globalchange  > 气候变化事实与影响
DOI: 10.1016/j.jag.2015.03.003
Scopus记录号: 2-s2.0-84943522539
论文题名:
New vegetation type map of India prepared using satellite remote sensing: Comparison with global vegetation maps and utilities
作者: Roy P; S; , Behera M; D; , Murthy M; S; R; , Roy A; , Singh S; , Kushwaha S; P; S; , Jha C; S; , Sudhakar S; , Joshi P; K; , Reddy C; S; , Gupta S; , Pujar G; , Dutt C; B; S; , Srivastava V; K; , Porwal M; C; , Tripathi P; , Singh J; S; , Chitale V; , Skidmore A; K; , Rajshekhar G; , Kushwaha D; , Karnatak H; , Saran S; , Giriraj A; , Padalia H; , Kale M; , Nandy S; , Jeganathan C; , Singh C; P; , Biradar C; M; , Pattanaik C; , Singh D; K; , Devagiri G; M; , Talukdar G; , Panigrahy R; K; , Singh H; , Sharma J; R; , Haridasan K; , Trivedi S; , Singh K; P; , Kannan L; , Daniel M; , Misra M; K; , Niphadkar M; , Nagabhatla N; , Prasad N; , Tripathi O; P; , Rama Chandra Prasad P; , Dash P; , Qureshi Q; , Tripathi S; K; , Ramesh B; R; , Gowda B; , Tomar S; , Romshoo S; , Giriraj S; , Ravan S; A; , Behera S; K; , Paul S; , Das A; K; , Ranganath B; K; , Singh T; P; , Sahu T; R; , Shankar U; , Menon A; R; R; , Srivastava G; , Neeti, Sharma S; , Mohapatra U; B; , Peddi A; , Rashid H; , Salroo I; , Hari Krishna P; , Hajra P; K; , Vergheese A; O; , Matin S; , Chaudhary S; A; , Ghosh S; , Lakshmi U; , Rawat D; , Ambastha K; , Malik A; H; , Devi B; S; S; , Sharma K; C; , Mukharjee P; , Sharma A; , Davidar P; , Raju R; R; V; , Katewa S; S; , Kant S; , Raju V; S; , Uniyal B; P; , Debnath B; , Rout D; K; , Thapa R; , Joseph S; , Chhetri P; , Ramachandran R; M
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 39
起始页码: 142
结束页码: 159
语种: 英语
英文关键词: Accuracy assessment ; Climate ; Forest type ; GPS ; Visual interpretation
Scopus关键词: accuracy assessment ; climate ; GPS ; IRS (satellite) ; LISS ; remote sensing ; vegetation mapping ; vegetation type ; India
英文摘要: A seamless vegetation type map of India (scale 1: 50,000) prepared using medium-resolution IRS LISS-III images is presented. The map was created using an on-screen visual interpretation technique and has an accuracy of 90%, as assessed using 15,565 ground control points. India has hitherto been using potential vegetation/forest type map prepared by Champion and Seth in 1968. We characterized and mapped further the vegetation type distribution in the country in terms of occurrence and distribution, area occupancy, percentage of protected area (PA) covered by each vegetation type, range of elevation, mean annual temperature and precipitation over the past 100 years. A remote sensing-amenable hierarchical classification scheme that accommodates natural and semi-natural systems was conceptualized, and the natural vegetation was classified into forests, scrub/shrub lands and grasslands on the basis of extent of vegetation cover. We discuss the distribution and potential utility of the vegetation type map in a broad range of ecological, climatic and conservation applications from global, national and local perspectives. Weused 15,565 ground control points to assess the accuracy of products available globally (i.e., GlobCover, Holdridge's life zone map and potential natural vegetation (PNV) maps). Hence we recommend that the map prepared herein be used widely. This vegetation type map is the most comprehensive one developed for India so far. It was prepared using 23.5m seasonal satellite remote sensing data, field samples and information relating to the biogeography, climate and soil. The digital map is now available through a web portal (http://bis.iirs.gov.in). © 2015 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79613
Appears in Collections:气候变化事实与影响

