Multispectral Remote Sensing for Monitoring Agricultural Dynamics

Dear Colleagues,

The growing global demand for food, fiber and bioenergy, coupled with the challenges associated with climate change and environmental protection, amplifies the urgent need for advanced tools to monitor and manage agricultural systems. Remote sensing is a fundamental technology, enabling detailed and frequent observation of agricultural dynamics at multiple spatial and temporal scales. Multispectral imagery provides valuable information on vegetation health, phenological stages, stress conditions and crop productivity. Recent advances in satellite platforms (such as Sentinel-2 and Landsat-8/9) and unmanned aerial vehicles (UAVs) have significantly improved the accuracy of agricultural mapping and monitoring, enabling the detection of subtle changes in crop conditions and the use of this knowledge for decision-making serving the public and private sectors. As agricultural landscapes become increasingly dynamic due to natural variability and human interventions, remote sensing research and applications are not only timely but essential to ensure food security, optimize the use of natural resources and promote sustainable rural development.

The aim of this Special Issue, “Multispectral Remote Sensing for Monitoring Agricultural Dynamics” is to bring together high-quality research and review articles that advance the use of multispectral imagery in monitoring agriculture, from field to regional and global scales. By highlighting methodological innovations, case studies and integrative approaches, the issue seeks to promote a deeper understanding of how multispectral remote sensing can support the sustainable intensification of agriculture.

Articles may address, but are not limited, to the following topics:

- Applications of UAV imagery in precision/digital agriculture
- Fusion or harmonization of multispectral Images
- Indices and algorithms for monitoring agricultural crops and yield estimation
- Integration of multispectral data with other sources (hyperspectral, radar, LiDAR, etc.)
- Monitoring crop phenology, growth stages and stress detection
- Remote sensing applications for sustainable resource use and food security
- Time-series analysis of multispectral imagery for agricultural monitoring
- Tools for detecting land use and land cover changes in agricultural landscapes
- Crop mapping and agricultural statistics

Dr. Édson Luis Bolfe
Dr. Marcos Adami
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.