Next Article in Journal
Dynamics of Land Cover/Land Use Changes in the Mekong Delta, 1973–2011: A Remote Sensing Analysis of the Tran Van Thoi District, Ca Mau Province, Vietnam
Next Article in Special Issue
Mapping Natura 2000 Habitat Conservation Status in a Pannonic Salt Steppe with Airborne Laser Scanning
Previous Article in Journal
A New Global Climatology of Annual Land Surface Temperature
Previous Article in Special Issue
Classification of Herbaceous Vegetation Using Airborne Hyperspectral Imagery
Article Menu

Export Article

Open AccessArticle
Remote Sens. 2015, 7(3), 2871-2898; doi:10.3390/rs70302871

Gradient-Based Assessment of Habitat Quality for Spectral Ecosystem Monitoring

1
Helmholtz Center Potsdam, German Research Center for Geosciences, Telegrafenberg, Potsdam 14473, Germany
2
Ecostrat GmbH Berlin, Marschnerstraße 10, Berlin 12203, Germany
3
Karlsruhe Institute of Technology (KIT), Institute of Geography and Geoecology, Karlsruhe 76131, Germany
4
Helmholtz Center for Environmental Research-UFZ, Permoserstr 15, Leipzig 04318, Germany
*
Author to whom correspondence should be addressed.
Academic Editors: Norbert Pfeifer, András Zlinszky, Hermann Heilmeier, Heiko Balzter, Bernhard Höfle, Bálint Czúcz and Prasad S. Thenkabail
Received: 30 November 2014 / Revised: 2 March 2015 / Accepted: 4 March 2015 / Published: 10 March 2015
(This article belongs to the Special Issue Remote Sensing and GIS for Habitat Quality Monitoring)
View Full-Text   |   Download PDF [11842 KB, uploaded 10 March 2015]   |  

Abstract

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 difficult to describe. View Full-Text
Keywords: Natura 2000; conservation status; ordination; ecological gradients; imaging spectroscopy; PLSR Natura 2000; conservation status; ordination; ecological gradients; imaging spectroscopy; PLSR
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Supplementary materials

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Neumann, C.; Weiss, G.; Schmidtlein, S.; Itzerott, S.; Lausch, A.; Doktor, D.; Brell, M. Gradient-Based Assessment of Habitat Quality for Spectral Ecosystem Monitoring. Remote Sens. 2015, 7, 2871-2898.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top