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Application of Remote Sensing Images for Monitoring Crops

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".

Deadline for manuscript submissions: closed (26 April 2024) | Viewed by 193

Special Issue Editors

1. School of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, 99 Xuefu Road, Huqiu District, Suzhou 215009, China
2. International Institute for Earth System Science, Nanjing University, Xianlin Avenue 163, Nanjing 210093, China
Interests: remote sensing; crop monitoring, new and innovative applications; novel mechanisms and data-driven methods; data from new platforms and sensors

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Guest Editor
International Institute for Earth System Science, Nanjing University, Xianlin Avenue 163, Nanjing 210093, China
Interests: remote sensing

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Guest Editor
College of Natural Resources and Environment, Northwest A&F University, Yangling 712100, China
Interests: remote sensing; terrestrial water-carbon cycle; environment monitoring and management
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Guest Editor
Remote Sensing and Spatial Analysis Research Center, Università Cattolica del Sacro Cuore, 29122 Piacenza, Italy
Interests: remote sensing; precision agriculture

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Guest Editor
Precision Soil and Crop Engineering (Precision Scoring), Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, Blok B, 1st Floor, 9000 Gent, Belgium
Interests: proximal soil sensing; soil and water management; soil dynamics; tillage; traction; compaction; mechanical weeding; soil remediation and management and precision agriculture
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Special Issue Information

Dear Colleagues,

Remote sensing plays a key role in crop area estimation, crop growth monitoring, soil moisture and fertility evaluation, crop stress detection, disease and pest diagnosis, yield estimation, greenhouse gas emission, etc. Recent progress in the development of observation methods for sun-induced chlorophyll fluorescence, radar, and GNSS (Global Navigation Satellite System) signals; the emergence of remote sensing platforms, including UAVs (Unmanned Aerial Vehicles) and IoT (Internet of Things); and the development of data processing methods, including big data analysis, deep learning, and artificial intelligence (AI), have led to the application of high-precision, real-time, and intelligent remote sensing methods for crop monitoring. The growth of remote sensing has also led to new challenges and scientific applications in the field of remote sensing. To demonstrate the developments in remote sensing for crop monitoring, this Special Issue aims to present new and innovative applications of remote sensing data, collected using a broad range of platforms and sensors, and to highlight novel mechanisms and data-driven methods for measuring key crop parameters. The editors welcome submissions that use remote sensing images to address previously unanswered questions and that provide new insights into enhancing remote sensing applications in agriculture.

Dr. Xuehe Lu
Prof. Dr. Xiuying Zhang
Dr. Xiaoping Wang
Dr. Michele Croci
Prof. Dr. Abdul M. Mouazen
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at 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 100 words) can be sent to the Editorial Office for announcement on this website.

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.


  • remote sensing
  • crop monitoring
  • new and innovative applications
  • novel mechanisms and data-driven methods
  • data from new platforms and sensors

Published Papers

There is no accepted submissions to this special issue at this moment.
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