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Gradient-based assessment of habitat quality for spectral ecosystem monitoring

Neumann, Carsten; Weiss, Gabriele; Schmidtlein, Sebastian ORCID iD icon 1; Itzerott, Sibylle; Lausch, Angela; Doktor, Daniel; Brell, Maximilian
1 Institut für Geographie und Geoökologie (IFGG), Karlsruher Institut für Technologie (KIT)


The monitoring of ecosystems alterations has become a crucial task in order to develop valuable habitats for rare and threatened species. The information extracted from hyperspectral remote sensing data enables the generation of highly spatially resolved analyses of such species’ habitats. In our study we combine information from a species ordination with hyperspectral reflectance signatures to predict occurrence probabilities for Natura 2000 habitat types and their conservation status. We examine how accurate habitat types and habitat threat, expressed by pressure indicators, can be described in an ordination space using spatial correlation functions from the geostatistic approach. We modeled habitat quality assessment parameters using floristic gradients derived by non-metric multidimensional scaling on the basis of 58 field plots. In the resulting ordination space, the variance structure of habitat types and pressure indicators could be explained by 69% up to 95% with fitted variogram models with a correlation to terrestrial mapping of >0.8. Models could be used to predict habitat type probability, habitat transition, and pressure indicators continuously over the whole ordination space. ... mehr

Volltext §
DOI: 10.5445/IR/1000059676
DOI: 10.3390/rs70302871
Zitationen: 34
Web of Science
Zitationen: 31
Zitationen: 36
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Geographie und Geoökologie (IFGG)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2015
Sprache Englisch
Identifikator ISSN: 2072-4292
KITopen-ID: 1000059676
Erschienen in Remote sensing
Verlag MDPI
Band 7
Heft 3
Seiten 2871-2898
Schlagwörter Natura 2000, conservation status, ordination, ecological gradients, imaging spectroscopy, PLSR
Nachgewiesen in Dimensions
Web of Science
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