Remote Sensing-Based Evapotranspiration Models

Dear Colleagues,

Evapotranspiration (ET) plays a significant role in local, regional, and global climate by impacting relationships between land-use/land cover change and microclimate/climate energy balance in the hydrological cycle and has important applications in agriculture and natural system. Over the years, various remote sensing-based techniques have been developed to understand and estimate ET and its interactions over local to regional spatial scales. This special issue aims to provide a forum of discussion for recent developments and advances in Remote Sensing-based ET models and their applications in diverse ecosystems and agrometeorological conditions. The special issue aims at targeting studies related to the advances of large-scale remote sensing-based ET modeling, model and algorithm validation, uncertainty analysis, and calibration aiming at improvements of surface energy and water vapor fluxes computations under different climate and land-use scenarios. Specific topics include but are not limited to:

• Development, validation, and inter-comparison of new and improved remote sensing-based ET models in diverse ecosystems and agrometeorological conditions.
• Integration remote sensing model ET with hydrological and crop models, and machine learning.
• Downscaling and data fusion techniques to improve spatio-temporal resolution of remote sensing-based ET products.
• Application of remote sensing-based ET models in agriculture, natural, and urban environment, food security, water resources management under irrigated and rainfed settings.

Dr. Vivek Sharma
Dr. Aditya Singh
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.