Kacic, Patrick und Kuenzer, Claudia (2022) Forest Biodiversity Monitoring Based on Remotely Sensed Spectral Diversity - A Review. Remote Sensing, 14, Seiten 1-32. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs14215363. ISSN 2072-4292.
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Offizielle URL: https://www.mdpi.com/2072-4292/14/21/5363
Kurzfassung
Forests are essential for global environmental well-being because of their rich provision of ecosystem services and regulating factors. Global forests are under increasing pressure from climate change, resource extraction, and anthropologically-driven disturbances. The results are dramatic losses of habitats accompanied with the reduction of species diversity. There is the urgent need for forest biodiversity monitoring comprising analysis on alpha, beta, and gamma scale to identify hotspots of biodiversity. Remote sensing enables large-scale monitoring at multiple spatial and temporal resolutions. Concepts of remotely sensed spectral diversity have been identified as promising methodologies for the consistent and multi-temporal analysis of forest biodiversity. This review provides a first time focus on the three spectral diversity concepts vegetation indices, spectral information content, and spectral species for forest biodiversity monitoring based on airborne and spaceborne remote sensing. In addition, the reviewed articles are analyzed regarding the spatiotemporal distribution, remote sensing sensors, temporal scales and thematic foci. We identify multispectral sensors as primary data source which underlines the focus on optical diversity as a proxy for forest biodiversity. Moreover, there is a general conceptual focus on the analysis of spectral information content. In recent years, the spectral species concept has raised attention and has been applied to Sentinel-2 and MODIS data for the analysis from local spectral species to global spectral communities. Novel remote sensing processing capacities and the provision of complementary remote sensing data sets offer great potentials for large-scale biodiversity monitoring in the future.
elib-URL des Eintrags: | https://elib.dlr.de/189471/ | ||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||
Titel: | Forest Biodiversity Monitoring Based on Remotely Sensed Spectral Diversity - A Review | ||||||||||||
Autoren: |
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Datum: | 26 Oktober 2022 | ||||||||||||
Erschienen in: | Remote Sensing | ||||||||||||
Referierte Publikation: | Ja | ||||||||||||
Open Access: | Ja | ||||||||||||
Gold Open Access: | Ja | ||||||||||||
In SCOPUS: | Ja | ||||||||||||
In ISI Web of Science: | Ja | ||||||||||||
Band: | 14 | ||||||||||||
DOI: | 10.3390/rs14215363 | ||||||||||||
Seitenbereich: | Seiten 1-32 | ||||||||||||
Verlag: | Multidisciplinary Digital Publishing Institute (MDPI) | ||||||||||||
ISSN: | 2072-4292 | ||||||||||||
Status: | veröffentlicht | ||||||||||||
Stichwörter: | forest biodiversity alpha diversity beta diversity gamma diversity spectral variation hypothesis spectral diversity optical diversity satellite data remote sensing | ||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||
HGF - Programmthema: | Erdbeobachtung | ||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||
DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Fernerkundung u. Geoforschung | ||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||
Institute & Einrichtungen: | Deutsches Fernerkundungsdatenzentrum > Dynamik der Landoberfläche | ||||||||||||
Hinterlegt von: | Kacic, Patrick | ||||||||||||
Hinterlegt am: | 07 Nov 2022 10:25 | ||||||||||||
Letzte Änderung: | 28 Mär 2023 11:53 |
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