elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Impressum | Datenschutz | Kontakt | English
Schriftgröße: [-] Text [+]

Forest Biodiversity Monitoring Based on Remotely Sensed Spectral Diversity - A Review

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.

[img] PDF - Verlagsversion (veröffentlichte Fassung)
4MB

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/
Dokumentart:Zeitschriftenbeitrag
Titel:Forest Biodiversity Monitoring Based on Remotely Sensed Spectral Diversity - A Review
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Kacic, PatrickPatrick.Kacic (at) dlr.dehttps://orcid.org/0000-0002-4538-8286NICHT SPEZIFIZIERT
Kuenzer, Claudiaclaudia.kuenzer (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
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

Nur für Mitarbeiter des Archivs: Kontrollseite des Eintrags

Blättern
Suchen
Hilfe & Kontakt
Informationen
electronic library verwendet EPrints 3.3.12
Gestaltung Webseite und Datenbank: Copyright © Deutsches Zentrum für Luft- und Raumfahrt (DLR). Alle Rechte vorbehalten.