He, Kate S. and Bradley, Bethany A. and Cord, Anna and Rocchini, Duccio and Tuanmu, Mao-Ning and Schmidtlein, Sebastian and Turner, Woody and Wegmann, Martin and Pettorelli, Nathalie (2015) Will remote sensing shape the next generation of species distribution models? Remote Sensing in Ecology and Conservation, 1 (1), pp. 4-18. Wiley. doi: 10.1002/rse2.7. ISSN 2056-3485.
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Official URL: http://dx.doi.org/10.1002/rse2.7
Abstract
Two prominent limitations of species distribution models (SDMs) are spatial biases in existing occurrence data and a lack of spatially explicit predictor variables to fully capture habitat characteristics of species. Can existing and emerging remote sensing technologies meet these challenges and improve future SDMs? We believe so. Novel products derived from multispectral and hyperspectral sensors, as well as future Light Detection and Ranging (LiDAR) and RADAR missions, may play a key role in improving model performance. In this perspective piece, we demonstrate how modern sensors onboard satellites, planes and unmanned aerial vehicles are revolutionizing the way we can detect and monitor both plant and animal species in terrestrial and aquatic ecosystems as well as allowing the emergence of novel predictor variables appropriate for species distribution modeling. We hope this interdisciplinary perspective will motivate ecologists, remote sensing experts and modelers to work together for developing a more refined SDM framework in the near future.
Item URL in elib: | https://elib.dlr.de/104480/ | ||||||||||||||||||||||||||||||
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Document Type: | Article | ||||||||||||||||||||||||||||||
Title: | Will remote sensing shape the next generation of species distribution models? | ||||||||||||||||||||||||||||||
Authors: |
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Date: | 2015 | ||||||||||||||||||||||||||||||
Journal or Publication Title: | Remote Sensing in Ecology and Conservation | ||||||||||||||||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||||||||||||||||
Open Access: | Yes | ||||||||||||||||||||||||||||||
Gold Open Access: | No | ||||||||||||||||||||||||||||||
In SCOPUS: | Yes | ||||||||||||||||||||||||||||||
In ISI Web of Science: | Yes | ||||||||||||||||||||||||||||||
Volume: | 1 | ||||||||||||||||||||||||||||||
DOI: | 10.1002/rse2.7 | ||||||||||||||||||||||||||||||
Page Range: | pp. 4-18 | ||||||||||||||||||||||||||||||
Publisher: | Wiley | ||||||||||||||||||||||||||||||
ISSN: | 2056-3485 | ||||||||||||||||||||||||||||||
Status: | Published | ||||||||||||||||||||||||||||||
Keywords: | species distribution models (SDMs), multi-scale | ||||||||||||||||||||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||||||||||||
HGF - Program: | Space | ||||||||||||||||||||||||||||||
HGF - Program Themes: | Earth Observation | ||||||||||||||||||||||||||||||
DLR - Research area: | Raumfahrt | ||||||||||||||||||||||||||||||
DLR - Program: | R EO - Earth Observation | ||||||||||||||||||||||||||||||
DLR - Research theme (Project): | R - Geoscientific remote sensing and GIS methods | ||||||||||||||||||||||||||||||
Location: | Oberpfaffenhofen | ||||||||||||||||||||||||||||||
Institutes and Institutions: | German Remote Sensing Data Center | ||||||||||||||||||||||||||||||
Deposited By: | Wöhrl, Monika | ||||||||||||||||||||||||||||||
Deposited On: | 28 Jun 2016 11:35 | ||||||||||||||||||||||||||||||
Last Modified: | 19 Nov 2021 20:34 |
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