Habitat metrics based on multi-temporal Landsat imagery for mapping large mammal habitat
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F20%3A80893" target="_blank" >RIV/60460709:41320/20:80893 - isvavai.cz</a>
Result on the web
<a href="https://zslpublications.onlinelibrary.wiley.com/doi/10.1002/rse2.122" target="_blank" >https://zslpublications.onlinelibrary.wiley.com/doi/10.1002/rse2.122</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/rse2.122" target="_blank" >10.1002/rse2.122</a>
Alternative languages
Result language
angličtina
Original language name
Habitat metrics based on multi-temporal Landsat imagery for mapping large mammal habitat
Original language description
Up-to-date and fine-scale habitat information is essential for managing and conserving wildlife. Studies assessing wildlife habitat commonly rely on categorical land-cover maps as predictors in habitat models. However, broad land-cover categories often do not adequately capture key habitat features and generating robust land-cover maps is challenging and laborious. Continuous variables derived directly from satellite imagery provide an alternative for capturing land-cover characteristics in habitat models. Improved data availability and processing capacities now allow integrating all available images from medium-resolution sensors in compositing approaches that derive spectral-temporal metrics at the pixel level, summarizing spectral responses over time. In this study, we assessed the usefulness of such metrics derived from Landsat imagery for mapping wildlife habitat. We categorize spectral-temporal metrics into habitat metrics characterizing different aspects of wildlife habitat. Comparing the perf
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20705 - Remote sensing
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Remote Sensing in Ecology and Conservation
ISSN
2056-3485
e-ISSN
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Volume of the periodical
6
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
18
Pages from-to
52-69
UT code for WoS article
000478292900001
EID of the result in the Scopus database
2-s2.0-85082020161