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作者单位: University Center of Earth and Space Science, University of Hyderabad, Prof. C. R. Rao Road, Gachibouli, Hyderabad, India; Indian Institute of Technology, Kharagpur, West Bengal, India; International Centre for Integrated Mountain Development, G.P.O. Box 3226, Khumaltar, Lalitpur, Kathmandu, Nepal; Indian Institute of Remote Sensing, 4 Kalidas Road, Dehradun, Uttarakhand, India; North Eastern Space Application Center, Umiam, Meghalaya, India; TERI University, New Delhi, India; National Remote Sensing Center, Balanagar, Hyderabad, India; Department of Botany, Banaras Hindu University, Varanasi, India; Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O. Box 217, Enschede, Netherlands; International Water Management Institute, P. O. Box 2075, Colombo, Sri Lanka; CDAC, RMZ Westend Cntr.-3, Westend IT Park, Nagras Rd, Aundh, Pune, Maharashtra, India; BITS Mesra, Ranchi, Jharkhand, India; Space Application Center, Jodhpur Tekra, Ambawadi Vistar P.O., Ahmedabad, Gujarat, India; RRSC, ISITE Campus, Outer Ring Road, Marathahalli, Bangalore, Karnataka, India; College of Forestry, University of Agricultural and Horticultural Sciences Shimoga, Ponnampet, Coorg District, Karnataka, India; Wildlife Institute of India, Post Box #18, Chandrabani, Dehradun, Uttarakhand, India; Arunachal Pradesh Forest Department, Itanagar, Arunachal Pradesh, India; Annamalai University, Annamalai Nagar, Chidambaram, Tamil Nadu, India; MSU, Baroda, Vadodara, Gujarat, India; Berhampur University, Berhampur, Odisha, India; North East Hill University, Umshing Mawkynroh Shillong, Meghalaya, India; IIIT, Old Mumbai Road, Gachibowli, Hyderabad, Telangana, India; International Center for Agricultural Research in Dry Areas (ICARDA), CGIAR, Amman, Jordan; University of Agricultural Sciences, GKVK, Bangalore, India; World Agroforestry Centre (ICRAF), Pusa, New Delhi, India; University of Kashmir, Hazratbal, Srinagar, Jammu and Kashmir, India; UNSPIDER Beijing Office, Beijing, China; National Botanical Research Institute, Sikandarbagh, Rana Pratap Marg, Lucknow, U.P., India; Forestry and GIS Consultant at Louis Berger, Information Technology and Services, New Delhi, India; Assam University, Silchar Assam, India; Symbiosis Institute of Geoinformatics, Model Colony, Pune, India; Hari Singh Gaur University, Sagar, India; GBPIHED, Kosi-katarmal, Almora, Uttarakhand, India; Kerala Forest Research Institute, Peechi P.O., Thrissur District, Kerala, India; North Orissa University, Takatpur, Baripada, Mayurbhanj, Odisha, India; Botanical Survey of India, CGO Comp, M.S.O. Bldg, Bl. F, DF Blk, Sec. I, Salt Lake City, Kolkata, India; R.R.S.C. NBSS and LUP Campus, Amravati Road, Nagpur, Maharashtra, India; MDS University, Ajmer, Rajasthan, India; Calcutta University, 87/1, College Street, Kolkata, West Bengal, India; Department of Ecology and Environmental Sciences, Pondicherry University, Pondicherry, India; SK University, Kadiri - Ananthapur Highway, Kandukuru, Anantapur, Andhra Pradesh, India; Mohanlal Sukhadia University, Udaipur, Rajasthan, India; Jammu University, Jammu, Jammu and Kashmir, India; Kakatia University, Vidyaranyapuri, Hanamkonda, Warangal, Andhra Pradesh, India; CSIR - Institute of Minerals and Materials Technology, Bhubaneswar, Odisha, India; DAMI, Aizawl, Mizoram, India; Faculty, Wildlife Institute of India, Chandrabani, Dehra Dun, India; Assistant Professor of Natural Resource Management, Lincoln University, United States; United Nations University (UNU-INWEH), Institute for Water, Environment and Health, Hamilton, Canada

Recommended Citation:
Roy P,S,, Behera M,et al. New vegetation type map of India prepared using satellite remote sensing: Comparison with global vegetation maps and utilities[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,39
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