Development of Decadal (1985-1995-2005) Land Use and Land Cover Database for India

India has experienced significant Land-Use and Land-Cover Change (LULCC) over the past few decades. In this context, careful observation and mapping of LULCC using satellite data of high to medium spatial resolution is crucial for understanding the long-term usage patterns of natural resources and facilitating sustainable management to plan, monitor and evaluate development. The present study utilizes the satellite images to generate national level LULC maps at decadal intervals for 1985, 1995 and 2005 using onscreen visual interpretation techniques with minimum mapping unit of 2.5 hectares. These maps follow the classification scheme of the International Geosphere Biosphere Programme (IGBP) to ensure compatibility with other global/regional LULC datasets for comparison and integration. Our LULC maps with more than 90% overall accuracy highlight the changes prominent at regional level, i.e., loss of forest cover in central and northeast India, increase of cropland area in Western India, growth of peri-urban area, and relative increase in plantations. We also found spatial correlation between the cropping area and precipitation, which in turn confirms the monsoon dependent agriculture system in the country. On comparison with the existing global LULC products (GlobCover and MODIS), it can be concluded that our dataset has captured the maximum cumulative patch diversity frequency indicating the detailed representation that can be attributed to the on-screen visual interpretation technique. Comparisons with global LULC products (GlobCover and MODIS) show that our dataset captures maximum landscape diversity, which is partly attributable to the on-screen visual interpretation techniques. We advocate the utility of this database for national and regional studies on land dynamics and climate change research. The database would be updated to 2015 as a continuing effort of this study.

Atul K. Jain | Indranil Mondal | Arijit Roy | Hitendra Padalia | Prasanna Kumar | Krishnan S. Rajan | Pawan K. Joshi | Deepak Kushwaha | Sushil K. Srivastava | M. Ramalingam | Mukunda D. Behera | Vijay K. Srivastava | Poonam Tripathi | Jamuna S. Singh | Manish P. Kale | Gautam Talukdar | O. P. Tripathi | Shafique Matin | Swapnil A. Chaudhary | Reshma M. Ramachandran | V. Chakravarthi | Vishnu Priya | S. K. Srivastava | Sandeep Maithani | Parth S. Roy | Ravi S. Dwevidi | Chitiz Joshi | Prasanth Meiyappan | Yeshu Sharma | Yajnaseni Palchowdhuri | Bhavani Pinjarla | Nani Babu | Mahalakshmi S. Gowsalya | Praveen Thiruvengadam | Mrinalni Kotteeswaran | Krishna Murthy V. N. Yelishetty | Prasad S. Narendra | Sushmita Biswal | Anusheema Chakraborty | Manoj Chavan | Satish N. Pardeshi | Arur Anand | Anjana Vyas | Mruthyunjaya K. Reddy | R. Manonmani | Pritiranjan Behera | Pulakesh Das | Mohammed L. Khan | Jyotihman Deka | V. K. Srivastava | K. Rajan | P. Roy | A. Roy | A. Vyas | S. Maithani | Anusheema Chakraborty | H. Padalia | M. L. Khan | M. D. Behera | P. Das | P. Tripathi | R. Ramachandran | V. Chakravarthi | M. Ramalingam | Prasanth Meiyappan | Prasanna Kumar | Y. Palchowdhuri | P. Behera | O. Tripathi | M. Kale | G. Talukdar | Manoj Chavan | C. Joshi | I. Mondal | D. Kushwaha | S. Matin | V. Priya | J. S. Singh | Yeshu Sharma | P. Thiruvengadam | A. Anand | N. Babu | R. Manonmani | P. Joshi | M. Gowsalya | B. Pinjarla | M. Kotteeswaran | P. Narendra | S. Biswal | Mruthyunjaya K. Reddy | J. Deka | Sushmita Biswal | Swapnil Chaudhari | Chitiz Joshi

[1]  J. E. AkshaySagar APPLICATION OF GIS IN WATER i NETWORKING WITH LAND USE AND LAND COVER ANALYSIS , 2017 .

[2]  K. Seto,et al.  Urbanization and agricultural land loss in India: comparing satellite estimates with census data. , 2015, Journal of environmental management.

[3]  Christopher E. Soulard,et al.  Recent land-use/land-cover change in the Central California Valley , 2015 .

[4]  Sameer Saran,et al.  Biodiversity Characterisation at Landscape level - National Assessment , 2015 .

[5]  Vinay Kumar Dadhwal,et al.  History of land use in India during 1880–2010: Large-scale land transformations reconstructed from satellite data and historical archives , 2014, GPC 2014.

[6]  Gregory N. Taff,et al.  Using satellite data to monitor land-use land-cover change in North-eastern Latvia , 2014, SpringerPlus.

[7]  Ioannis Manakos,et al.  Land Use and Land Cover Mapping in Europe: Practices & Trends , 2014 .

[8]  R. Houghton The emissions of carbon from deforestation and degradation in the tropics: past trends and future potential , 2013 .

[9]  Milap Punia,et al.  Comparison of MODIS derived land use and land cover with Ministry of Agriculture reported statistics for India , 2013 .

[10]  Corinne Le Quéré,et al.  Carbon emissions from land use and land-cover change , 2012 .

[11]  Yaolong Zhao,et al.  Examining Land-Use/Land-Cover Change in the Lake Dianchi Watershed of the Yunnan-Guizhou Plateau of Southwest China with Remote Sensing and GIS Techniques: 1974-2008 , 2012, International journal of environmental research and public health.

