GIS Modelling of Evapotranspiration with Remote Sensing: 2nd Edition

A special issue of Hydrology (ISSN 2306-5338). This special issue belongs to the section "Hydrology–Climate Interactions".

Deadline for manuscript submissions: closed (31 May 2026) | Viewed by 736

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Guest Editor
Department of Civil Engineering, Alabama A&M University, Huntsville, AL 35782, USA
Interests: water quality modeling; groundwater systems; GIS; remote sensing
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Guest Editor
College of Water Sciences, Beijing Normal University, Beijing 100875, China
Interests: spatial analysis; satellite image analysis; water quality; rivers; freshwater ecology; hydrology; aquatic ecology; remote sensing; water resources management; hydrological modeling
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Special Issue Information

Dear Colleagues,

Evapotranspiration (ET) can be estimated from the complex surface energy balance equations. This process plays a decisive role in various water resource management activities, including the required irrigation water, vegetation–atmosphere interactions, and terrestrial ecosystem productivity over a range of spatial and temporal domains. However, the reliable estimation of ET, characterized by complex vegetation–atmosphere interactions, is limited by scarce data availability and a lack of expertise in conceptualizing the real field scenario. Several remote sensing-based ET estimation approaches, particularly those used to estimate sensible heat flux within a smaller spatial domain, are discussed in this Special Issue. This includes Mapping EvapoTranspiration at High Resolution using Internalized Calibration (METRIC) and Surface Energy Balance Algorithm for Land (SEBAL) (Allen et al., 2011). The introduction of a Moderate Resolution Imaging Spectroradiometer (MODIS) satellite, a device that onboards the aqua and terra sensors, provided continuous ET estimates at 250 m spatial and 8-day temporal resolutions. This was performed with the objective of improved irrigation scheduling at an 8-day timescale, in congruence with the general water stress-sensitive period for major crops.

This Special Issue provides an opportunity for budding researchers to publish their research outcomes related to remote sensing applications in evapotranspiration mapping. This Special Issue invites research articles including but not limited to:

  • Catchment-scale Evapotranspiration monitoring
  • MODIS ET product for vegetation monitoring
  • GIS-based crop planning
  • Remote sensing-based hydrological water balance assessment
  • Spatiotemporal vegetation health monitoring
  • Evapotranspiration modeling under scarce data availability scenario
  • Modeling evapotranspiration with soil moisture estimates

Dr. Pooja P. Preetha
Dr. Changsen Zhao
Guest Editors

Prof. Dr. Leszek Sobkowiak
Co-Guest Editor

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Keywords

  • evapotranspiration
  • remote sensing
  • leaf area index (LAI)
  • geographic information system
  • crop monitoring
  • watershed modeling
  • vegetation indices
  • evaporation
  • transpiration

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Published Papers (1 paper)

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Research

18 pages, 3578 KB  
Article
Comparative Assessment of Different Satellite-Derived Actual Evapotranspiration Estimates in Northeast Italy
by Marta Chiesi, Sofia Ortenzi, Paulina Bartkowiak, Matteo Camporese, Mariapina Castelli, Jacopo Dari, Luca Fibbi, Beatrice Gatto, Christian Massari, Maurizio Pieri, Silvana Vanucci and Fabio Maselli
Hydrology 2026, 13(6), 143; https://doi.org/10.3390/hydrology13060143 - 29 May 2026
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Abstract
Accurate estimation of actual evapotranspiration (ETa) is essential for understanding hydrological processes and managing water resources, especially in regions characterized by intensive agriculture and complex groundwater–surface interactions. This study intercompares three independent satellite-based ETa estimation approaches applied over Northeast Italy. The first two [...] Read more.
Accurate estimation of actual evapotranspiration (ETa) is essential for understanding hydrological processes and managing water resources, especially in regions characterized by intensive agriculture and complex groundwater–surface interactions. This study intercompares three independent satellite-based ETa estimation approaches applied over Northeast Italy. The first two methods correspond to the classical MODIS algorithm (MOD16), which is based on a simplified Penman–Monteith approach, and to the more recent Sen-ET modelling framework, which relies on a surface energy balance principle. The outputs of these methods are compared to those produced by a water balance algorithm, NDVI-Cws, which predicts ETa through the combination of conventional ancillary data and MODIS NDVI imagery. The results obtained show that, while the MODIS algorithm yields ETa estimates which are generally lower than those of Sen-ET and NDVI-Cws, the latter methods produce similar predictions for most cover types examined. The same two methods are potentially capable of providing higher spatial resolution daily ETa estimates depending on the satellite inputs used; out of them, however, only NDVI-Cws can yield spatially complete and temporally continuous datasets. The analysis therefore provides insights into the reliability and usability of different remote sensing approaches for regional-scale water resource monitoring. Full article
(This article belongs to the Special Issue GIS Modelling of Evapotranspiration with Remote Sensing: 2nd Edition)
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