Spatio-temporal sensitivity of MODIS land surface temperature anomalies indicates high potential for large-scale land cover change detection in Arctic permafrost landscapes

Bibliographic Details
Published in:Remote Sensing of Environment
Main Authors: Muster, S., Langer, M., Abnizova, A., Young, K.L., Boike, J.
Other Authors: Heinrich Boell Foundation, Helmholtz Association, Natural Sciences and Engineering Research Council, Canadian Federal IPY-NSERC, NRCan
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier BV 2015
Subjects:
Online Access:http://dx.doi.org/10.1016/j.rse.2015.06.017
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spelling crelsevierbv:10.1016/j.rse.2015.06.017 2023-10-01T03:53:25+02:00 Spatio-temporal sensitivity of MODIS land surface temperature anomalies indicates high potential for large-scale land cover change detection in Arctic permafrost landscapes Muster, S. Langer, M. Abnizova, A. Young, K.L. Boike, J. Heinrich Boell Foundation Helmholtz Association Natural Sciences and Engineering Research Council Canadian Federal IPY-NSERC NRCan 2015 http://dx.doi.org/10.1016/j.rse.2015.06.017 https://api.elsevier.com/content/article/PII:S0034425715300481?httpAccept=text/plain https://api.elsevier.com/content/article/PII:S0034425715300481?httpAccept=text/xml en eng Elsevier BV https://www.elsevier.com/tdm/userlicense/1.0/ Remote Sensing of Environment volume 168, page 1-12 ISSN 0034-4257 Computers in Earth Sciences Geology Soil Science journal-article 2015 crelsevierbv https://doi.org/10.1016/j.rse.2015.06.017 2023-09-01T00:21:41Z Article in Journal/Newspaper Arctic permafrost ScienceDirect (Elsevier - via Crossref) Arctic Remote Sensing of Environment 168 1 12
institution Open Polar
collection ScienceDirect (Elsevier - via Crossref)
op_collection_id crelsevierbv
language English
topic Computers in Earth Sciences
Geology
Soil Science
spellingShingle Computers in Earth Sciences
Geology
Soil Science
Muster, S.
Langer, M.
Abnizova, A.
Young, K.L.
Boike, J.
Spatio-temporal sensitivity of MODIS land surface temperature anomalies indicates high potential for large-scale land cover change detection in Arctic permafrost landscapes
topic_facet Computers in Earth Sciences
Geology
Soil Science
author2 Heinrich Boell Foundation
Helmholtz Association
Natural Sciences and Engineering Research Council
Canadian Federal IPY-NSERC
NRCan
format Article in Journal/Newspaper
author Muster, S.
Langer, M.
Abnizova, A.
Young, K.L.
Boike, J.
author_facet Muster, S.
Langer, M.
Abnizova, A.
Young, K.L.
Boike, J.
author_sort Muster, S.
title Spatio-temporal sensitivity of MODIS land surface temperature anomalies indicates high potential for large-scale land cover change detection in Arctic permafrost landscapes
title_short Spatio-temporal sensitivity of MODIS land surface temperature anomalies indicates high potential for large-scale land cover change detection in Arctic permafrost landscapes
title_full Spatio-temporal sensitivity of MODIS land surface temperature anomalies indicates high potential for large-scale land cover change detection in Arctic permafrost landscapes
title_fullStr Spatio-temporal sensitivity of MODIS land surface temperature anomalies indicates high potential for large-scale land cover change detection in Arctic permafrost landscapes
title_full_unstemmed Spatio-temporal sensitivity of MODIS land surface temperature anomalies indicates high potential for large-scale land cover change detection in Arctic permafrost landscapes
title_sort spatio-temporal sensitivity of modis land surface temperature anomalies indicates high potential for large-scale land cover change detection in arctic permafrost landscapes
publisher Elsevier BV
publishDate 2015
url http://dx.doi.org/10.1016/j.rse.2015.06.017
https://api.elsevier.com/content/article/PII:S0034425715300481?httpAccept=text/plain
https://api.elsevier.com/content/article/PII:S0034425715300481?httpAccept=text/xml
geographic Arctic
geographic_facet Arctic
genre Arctic
permafrost
genre_facet Arctic
permafrost
op_source Remote Sensing of Environment
volume 168, page 1-12
ISSN 0034-4257
op_rights https://www.elsevier.com/tdm/userlicense/1.0/
op_doi https://doi.org/10.1016/j.rse.2015.06.017
container_title Remote Sensing of Environment
container_volume 168
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