Habitat metrics based on multi-temporal Landsat imagery for mapping large mammal habitat

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Habitat metrics based on multi-temporal Landsat imagery for mapping large mammal habitat

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Habitat metrics based on multi-temporal Landsat imagery for mapping large mammal habitat

Popis výsledku anglicky

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

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20705 - Remote sensing

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Remote Sensing in Ecology and Conservation

ISSN

2056-3485

e-ISSN

—

Svazek periodika

6

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

18

Strana od-do

52-69

Kód UT WoS článku

000478292900001

EID výsledku v databázi Scopus

2-s2.0-85082020161