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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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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. |
format | Online Article Text |
id | pubmed-4658575 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
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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