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A spatio-temporal land use and land cover reconstruction for India from 1960–2010
In recent decades India has undergone substantial land use/land cover change as a result of population growth and economic development. Historical land use/land cover maps are necessary to quantify the impact of change at global and regional scales, improve predictions about the quantity and locatio...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6091275/ https://www.ncbi.nlm.nih.gov/pubmed/30106391 http://dx.doi.org/10.1038/sdata.2018.159 |
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author | Moulds, Simon Buytaert, Wouter Mijic, Ana |
author_facet | Moulds, Simon Buytaert, Wouter Mijic, Ana |
author_sort | Moulds, Simon |
collection | PubMed |
description | In recent decades India has undergone substantial land use/land cover change as a result of population growth and economic development. Historical land use/land cover maps are necessary to quantify the impact of change at global and regional scales, improve predictions about the quantity and location of future change and support planning decisions. Here, a regional land use change model driven by district-level inventory data is used to generate an annual time series of high-resolution gridded land use/land cover maps for the Indian subcontinent between 1960–2010. The allocation procedure is based on statistical analysis of the relationship between contemporary land use/land cover and various spatially explicit covariates. A comparison of the simulated map for 1985 against remotely-sensed land use/land cover maps for 1985 and 2005 reveals considerable discrepancy between the simulated and remote sensing maps, much of which arises due to differences in the amount of land use/land cover change between the inventory data and the remote sensing maps. |
format | Online Article Text |
id | pubmed-6091275 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-60912752018-08-24 A spatio-temporal land use and land cover reconstruction for India from 1960–2010 Moulds, Simon Buytaert, Wouter Mijic, Ana Sci Data Data Descriptor In recent decades India has undergone substantial land use/land cover change as a result of population growth and economic development. Historical land use/land cover maps are necessary to quantify the impact of change at global and regional scales, improve predictions about the quantity and location of future change and support planning decisions. Here, a regional land use change model driven by district-level inventory data is used to generate an annual time series of high-resolution gridded land use/land cover maps for the Indian subcontinent between 1960–2010. The allocation procedure is based on statistical analysis of the relationship between contemporary land use/land cover and various spatially explicit covariates. A comparison of the simulated map for 1985 against remotely-sensed land use/land cover maps for 1985 and 2005 reveals considerable discrepancy between the simulated and remote sensing maps, much of which arises due to differences in the amount of land use/land cover change between the inventory data and the remote sensing maps. Nature Publishing Group 2018-08-14 /pmc/articles/PMC6091275/ /pubmed/30106391 http://dx.doi.org/10.1038/sdata.2018.159 Text en Copyright © 2018, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. |
spellingShingle | Data Descriptor Moulds, Simon Buytaert, Wouter Mijic, Ana A spatio-temporal land use and land cover reconstruction for India from 1960–2010 |
title | A spatio-temporal land use and land cover reconstruction for India from 1960–2010 |
title_full | A spatio-temporal land use and land cover reconstruction for India from 1960–2010 |
title_fullStr | A spatio-temporal land use and land cover reconstruction for India from 1960–2010 |
title_full_unstemmed | A spatio-temporal land use and land cover reconstruction for India from 1960–2010 |
title_short | A spatio-temporal land use and land cover reconstruction for India from 1960–2010 |
title_sort | spatio-temporal land use and land cover reconstruction for india from 1960–2010 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6091275/ https://www.ncbi.nlm.nih.gov/pubmed/30106391 http://dx.doi.org/10.1038/sdata.2018.159 |
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