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Spatial Algorithms Applied to Landscape Diversity Estimate from Remote Sensing Data

Rocchini, Duccio and Balkenhol, Niko and Delucci, Luca and Ghisla, Anne and Hauffe, Heidi C. and Imre, Attila R. and Jordán, Ferenc and Nagendra, Harini and Neale, David and Ricotta, Carlo and Varotto, Claudio and Vernesi, Cristiano and Wegmann, Martin and Wolgemuth, Thomas and Neteler, Markus (2012) Spatial Algorithms Applied to Landscape Diversity Estimate from Remote Sensing Data. In: Models of the Ecological Hierarchy: From Molecules to the Ecosphere. Elsevier. pp. 391-411. ISBN 978-0444593962. ISSN 0167-8892

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Abstract

The causal relationship between species diversity and environmental (landscape) heterogeneity has been a long-lasting interest among ecologists. In fact, environmental heterogeneity is considered to be one of the main factors associated with biodiversity given that areas with higher environmental heterogeneity can host more species due to their higher number of available niches. In particular, entropy (also referred to as “heterogeneity”) measured by the spatial variation of remotely sensed spectral signals has been proposed as a proxy for species diversity. The aim of this book chapter is to review the main spatial algorithms for measuring landscape heterogeneity based on remote sensing.

Item URL in elib:https://elib.dlr.de/91670/
Document Type:Book Section
Title:Spatial Algorithms Applied to Landscape Diversity Estimate from Remote Sensing Data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Rocchini, DuccioUNSPECIFIEDUNSPECIFIED
Balkenhol, NikoUNSPECIFIEDUNSPECIFIED
Delucci, LucaUNSPECIFIEDUNSPECIFIED
Ghisla, AnneUNSPECIFIEDUNSPECIFIED
Hauffe, Heidi C.UNSPECIFIEDUNSPECIFIED
Imre, Attila R.KSKI Atomic Energy Research Institute, BudapestUNSPECIFIED
Jordán, FerencUNSPECIFIEDUNSPECIFIED
Nagendra, HariniUNSPECIFIEDUNSPECIFIED
Neale, DavidUNSPECIFIEDUNSPECIFIED
Ricotta, CarloUNSPECIFIEDUNSPECIFIED
Varotto, ClaudioUNSPECIFIEDUNSPECIFIED
Vernesi, CristianoUNSPECIFIEDUNSPECIFIED
Wegmann, Martinmartin.wegmann (at) uni-wuerzburg.deUNSPECIFIED
Wolgemuth, ThomasUNSPECIFIEDUNSPECIFIED
Neteler, MarkusUNSPECIFIEDUNSPECIFIED
Date:2012
Journal or Publication Title:Models of the Ecological Hierarchy: From Molecules to the Ecosphere.
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:25
Page Range:pp. 391-411
Editors:
EditorsEmail
Jordán, F.UNSPECIFIED
Jorgensen, S. E.UNSPECIFIED
Publisher:Elsevier
ISSN:0167-8892
ISBN:978-0444593962
Status:Published
Keywords:Landscape heterogeneity; Free and open source; Software; Remote sensing; Spatial algorithms; Species diversity
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Wöhrl, Monika
Deposited On:12 Dec 2014 14:51
Last Modified:12 Dec 2014 14:51

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