Recent Advances in Remote Sensing of Evapotranspiration

Evapotranspiration (ET) plays an important role in coupling the global energy, water, and biogeochemical cycles and explains ecosystem responses to global environmental change. However, quantifying and mapping the spatiotemporal distribution of ET across a large area is still a challenge, which limits our understanding of how a given ecosystem functions under a changing climate. This also poses a challenge to water managers, farmers, and ranchers who often rely on accurate estimates of ET to make important irrigation and management decisions. Over the last three decades, remote sensing-based ET modeling tools have played a significant role in managing water resources and understanding land-atmosphere interactions. However, several challenges, including limited applicability under all conditions, scarcity of calibration and validation datasets, and spectral and spatiotemporal constraints of available satellite sensors, exist in the current state-of-the-art remote sensing-based ET models and products. The special issue on “Remote Sensing of Evapotranspiration II” was launched to attract studies focusing on recent advances in remote sensing-based ET models to help address some of these challenges and find novel ways of applying and/or integrating remotely sensed ET products with other datasets to answer key questions related to water and environmental sustainability. The 13 articles published in this special issue cover a wide range of topics ranging from field- to global-scale analysis, individual model to multi-model evaluation, single sensor to multi-sensor fusion, and highlight recent advances and applications of remote sensing-based ET modeling tools and products.

[1]  Wout Verhoef,et al.  Integration of soil moisture in SEBS for improving evapotranspiration estimation under water stress conditions , 2012 .

[2]  Jungho Im,et al.  Evaluating five remote sensing based single-source surface energy balance models for estimating daily evapotranspiration in a humid subtropical climate , 2016, Int. J. Appl. Earth Obs. Geoinformation.

[3]  Martha C. Anderson,et al.  Use of Landsat thermal imagery in monitoring evapotranspiration and managing water resources , 2012 .

[4]  Albert Olioso,et al.  Evapotranspiration Estimation in the Sahel Using a New Ensemble-Contextual Method , 2020, Remote. Sens..

[5]  The role of aerodynamic resistance in thermal remote sensing-based evapotranspiration models , 2021 .

[6]  Víctor García-Gutiérrez,et al.  Evaluation of Penman-Monteith Model Based on Sentinel-2 Data for the Estimation of Actual Evapotranspiration in Vineyards , 2021, Remote. Sens..

[7]  George R. Diak,et al.  Estimating Near Real-Time Hourly Evapotranspiration Using Numerical Weather Prediction Model Output and GOES Remote Sensing Data in Iowa , 2020, Remote. Sens..

[8]  William L. Smith,et al.  Global Trends in Evapotranspiration Dominated by Increases across Large Cropland Regions , 2020, Remote. Sens..

[9]  Pamela L. Nagler,et al.  Riparian Area Changes in Greenness and Water Use on the Lower Colorado River in the USA from 2000 to 2020 , 2021, Remote. Sens..

[10]  S. Running,et al.  A review of remote sensing based actual evapotranspiration estimation , 2016 .

[11]  Bibek Acharya,et al.  Comparison of Satellite Driven Surface Energy Balance Models in Estimating Crop Evapotranspiration in Semi-Arid to Arid Inter-Mountain Region , 2021, Remote. Sens..

[12]  Nathaniel A. Brunsell,et al.  Regional evapotranspiration from an image-based implementation of the Surface Temperature Initiated Closure (STIC1.2) model and its validation across an aridity gradient in the conterminous US , 2017 .

[13]  Jie Wu,et al.  The Reliability of Global Remote Sensing Evapotranspiration Products over Amazon , 2020, Remote. Sens..

[14]  Mengmeng Li,et al.  Estimation of Seasonal Evapotranspiration for Crops in Arid Regions Using Multisource Remote Sensing Images , 2020, Remote. Sens..

[15]  John S. Kimball,et al.  Comparing Evapotranspiration Products of Different Temporal and Spatial Scales in Native and Managed Prairie Pastures , 2020, Remote Sensing.

[16]  Bibek Acharya,et al.  Quantification and Mapping of Satellite Driven Surface Energy Balance Fluxes in Semi-Arid to Arid Inter-Mountain Region , 2020, Remote. Sens..

[17]  R. Hostache,et al.  A Critical Evaluation on the Role of Aerodynamic and Canopy–Surface Conductance Parameterization in SEB and SVAT Models for Simulating Evapotranspiration: A Case Study in the Upper Biebrza National Park Wetland in Poland , 2018, Water.

[18]  Hector Nieto,et al.  Feasibility of Using the Two-Source Energy Balance Model (TSEB) with Sentinel-2 and Sentinel-3 Images to Analyze the Spatio-Temporal Variability of Vine Water Status in a Vineyard , 2020, Remote. Sens..

[19]  Jinliang Hou,et al.  Evapotranspiration Partitioning at Field Scales Using TSEB and Multi-Satellite Data Fusion in The Middle Reaches of Heihe River Basin, Northwest China , 2020, Remote. Sens..

[20]  Martha C. Anderson,et al.  Advances in thermal infrared remote sensing for land surface modeling , 2009 .

[21]  Uwe Rascher,et al.  A First Assessment of the 2018 European Drought Impact on Ecosystem Evapotranspiration , 2020, Remote. Sens..

[22]  P. Gowda,et al.  Performance of five surface energy balance models for estimating daily evapotranspiration in high biomass sorghum , 2017 .

[23]  M. Watkins,et al.  GRACE Measurements of Mass Variability in the Earth System , 2004, Science.