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Mapping dominant annual land cover from 2009 to 2013 across Victoria, Australia using satellite imagery

There is a demand for regularly updated, broad-scale, accurate land cover information in Victoria from multiple stakeholders. This paper documents the methods used to generate an annual dominant land cover (DLC) map for Victoria, Australia from 2009 to 2013. Vegetation phenology parameters derived f...

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Detalles Bibliográficos
Autores principales: Sheffield, Kathryn, Morse-McNabb, Elizabeth, Clark, Rob, Robson, Susan, Lewis, Hayden
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4658575/
https://www.ncbi.nlm.nih.gov/pubmed/26602009
http://dx.doi.org/10.1038/sdata.2015.69
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author Sheffield, Kathryn
Morse-McNabb, Elizabeth
Clark, Rob
Robson, Susan
Lewis, Hayden
author_facet Sheffield, Kathryn
Morse-McNabb, Elizabeth
Clark, Rob
Robson, Susan
Lewis, Hayden
author_sort Sheffield, Kathryn
collection PubMed
description There is a demand for regularly updated, broad-scale, accurate land cover information in Victoria from multiple stakeholders. This paper documents the methods used to generate an annual dominant land cover (DLC) map for Victoria, Australia from 2009 to 2013. Vegetation phenology parameters derived from an annual time series of the Moderate Resolution Imaging Spectroradiometer Vegetation Indices 16-day 250 m (MOD13Q1) product were used to generate annual DLC maps, using a three-tiered hierarchical classification scheme. Classification accuracy at the broadest (primary) class level was over 91% for all years, while it ranged from 72 to 81% at the secondary class level. The most detailed class level (tertiary) had accuracy levels ranging from 61 to 68%. The approach used was able to accommodate variable climatic conditions, which had substantial impacts on vegetation growth patterns and agricultural production across the state between both regions and years. The production of an annual dataset with complete spatial coverage for Victoria provides a reliable base data set with an accuracy that is fit-for-purpose for many applications.
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spelling pubmed-46585752015-12-02 Mapping dominant annual land cover from 2009 to 2013 across Victoria, Australia using satellite imagery Sheffield, Kathryn Morse-McNabb, Elizabeth Clark, Rob Robson, Susan Lewis, Hayden Sci Data Data Descriptor There is a demand for regularly updated, broad-scale, accurate land cover information in Victoria from multiple stakeholders. This paper documents the methods used to generate an annual dominant land cover (DLC) map for Victoria, Australia from 2009 to 2013. Vegetation phenology parameters derived from an annual time series of the Moderate Resolution Imaging Spectroradiometer Vegetation Indices 16-day 250 m (MOD13Q1) product were used to generate annual DLC maps, using a three-tiered hierarchical classification scheme. Classification accuracy at the broadest (primary) class level was over 91% for all years, while it ranged from 72 to 81% at the secondary class level. The most detailed class level (tertiary) had accuracy levels ranging from 61 to 68%. The approach used was able to accommodate variable climatic conditions, which had substantial impacts on vegetation growth patterns and agricultural production across the state between both regions and years. The production of an annual dataset with complete spatial coverage for Victoria provides a reliable base data set with an accuracy that is fit-for-purpose for many applications. Nature Publishing Group 2015-11-24 /pmc/articles/PMC4658575/ /pubmed/26602009 http://dx.doi.org/10.1038/sdata.2015.69 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse.
spellingShingle Data Descriptor
Sheffield, Kathryn
Morse-McNabb, Elizabeth
Clark, Rob
Robson, Susan
Lewis, Hayden
Mapping dominant annual land cover from 2009 to 2013 across Victoria, Australia using satellite imagery
title Mapping dominant annual land cover from 2009 to 2013 across Victoria, Australia using satellite imagery
title_full Mapping dominant annual land cover from 2009 to 2013 across Victoria, Australia using satellite imagery
title_fullStr Mapping dominant annual land cover from 2009 to 2013 across Victoria, Australia using satellite imagery
title_full_unstemmed Mapping dominant annual land cover from 2009 to 2013 across Victoria, Australia using satellite imagery
title_short Mapping dominant annual land cover from 2009 to 2013 across Victoria, Australia using satellite imagery
title_sort mapping dominant annual land cover from 2009 to 2013 across victoria, australia using satellite imagery
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4658575/
https://www.ncbi.nlm.nih.gov/pubmed/26602009
http://dx.doi.org/10.1038/sdata.2015.69
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