Gradient-Based Assessment of Habitat Quality for Spectral Ecosystem Monitoring

Remote Sensing

Gabriele Weiss¹  Carsten Neumann²  Maximilian Brell²  Sibylle Itzerott²  Daniel Doktor³  Angela Lausch³  Sebastian Schmidtlein⁴ 

[1] Ecostrat GmbH Berlin, Marschnerstraße 10, Berlin 12203, Germany;Helmholtz Center Potsdam, German Research Center for Geosciences, Telegrafenberg,Potsdam 14473, Germany;Helmholtz Center for Environmental Research-UFZ, Permoserstr 15, Leipzig 04318, Germany;Karlsruhe Institute of Technology (KIT), Institute of Geography and Geoecology, Karlsruhe 76131, Germany;

关键词: Natura 2000;    conservation status;    ordination;    ecological gradients;    imaging spectroscopy;    PLSR;   

DOI  :  10.3390/rs70302871

来源: DOAJ

【 摘 要 】

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. Finally, partial least squares regression (PLSR) was used to relate spectral information from AISA DUAL imagery to floristic pattern and related habitat quality. In general, spectral transferability is supported by strong correlation to ordination axes scores (R2 = 0.79–0.85), whereas second axis of dry heaths (R2 = 0.13) and first axis for pioneer grasslands (R2 = 0.49) are more difficultto describe.

【 授权许可】

Unknown