Special Issue "Radar Remote Sensing for Monitoring Agricultural Management"
Deadline for manuscript submissions: 15 December 2023 | Viewed by 1913
Interests: microwave and optical remote sensing for crop biophysical parameter retrieval; synthetic aperture radar for crop monitoring; radar vegetation indices; machine learning based inversion algorithms
Interests: electromagnetic modeling; radar polarimetry; polarimetric SAR data analysis; remote sensing for land applications.
Interests: physical, statistical and machine learning approaches for modeling of agricultural and environmental
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The growth of the world population is accelerating at a time of increasing climatic uncertainty, leading to effects upon agricultural production. Measuring the current status of our agricultural landscapes, and monitoring how we are managing our agro-ecosystems, is incredibly important. Although there is no single solution, space-based imagery provides science-based data to monitor and respond to risks that threaten agriculture, to manage landscapes, and to quantify crop production. In recent decades, efforts have accelerated to develop methods to exploit space-based synthetic aperture radar (SAR) imagery to monitor agriculture and inventory mapping. Furthermore, it is gaining attention due to the availability of increased SAR satellites and the rapid expansion of the constellations of satellites. With recent developments, SAR imaging modes are more sophisticated, and enable data acquisition not only in single and dual polarizations but also in fully polarimetric (FP) and compact polarimetric (CP) configurations. In addition to these advancements in polarimetry, users of these space-based SAR satellites are able to see the Earth at incredible spatial detail and over large geographical extents. Such advanced sensors offer an extraordinary opportunity to monitor our changing landscapes. These remarkable advancements in SAR engineering have challenged researchers to find ways to exploit the full capability of these advanced SAR modes. Years of research have been convincing. SAR sensors have a vital role to play in monitoring soils and crops, and in quantifying crop production. In addition, Earth Observation (EO) data analytics and computing framework for agricultural applications has established itself as an independent domain of research over several decades, with numerous renowned organizations, international consortia, and institutions focusing on utilizing and promoting these datasets. Benchmarking such efforts and scientifically developed applications is essential in radar remote sensing for agricultural crop mapping and monitoring for translating research into operation.
This Special Issue aims to present state-of-the-art research in radar remote sensing for monitoring agricultural management including, but not limited to: Tillage operation and harvest;
- Irrigation management;
- Crop damage assessment;
- Crop phenology stage identification;
- New processing pipelines in cloud computing framework;
- Geo-biophysical parameter retrieval approaches;
- Field experiments;
- Data fusion and assimilation.
- Analysis of time series dynamics from SAR data to track crop phenological development;
- Crop characterization using SAR polarimetric features including full, dual and compact polarimetric mode;
- Multi-frequency SAR data integration;
- SAR interferometry and coherent change detection;
- Radar vegetation indices;
- Cloud computing processing pipelines exploring cropland traits monitoring;
- Synergies between optical and radar data;
- Conservation land management practices;
- Crop classification and crop risk assessment;
- Geo-biophysical measures of crop productivity and growth.
- Research articles;
- Review articles;
- Short communications;
- Technical notes.
Dr. Dipankar Mandal
Dr. Lucio Mascolo
Dr. Mehdi Hosseini
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.
- tillage operation and harvest
- soil moisture
- crop damage assessment
- crop phenology stage identification
- new processing pipelines in cloud computing framework
- geo-biophysical parameter retrieval approaches
- field experiments
- data fusion and assimilation