year | 2026 |
|---|---|
| Title | On-demand global Landsat evapotranspiration product: Development, evaluation, and dissemination |
| DOI | 10.1016/j.rse.2026.115633 |
| Authors | Gabriel B. Senay, Gabriel Edwin Lee Parrish, Kul Bikram Khand, Lei Ji, Ray Dittmeier, MacKenzie Friedrichs, John Volk, Charles Morton, Leonardo Laipelt, Stefanie Kagone, Sheila M. Cochrane, Jordan Dornbierer, Saeed Arab, Calli Jenkerson, Anderson Ruhoff, Michael Budde |
| Publication Type | Article |
| Publication Subtype | Journal Article |
| Series Title | Remote Sensing of Environment |
| Index ID | 70279838 |
| Record Source | USGS Publications Warehouse |
| USGS Organization | Earth Resources Observation and Science (EROS) Center |