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Editorial for the Special Issue 'SAR for Forest Mapping II'

Martone, Michele and Marino, Armando (2023) Editorial for the Special Issue 'SAR for Forest Mapping II'. Remote Sensing, 15 (184376). Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs15184376. ISSN 2072-4292.

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Official URL: https://www.mdpi.com/2072-4292/15/18/4376


As vital natural resources, forests are of extreme importance for all living beings on our planet. They play a key role in controlling climate change; represent essential sources of energy (e.g., biomass), food, jobs, and livelihoods; and serve as a 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. As an example, forest degradation is currently occurring at an alarming rate, and it often occurs due to illegal anthropogenic activities such as logging and fires. Sensitive environments have been irreversibly damaged, with critical environmental and economic consequences at regional as well as global scales. Precise and efficient assessment and monitoring of forest resources, treatments, and recreational opportunities are therefore of crucial importance in order to develop early warning systems. In this scenario, synthetic aperture radar (SAR) remote sensing represents a unique technique to provide high-resolution images independently of daylight and in almost any weather conditions. In the past few decades, SAR imaging has demonstrated its suitability for forest mapping applications. The combination of polarimetric, interferometric, and/or tomographic information further increases its capabilities and its products' accuracy. This Special Issue consists of nine research papers, which investigate several aspects related to forest parameter estimation and retrieval using SAR-based methods, such as the mapping of forest cover, above-ground biomass (AGB), and growing stem volume (GSV), as well as forest height inversion, forest structure characterization, the estimation of phenological changes, and damages in drought-affected forests using SAR data time series. All the methods proposed in these papers were validated using real SAR data and benchmarked with state-of-the-art approaches, thus comprehensively demonstrating the theoretical and practical contributions of the research.

Item URL in elib:https://elib.dlr.de/197533/
Document Type:Article
Additional Information:Editorial Published in Remote Sensing MDPI
Title:Editorial for the Special Issue 'SAR for Forest Mapping II'
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Martone, MicheleUNSPECIFIEDhttps://orcid.org/0000-0002-4601-6599UNSPECIFIED
Date:6 September 2023
Journal or Publication Title:Remote Sensing
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Series Name:Special Issue “SAR for Forest Mapping II”
Keywords:Synthetic Aperture Radar (SAR), Forest mapping
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research, R - SAR methods
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Spaceborne SAR Systems
Deposited By: Martone, Michele
Deposited On:25 Sep 2023 10:52
Last Modified:18 Oct 2023 15:26

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