Advances in Remote Sensing for Crop Monitoring and Food Security
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Agriculture and Vegetation".
Deadline for manuscript submissions: 15 February 2025 | Viewed by 1020
Special Issue Editors
Interests: remote sensing of environment; land use and land cover change; precision agriculture; crop monitoring; time series analysis; fractional vegetation cover; food security.
Interests: hyperspectral imaging; remote sensing image processing; geophysical techniques; agriculture; data assimilation; diseases; geochemistry; geophysical signal processing; neural nets; nitrogen; pest control
Special Issues, Collections and Topics in MDPI journals
Interests: thermal remote sensing; vegetation remote sensing; crop classification; smart agriculture
Interests: land cover classification; land use modelling; agricultural system
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the era of smart agriculture, remote sensing techniques play an increasingly important role in the intelligent and high-quality development of agriculture, providing key technical support for efficient food production and food security. In recent years, multi-source remote sensing data from satellites and Unmanned Aerial Vehicle (UAV) platforms have offered long-term observational information with high spatial, temporal, and spectral resolution. This information complements ground investigations, greatly enriching our multi-scale understanding of crop growth processes and agricultural practices. Many advanced techniques and applications have emerged in remote sensing for crop monitoring and food security, utilizing physics-based models, empirical models, and machine learning algorithms.
This Special Issue focuses on methodologies and practices in agricultural remote sensing for food security. We welcome novel techniques and applications for monitoring cropland areas, crop growth processes, and crop loss-related abiotic/biotic stresses, as well as advanced practices aimed at improving the efficiency of crop planting and production management. This Special Issue will provide important technical and methodological support for field management throughout the entire growth period of crops, precise water control and fertilization, high-precision yield estimation, and support stable and high yields. We are soliciting papers on, but not limited to, the following topics:
- Cropland change detection;
- Satellite-based cropland identification and classification;
- UAV-based high-resolution mapping of agricultural fields;
- Quantitative inversion of crop structural and biochemical parameters;
- Crop growth monitoring based on temporal analysis;
- Disease, pests, lodging, and weeds monitoring for crops;
- Interactions between extreme climate events and crops;
- Crop yield assessment.
Dr. Lili Xu
Dr. Yingying Dong
Dr. Ran Huang
Prof. Dr. Hao Wu
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. 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
- crop monitoring
- land use change
- high-resolution imagery
- precision agriculture
- phenology
- growth stages
- vegetation indices
- crop stress detection
- yield models
- machine learning algorithms
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