GC12A-04
Dynamics of land change in India: a fine-scale spatial analysis

Monday, 14 December 2015: 11:12
3003 (Moscone West)
Prasanth Meiyappan1, Parth Sarathi Roy2, Yeshu Sharma3, Atul K Jain1, Reshma Ramachandran2 and Pawan Kumar Joshi4, (1)University of Illinois at Urbana Champaign, Urbana, IL, United States, (2)University of Hyderabad, University Center for Earth and Space Science, Hyderabad, India, (3)International Institute of Information Technology, Lab for Spatial Informatics, Hyderabad, India, (4)Jawaharlal Nehru University, School of Environmental Sciences, New Delhi, India
Abstract:
Land is scarce in India: India occupies 2.4% of worlds land area, but supports over 1/6th of worlds human and livestock population. This high population to land ratio, combined with socioeconomic development and increasing consumption has placed tremendous pressure on India’s land resources for food, feed, and fuel.

In this talk, we present contemporary (1985 to 2005) spatial estimates of land change in India using national-level analysis of Landsat imageries. Further, we investigate the causes of the spatial patterns of change using two complementary lines of evidence. First, we use statistical models estimated at macro-scale to understand the spatial relationships between land change patterns and their concomitant drivers. This analysis using our newly compiled extensive socioeconomic database at village level (~630,000 units), is 100x higher in spatial resolution compared to existing datasets, and covers over 200 variables. The detailed socioeconomic data enabled the fine-scale spatial analysis with Landsat data. Second, we synthesized information from over 130 survey based case studies on land use drivers in India to complement our macro-scale analysis. The case studies are especially useful to identify unobserved variables (e.g. farmer’s attitude towards risk). Ours is the most detailed analysis of contemporary land change in India, both in terms of national extent, and the use of detailed spatial information on land change, socioeconomic factors, and synthesis of case studies.