Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/35467
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dc.contributor.authorMartone, Micheleen_UK
dc.contributor.authorMarino, Armandoen_UK
dc.date.accessioned2023-10-18T00:01:19Z-
dc.date.available2023-10-18T00:01:19Z-
dc.date.issued2023en_UK
dc.identifier.urihttp://hdl.handle.net/1893/35467-
dc.description.abstractFirst Paragraph: 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.en_UK
dc.language.isoenen_UK
dc.publisherMDPI AGen_UK
dc.relationMartone M & Marino A (2023) Editorial for the Special Issue "SAR for Forest Mapping II". <i>Remote Sensing</i>, 15 (18), p. 4376. https://doi.org/10.3390/rs15184376en_UK
dc.rightsCopyright: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0)en_UK
dc.subjectGeneral Earth and Planetary Sciencesen_UK
dc.titleEditorial for the Special Issue "SAR for Forest Mapping II"en_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.3390/rs15184376en_UK
dc.citation.jtitleRemote Sensingen_UK
dc.citation.issn2072-4292en_UK
dc.citation.volume15en_UK
dc.citation.issue18en_UK
dc.citation.spage4376en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.author.emailarmando.marino@stir.ac.uken_UK
dc.citation.date06/09/2023en_UK
dc.contributor.affiliationGerman Aerospace Center (DLR)en_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.identifier.isiwos/woscc/full-record/WOS:001074184400001en_UK
dc.identifier.scopusid2-s2.0-85173000184en_UK
dc.identifier.wtid1937113en_UK
dc.contributor.orcid0000-0002-4601-6599en_UK
dc.contributor.orcid0000-0002-4531-3102en_UK
dc.date.accepted2023-08-28en_UK
dcterms.dateAccepted2023-08-28en_UK
dc.date.filedepositdate2023-10-14en_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorMartone, Michele|0000-0002-4601-6599en_UK
local.rioxx.authorMarino, Armando|0000-0002-4531-3102en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2023-10-14en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/all-rights-reserved|2023-10-14|en_UK
local.rioxx.filenameremotesensing-15-04376.pdfen_UK
local.rioxx.filecount1en_UK
Appears in Collections:Biological and Environmental Sciences Journal Articles

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