A spatio-temporal land use and land cover reconstruction for India from 1960-2010
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Author(s)
Moulds, Simon
Buytaert, Wouter
Mijic, Ana
Type
Journal Article
Abstract
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.
Date Issued
2018-08-14
Date Acceptance
2018-06-15
Citation
Scientific Data, 2018, 5
ISSN
2052-4463
Publisher
Nature Publishing Group
Journal / Book Title
Scientific Data
Volume
5
Copyright Statement
© The Author(s) 2018. This article is licensed under a Creative Commons Attribution 4.0 Interna-
tional 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 metadatafi
les made available in this article.
tional 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 metadatafi
les made available in this article.
Sponsor
Natural Environment Research Council (NERC)
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/30106391
PII: sdata2018159
Grant Number
NE/N01670/1
Publication Status
Published
Coverage Spatial
England
Article Number
180159