Imperial College London
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ProfessorWouterBuytaert

Faculty of Engineering, Department of Civil and Environmental Engineering

Professor in Hydrology and Water Resources
 
 
 
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Contact

 

+44 (0)20 7594 1329w.buytaert Website

 
 
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Assistant

 

Miss Judith Barritt +44 (0)20 7594 5967

 
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Location

 

403ASkempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Moulds:2018:10.1038/sdata.2018.159,
author = {Moulds, S and Buytaert, W and Mijic, A},
doi = {10.1038/sdata.2018.159},
journal = {Scientific Data},
title = {A spatio-temporal land use and land cover reconstruction for India from 1960-2010},
url = {http://dx.doi.org/10.1038/sdata.2018.159},
volume = {5},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Moulds,S
AU  - Buytaert,W
AU  - Mijic,A
DO  - 10.1038/sdata.2018.159
PY  - 2018///
SN  - 2052-4463
TI  - A spatio-temporal land use and land cover reconstruction for India from 1960-2010
T2  - Scientific Data
UR  - http://dx.doi.org/10.1038/sdata.2018.159
UR  - https://www.ncbi.nlm.nih.gov/pubmed/30106391
UR  - http://hdl.handle.net/10044/1/61847
VL  - 5
ER  -
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