Post-fire evapotranspiration estimates in ground truth limited environments

Wildfires are catastrophic events with increasing incidence and severity, especially in Mediterranean climates like California. Wildfires can drastically change the hydrologic components of a watershed and require consistent and reliable data to monitor recovery. With the upcoming retirement of the...

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Main Authors: Kyra Liu, Sonya R. Lopez
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Ecological Informatics
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Online Access:http://www.sciencedirect.com/science/article/pii/S1574954125002845
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author Kyra Liu
Sonya R. Lopez
author_facet Kyra Liu
Sonya R. Lopez
author_sort Kyra Liu
collection DOAJ
description Wildfires are catastrophic events with increasing incidence and severity, especially in Mediterranean climates like California. Wildfires can drastically change the hydrologic components of a watershed and require consistent and reliable data to monitor recovery. With the upcoming retirement of the Moderate Resolution Imaging Spectroradiometer (MODIS), a reliable evapotranspiration (ET) product at the subcatchment scale is necessary to monitor longitudinal ET, particularly post-fire. We evaluate NASA JPL's ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS), MODIS, and the North American Land Data Assimilation System phase 2 (NLDAS-2) to assess performance in longitudinal evapotranspiration (ET) estimates and post-fire ET change detection using correlation analysis and linear regression for twelve subwatersheds located within the August Complex Fire (August 2020) in Trinity County, the Delta Fire (September 2018) in Shasta and Trinity Counties, and the Creek Fire (September 2020) in Fresno County for a four-year period. We found that MODIS and ECOSTRESS showed the strongest correlation in daily ET estimates (mean r = 0.56), while correlations between ECOSTRESS-NLDAS-2 (r = 0.06) and MODIS-NLDAS-2 (r = 0.30) were notably weaker. However, ECOSTRESS data availability constrained post-fire change detection and annual ET sum assessments. Its higher spatial resolution and correlation with MODIS have potential for finer-scale model parameterization of post-fire landcover changes, particularly vegetation loss in place of MODIS. NLDAS-2 can be useful in monthly and annual patterns at larger scales. By comparing ECOSTRESS with established platforms of ET estimation, we validate ECOSTRESS as a tool for post-fire ET monitoring, especially in areas where ground truth data is unavailable. These findings can allow for more informed and effective land management decisions, particularly in wildfire and vegetation monitoring.
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spelling doaj-art-f3fdc70c2b824c60aac292df58f7da652025-08-20T05:05:29ZengElsevierEcological Informatics1574-95412025-12-019010327510.1016/j.ecoinf.2025.103275Post-fire evapotranspiration estimates in ground truth limited environmentsKyra Liu0Sonya R. Lopez1Department of Geography, University of California, 405 Hilgard Ave, Los Angeles, CA 90095, United States; Corresponding author.Department of Civil Engineering, California State University, 5151 State University Dr, Los Angeles, CA 90032, United StatesWildfires are catastrophic events with increasing incidence and severity, especially in Mediterranean climates like California. Wildfires can drastically change the hydrologic components of a watershed and require consistent and reliable data to monitor recovery. With the upcoming retirement of the Moderate Resolution Imaging Spectroradiometer (MODIS), a reliable evapotranspiration (ET) product at the subcatchment scale is necessary to monitor longitudinal ET, particularly post-fire. We evaluate NASA JPL's ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS), MODIS, and the North American Land Data Assimilation System phase 2 (NLDAS-2) to assess performance in longitudinal evapotranspiration (ET) estimates and post-fire ET change detection using correlation analysis and linear regression for twelve subwatersheds located within the August Complex Fire (August 2020) in Trinity County, the Delta Fire (September 2018) in Shasta and Trinity Counties, and the Creek Fire (September 2020) in Fresno County for a four-year period. We found that MODIS and ECOSTRESS showed the strongest correlation in daily ET estimates (mean r = 0.56), while correlations between ECOSTRESS-NLDAS-2 (r = 0.06) and MODIS-NLDAS-2 (r = 0.30) were notably weaker. However, ECOSTRESS data availability constrained post-fire change detection and annual ET sum assessments. Its higher spatial resolution and correlation with MODIS have potential for finer-scale model parameterization of post-fire landcover changes, particularly vegetation loss in place of MODIS. NLDAS-2 can be useful in monthly and annual patterns at larger scales. By comparing ECOSTRESS with established platforms of ET estimation, we validate ECOSTRESS as a tool for post-fire ET monitoring, especially in areas where ground truth data is unavailable. These findings can allow for more informed and effective land management decisions, particularly in wildfire and vegetation monitoring.http://www.sciencedirect.com/science/article/pii/S1574954125002845WildfireEvapotranspirationIntersatellite comparison
spellingShingle Kyra Liu
Sonya R. Lopez
Post-fire evapotranspiration estimates in ground truth limited environments
Ecological Informatics
Wildfire
Evapotranspiration
Intersatellite comparison
title Post-fire evapotranspiration estimates in ground truth limited environments
title_full Post-fire evapotranspiration estimates in ground truth limited environments
title_fullStr Post-fire evapotranspiration estimates in ground truth limited environments
title_full_unstemmed Post-fire evapotranspiration estimates in ground truth limited environments
title_short Post-fire evapotranspiration estimates in ground truth limited environments
title_sort post fire evapotranspiration estimates in ground truth limited environments
topic Wildfire
Evapotranspiration
Intersatellite comparison
url http://www.sciencedirect.com/science/article/pii/S1574954125002845
work_keys_str_mv AT kyraliu postfireevapotranspirationestimatesingroundtruthlimitedenvironments
AT sonyarlopez postfireevapotranspirationestimatesingroundtruthlimitedenvironments