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Evapotranspiration Model Based on Remote Sensing and Ground Station Observation Data and Its Application in Agriculture

This special issue belongs to the section “Remote Sensing in Agriculture and Vegetation“.

Special Issue Information

Dear Colleagues,

Evapotranspiration (ET) is a critical component of the water cycle and plays a vital role in water resource management and crop growth in agricultural ecosystems. Remote sensing and ground station observation data have proven to be valuable tools for estimating ET, which can provide valuable insights into crop water use and help optimize irrigation management in agricultural production. However, due to the complexity of factors influencing the process, including soil properties, weather conditions, vegetation growth, and irrigation practices, there are still challenges in accurately modeling ET.

By gathering innovative research articles on ET modeling methods that integrate remote sensing and ground station data for agricultural applications, this Special Issue aims to advance the understanding of the complex factors influencing the ET process and provide valuable insights into crop water use and irrigation management in agricultural production.

This Special Issue seeks to gather research articles on innovative ET modeling methods that integrate remote sensing and ground station data for agricultural applications. The contributions may include (but are not limited to) the following topics:

  • New methods and algorithms for estimating ET using remote sensing data;
  • Advances in ground-based ET measurement techniques and data assimilation;
  • Applications of ET modeling in precision irrigation management, drought monitoring, and water resource management;
  • Evaluation of the accuracy and uncertainty of ET models and data products;
  • Use of ET modeling for predicting crop yield and growth under different environmental and management conditions.

Dr. Liang Sun
Dr. Yun Yang
Dr. Sibo Duan
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

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.

Keywords

  • evapotranspiration (ET)
  • water resource management
  • environmental monitoring
  • crop growth
  • irrigation management
  • drought monitoring
  • precision agriculture
  • crop yield prediction

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Published Papers

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Remote Sens. - ISSN 2072-4292