Modelling high arctic percent vegetation cover using field digital images and high resolution satellite data

Bibliographic Details
Published in:International Journal of Applied Earth Observation and Geoinformation
Main Authors: Liu, Nanfeng, Treitz, Paul
Other Authors: ArcticNet, Northern Science Training Program, Natural Sciences and Engineering Research Council, Queen’s University, Kingston, Canada
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier BV 2016
Subjects:
Management, Monitoring, Policy and Law
Computers in Earth Sciences
Earth-Surface Processes
Global and Planetary Change
Arctic
Online Access:http://dx.doi.org/10.1016/j.jag.2016.06.023
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spelling crelsevierbv:10.1016/j.jag.2016.06.023 2023-09-26T15:13:54+02:00 Modelling high arctic percent vegetation cover using field digital images and high resolution satellite data Liu, Nanfeng Treitz, Paul ArcticNet Northern Science Training Program Natural Sciences and Engineering Research Council Queen’s University, Kingston, Canada 2016 http://dx.doi.org/10.1016/j.jag.2016.06.023 https://api.elsevier.com/content/article/PII:S0303243416301027?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S0303243416301027?httpAccept=text/plain en eng Elsevier BV https://www.elsevier.com/tdm/userlicense/1.0/ International Journal of Applied Earth Observation and Geoinformation volume 52, page 445-456 ISSN 1569-8432 Management, Monitoring, Policy and Law Computers in Earth Sciences Earth-Surface Processes Global and Planetary Change journal-article 2016 crelsevierbv https://doi.org/10.1016/j.jag.2016.06.023 2023-08-25T08:33:07Z Article in Journal/Newspaper Arctic ScienceDirect (Elsevier - via Crossref) Arctic International Journal of Applied Earth Observation and Geoinformation 52 445 456
institution Open Polar
collection ScienceDirect (Elsevier - via Crossref)
op_collection_id crelsevierbv
language English
topic Management, Monitoring, Policy and Law
Computers in Earth Sciences
Earth-Surface Processes
Global and Planetary Change
spellingShingle Management, Monitoring, Policy and Law
Computers in Earth Sciences
Earth-Surface Processes
Global and Planetary Change
Liu, Nanfeng
Treitz, Paul
Modelling high arctic percent vegetation cover using field digital images and high resolution satellite data
topic_facet Management, Monitoring, Policy and Law
Computers in Earth Sciences
Earth-Surface Processes
Global and Planetary Change
author2 ArcticNet
Northern Science Training Program
Natural Sciences and Engineering Research Council
Queen’s University, Kingston, Canada
format Article in Journal/Newspaper
author Liu, Nanfeng
Treitz, Paul
author_facet Liu, Nanfeng
Treitz, Paul
author_sort Liu, Nanfeng
title Modelling high arctic percent vegetation cover using field digital images and high resolution satellite data
title_short Modelling high arctic percent vegetation cover using field digital images and high resolution satellite data
title_full Modelling high arctic percent vegetation cover using field digital images and high resolution satellite data
title_fullStr Modelling high arctic percent vegetation cover using field digital images and high resolution satellite data
title_full_unstemmed Modelling high arctic percent vegetation cover using field digital images and high resolution satellite data
title_sort modelling high arctic percent vegetation cover using field digital images and high resolution satellite data
publisher Elsevier BV
publishDate 2016
url http://dx.doi.org/10.1016/j.jag.2016.06.023
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geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source International Journal of Applied Earth Observation and Geoinformation
volume 52, page 445-456
ISSN 1569-8432
op_rights https://www.elsevier.com/tdm/userlicense/1.0/
op_doi https://doi.org/10.1016/j.jag.2016.06.023
container_title International Journal of Applied Earth Observation and Geoinformation
container_volume 52
container_start_page 445
op_container_end_page 456
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