In this section
@article{Tsarouchi:2014:10.1080/01431161.2014.903352,
author = {Tsarouchi, GM and Mijic, A and Moulds, S and Buytaert, W},
doi = {10.1080/01431161.2014.903352},
journal = {International Journal of Remote Sensing},
pages = {3150--3176},
title = {Historical and future land-cover changes in the Upper Ganges basin of India},
url = {http://dx.doi.org/10.1080/01431161.2014.903352},
volume = {35},
year = {2014}
}
TY - JOUR
AB - The green revolution represents one of the greatest environmental changes in India over the last century. The Upper Ganges (UG) basin is experiencing rapid rates of change of land cover and irrigation practices. In this study, we investigated the historical rate of change and created future scenario projections by means of 30 m-resolution multi-temporal Landsat 5 Thematic Mapper and Landsat 7 Enhanced Thematic Mapper Plus data of the UG basin. Post-classification change analysis methods were applied to Landsat images in order to detect and quantify land-cover changes in the UG basin. Subsequently, Markov chain analysis was applied to project future scenarios of land-cover change. Fifteen different scenarios were generated based on historic land-cover change. These scenarios diverged in terms of future projections, highlighting the dynamic nature of the changes. This study has shown that between the years 1984 and 2010 the main land-cover change trends are conversion from shrubs to forest (+4.7%), urbanization (+5.8%), agricultural expansion (+1.3%), and loss of barren land (–9.5%). The land-cover change patterns in the UG basin were mapped and quantified, showing the capability of Landsat data in providing accurate land-cover maps. These results, in combination with those derived from the Markov model, provide the necessary evidence base to support regional land-use planning and develop future-proof water resource management strategies.
AU - Tsarouchi,GM
AU - Mijic,A
AU - Moulds,S
AU - Buytaert,W
DO - 10.1080/01431161.2014.903352
EP - 3176
PY - 2014///
SP - 3150
TI - Historical and future land-cover changes in the Upper Ganges basin of India
T2 - International Journal of Remote Sensing
UR - http://dx.doi.org/10.1080/01431161.2014.903352
VL - 35
ER -
Climate Science
Earth and Life Sciences
Energy and Low-Carbon Futures
Resources and Pollution
Economics and Finance
Health
View all publications and browse by year
Briefing papers and Briefing notes
Grantham Institute Outlooks
Evidence & submission papers
Infographics