The Application of Remote Sensing for Agricultural Monitoring
A special issue of AgriEngineering (ISSN 2624-7402). This special issue belongs to the section "Remote Sensing in Agriculture".
Deadline for manuscript submissions: 30 November 2026 | Viewed by 5
Special Issue Editors
Interests: retrieval of biophysical traits of crops by using remote sensing data; reconstruction of Landsat EVI trajectory
Special Issues, Collections and Topics in MDPI journals
Interests: algorithm development; time-series remote sensing; vegetation phenology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Remote sensing techniques are powerful tools for monitoring and evaluating soil water and nutrient conditions, crop growth, and other environmental indicators. In addition to satellite remote sensing, new devices like chlorophyll fluorescence imagers/meters, close-range drones/unmanned aerial vehicles, and mobile ground robots equipped with various sensors provide vast amounts of data. This data presents significant challenges in processing, analysis, and assimilation for practical agricultural applications. With the help of advanced non-parametric regression algorithms such as machine learning and artificial intelligence, new and effective information hidden in remote sensing big data could be unraveled, allowing for the optimization of crop production at unprecedented spatial and temporal scales.
To advance and optimize technology, analysis, and monitoring methods, this Special Issue welcomes original research and comprehensive reviews on the following topics: (1) advancements in remote sensing equipment and application scenarios, (2) enhanced fusion of multi-source remote sensing data for retrieving biophysical and biochemical variables of crops and soils, (3) innovative methodologies and image analysis tools for agricultural monitoring using remote sensing data, and (4) expanding the scope of remote sensing applications in agricultural monitoring.
Dr. Wei Xue
Dr. Ruyin Cao
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 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. AgriEngineering is an international peer-reviewed open access monthly 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 1600 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
- remote sensing
- crop monitoring
- algorithms
- machine learning
- artificial intelligence
- field management
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