Special Issue "SAR for Forest Mapping"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (31 July 2020).
Interests: forest mapping with SAR interferometry (InSAR); forest change detection; SAR raw data quantization; data volume reduction methods for future SAR systems
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Interests: processing of stacks of polarimetric synthetic aperture radar (PolSAR) images for environmental applications, with a special focus on target detection (e.g., ship and iceberg); change detection (e.g., deforestation), and classification (e.g., land cover)
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As a vital natural resource, forests are of extreme importance for all living beings on our planet. They play a key role in controlling climate change, represent an essential source of energy (such as biomass), food, jobs, and livelihoods, and serve as natural habitat to a large variety of animal species, which is essential for biodiversity preservation.
Forest ecosystems are constantly shaped and changed by physical and biological disturbances and eventual regeneration processes. Today, forest degradation is occurring at an alarming rate, often due to illegal anthropogenic activities, such as logging and fires, so that sensitive environments have been irreversibly damaged, with critical environmental and economic consequences at regional as well as at global scale. A precise and efficient assessment and monitoring of the forests resources, treatments, and recreational opportunities is therefore of crucial importance in order to develop early warning systems. In this scenario, synthetic aperture radar (SAR) remote sensing represents a unique technique for providing high-resolution images independently of daylight and almost any weather conditions. In the last few decades, SAR imaging has demonstrated its suitability for forest mapping applications. The combination of the polarimetric, interferometric, and/or tomographic information further increases its capabilities and the achievable product accuracy.
As Guest Editors, we would like to dedicate this Special Issue to documenting SAR-based methods for forest mapping. Well-prepared, unpublished submissions that address one or more of the following topics are solicited:
- New methods and concepts for the quantitative assessment of forest biomass;
- Combination of complementary SAR imaging methods (tomography, polarimetry, interferometry) to define novel approaches, concepts, and applications for forest mapping and monitoring;
- Feasibility studies with new sensors, ranging from drones to spaceborne SAR systems, and their applications to forestry;
- Combined use of multifrequency SAR imaging for forest applications;
- Comparison and benchmarking studies using various sensors and/or processing methods for forestry;
- New approaches for the detection of forest changes;
- Potentials of artificial intelligence-based methods for forest information retrieval;
- Novel methodologies considering the fusion of SAR data with data from other sources.
Mr. Michele Martone
Dr. Armando Marino
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 papers will be 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 2400 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.
- Drone/airborne/spaceborne synthetic aperture radar (SAR)
- Biomass estimation
- Forest mapping
- Change detection
- SAR polarimetry, interferometry, tomography
- Artificial Intelligence for forest applications
- Data fusion of SAR with other sensors