Spatio-temporal patterns of land use and cropping frequency in a tropical catchment of South India |
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| Affiliation: | 1. Institut für Geographie, Universität Augsburg, D-86159 Augsburg, Germany;2. Indo-German Centre of Sustainability, Indian Institute of Technology Madras, Chennai 600 036, India;3. Department of Hydrology and Water Resources Management, Institute for Natural Resource Conservation, Kiel University, D-24118 Kiel, Germany;4. Environment and Water Resource Engineering Division, Department of Civil Engineering, Indian Institute of Technology Madras, Chennai 600 036, India;1. IBS-Hyderabad, IFHE University, India;2. Montpellier Business School, France;1. School of Geographic Sciences, Center of Geographic Information Analysis for Public Security, Guangzhou University, China;2. Department of Geography, University of Cincinnati, Cincinnati, OH 45221-0131, USA;3. Center of Integrated Geographic Information Analysis, School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China;4. Guangdong Key Laboratory for Urbanization and Geo-simulation, Guangzhou 510275, China;1. School of Planning, CEPT University, Ahmedabad, India;2. Centre for Transport Studies, Department of Civil Engineering, Faculty of Engineering and the Built Environment, University of Cape Town, Rondebosch 7701, South Africa;3. Department of Urban and Regional Planning and Geo-Information Management, ITC, University of Twente, Enschede, The Netherlands;1. College of Forestry, Southwest Forestry University, Kunming, 650224, China;2. College of Mathematics and Physics, Southwest Forestry University, Kunming, 650224, China;3. Institute of Yunnan Biodiversity, Southwest Forestry University, Kunming, 650224, China;4. Southern Aviation Forest Bureau, State Forestry Administration, Kunming, 650021, China;5. College of Geography, Southwest Forestry University, Kunming, 650224, China;6. Department of Geography, University of California, Santa Barbara, CA, 93117, USA |
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| Abstract: | India's rapid population and economic growth leads to fast changing land use and management practices that have a major impact on the environment. Therefore, this study assesses spatio-temporal dynamics of land use and cropping frequencies using moderate resolution spaceborne data (Landsat 7 and LISS III). Based on a hierarchical knowledge-based classification approach, multi-temporal satellite data from the years 2000/2001 and 2010/2011 have been used to derive land use and cropping frequency maps. The approach adopted in this study resulted in a satisfactory classification quality as indicated by overall accuracies >90% for the individual classifications. A reduced land use pressure on mountainous areas was found, indicated by an increasing development of forests within the transition zones between cultivated land and steep slopes. Furthermore, an increase of tree plantations points to a shift from drought vulnerable plants to less risk prone perennial plants. We found a higher cropping frequency in 2010/11 related to both inter-annual precipitation differences over the course of the rainy season and long-term socio-economic changes. While low yield areas are left for natural succession or switched to tree plantations, the cultivation of high yield areas was intensified. |
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| Keywords: | Land use Cropping frequency Irrigation Tropics South India |
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