[12]  N. Gilbert India’s forest area in doubt , 2012, Nature.

[13]  Kuldeep Pareta,et al.  Integrated watershed modeling and characterization using GIS and remote sensing techniques , 2012 .

[14]  R. Betts,et al.  Land use/land cover changes and climate: modeling analysis and observational evidence , 2011 .

[15]  S. Carpenter,et al.  Solutions for a cultivated planet , 2011, Nature.

[16]  A. Balmford,et al.  Reconciling Food Production and Biodiversity Conservation: Land Sharing and Land Sparing Compared , 2011, Science.

[17]  Atiqur Rahman,et al.  Monitoring Urban Sprawl Using Remote Sensing and GIS Techniques of a Fast Growing Urban Centre, India , 2011, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[18]  H. Gowda Generation of Water Resources Action Plan for Medak Nala Watershed in India Using Remote Sensing and GIS Technologies , 2011 .

[19]  Assessing urbanization patterns over India using temporal DMSP – OLS night-time satellite data , 2011 .

[20]  Yang Yang,et al.  Remote Sensing of Irrigated Agriculture: Opportunities and Challenges , 2010, Remote. Sens..

[21]  Damien Sulla-Menashe,et al.  MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets , 2010 .

[22]  Tiho Ancev,et al.  Improving the Accuracy of Land Use and Land Cover Classification of Landsat Data Using Post-Classification Enhancement , 2009, Remote. Sens..

[23]  Yuanjie Li,et al.  Irrigated Area Maps and Statistics of India Using Remote Sensing and National Statistics , 2009, Remote. Sens..

[24]  Partha Sarathi Roy,et al.  Land use land cover classification of Orissa using multi-temporal IRS-P6 awifs data: A decision tree approach , 2008, Int. J. Appl. Earth Obs. Geoinformation.

[25]  Christelle Vancutsem,et al.  GlobCover: ESA service for global land cover from MERIS , 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

[26]  Sarnam Singh,et al.  Biome mapping in India using vegetation type map derived using temporal satellite data and environmental parameters , 2006 .

[27]  Shefali Agrawal,et al.  Vegetation cover mapping in India using multi-temporal IRS Wide Field Sensor (WiFS) data , 2006 .

[28]  Werner Eugster,et al.  Historical land use changes and mesoscale summer climate on the Swiss Plateau , 2005 .

[29]  A. Belward,et al.  GLC2000: a new approach to global land cover mapping from Earth observation data , 2005 .

[30]  J. Rogan,et al.  Remote sensing technology for mapping and monitoring land-cover and land-use change , 2004 .

[31]  F. Achard,et al.  Determination of Deforestation Rates of the World's Humid Tropical Forests , 2002, Science.

[32]  Y. P. Abrol,et al.  Land use-- historical perspectives : focus on Indo-Gangetic Plains , 2002 .

[33]  Timothy Evans,et al.  A Review and Assessment of Land-Use Change Models Dynamics of Space, Time, and Human Choice , 2002 .

[34]  J. W. Bruce,et al.  The causes of land-use and land-cover change: moving beyond the myths , 2001 .

[35]  Land use indicators of a watershed in arid region, western Rajasthan using Remote Sensing and GIS , 2001 .

[36]  S. Carpenter,et al.  Human Impact on Erodable Phosphorus and Eutrophication: A Global Perspective , 2001 .

[37]  J. Cihlar Land cover mapping of large areas from satellites: Status and research priorities , 2000 .

[38]  J. Townshend,et al.  Global land cover classi(cid:142) cation at 1 km spatial resolution using a classi(cid:142) cation tree approach , 2004 .

[39]  Wcd Dams and development: A new framework for decision-making , 2000 .

[40]  A. M. Dixit,et al.  A quantitative analysis of plant use as a component of EIA: case of Narmada Sagar hydroelectric project in central India. , 2000 .

[41]  Russell G. Congalton,et al.  Assessing the accuracy of remotely sensed data : principles and practices , 1998 .

[42]  Kamaljit S. Bawa,et al.  DEFORESTATION IN THE TROPICS : RECONCILING DISPARITIES IN ESTIMATES FOR INDIA , 1998 .

[43]  C. Tucker,et al.  Increased plant growth in the northern high latitudes from 1981 to 1991 , 1997, Nature.

[44]  Thomas R. Loveland,et al.  The IGBP-DIS global 1 km land cover data set , 1997 .

[45]  R. Nagaraja,et al.  IRS-1C APPLICATIONS IN LAND USE MAPPING AND PLANNING , 1996 .

[46]  J. Townshend,et al.  Global discrimination of land cover types from metrics derived from AVHRR pathfinder data , 1995 .

[47]  Ramakrishna R. Nemani,et al.  A remote sensing based vegetation classification logic for global land cover analysis , 1995 .

[48]  Thomas R. Loveland,et al.  USING MULTISOURCE DATA IN GLOBAL LAND-COVER CHARACTERIZATION: CONCEPTS, REQUIREMENTS, AND METHODS , 1993 .

[49]  Russell G. Congalton,et al.  A review of assessing the accuracy of classifications of remotely sensed data , 1991 .

[50]  D. Rao,et al.  IRS-1A application for land use/land cover mapping in India , 1991 .

[51]  J R Anderson LAND - USE CLASSIFICATION SCHEMES , 1971 .