New vegetation type map of India prepared using satellite remote sensing: Comparison with global vegetation maps and utilities

被引:149
作者
Roy, P. S. [1 ]
Behera, M. D. [2 ]
Murthy, M. S. R. [3 ]
Roy, Arijit [4 ]
Singh, Sarnam [4 ]
Kushwaha, S. P. S. [4 ]
Jha, C. S. [7 ]
Sudhakar, S. [5 ]
Joshi, P. K. [6 ]
Reddy, Ch. Sudhakar [7 ]
Gupta, Stutee [4 ]
Pujar, Girish [7 ]
Dutt, C. B. S. [7 ]
Srivastava, V. K. [7 ]
Porwal, M. C. [3 ]
Tripathi, Poonam [2 ]
Singh, J. S. [8 ]
Chitale, Vishwas [2 ]
Skidmore, A. K. [9 ]
Rajshekhar, G. [7 ]
Kushwaha, Deepak [4 ]
Karnatak, Harish [4 ]
Saran, Sameer [4 ]
Giriraj, A. [10 ]
Padalia, Hitendra [4 ]
Kale, Manish
Nandy, Subrato [4 ]
Jeganathan, C. [11 ]
Singh, C. P. [12 ]
Biradar, C. M. [4 ,22 ]
Pattanaik, Chiranjibi [7 ]
Singh, D. K. [4 ]
Devagiri, G. M. [14 ]
Talukdar, Gautam [15 ]
Panigrahy, Rabindra K.
Singh, Harnam [4 ]
Sharma, J. R. [7 ]
Haridasan, K. [16 ]
Trivedi, Shivam [13 ]
Singh, K. P. [4 ]
Kannan, L. [17 ]
Daniel, M. [18 ]
Misra, M. K. [19 ]
Niphadkar, Madhura [12 ]
Nagabhatla, Nidhi [48 ]
Prasad, Nupoor [4 ]
Tripathi, O. P. [20 ]
Prasad, P. Rama Chandra [21 ]
Dash, Pushpa [4 ]
Qureshi, Qamer [15 ]
机构
[1] Univ Hyderabad, Univ Ctr Earth & Space Sci, Hyderabad 500046, Andhra Pradesh, India
[2] Indian Inst Technol, Kharagpur 721302, W Bengal, India
[3] Int Ctr Integrated Mt Dev, Kathmandu, Nepal
[4] Indian Inst Remote Sensing, Dehra Dun 248001, Uttarakhand, India
[5] North Eastern Space Applicat Ctr, Umiam 793103, Meghalaya, India
[6] TERI Univ, New Delhi 110070, India
[7] Natl Remote Sensing Ctr, Hyderabad 500037, Andhra Pradesh, India
[8] Banaras Hindu Univ, Dept Bot, Varanasi 221005, Uttar Pradesh, India
[9] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, NL-7500 AE Enschede, Netherlands
[10] Int Water Management Inst, Colombo, Sri Lanka
[11] BITS Mesra, Ranchi 835215, Jharkhand, India
[12] Ctr Space Applicat, Ahmadabad 380015, Gujarat, India
[13] RRSC, Bangalore 560037, Karnataka, India
[14] Univ Agr & Hort Sci Shimoga, Coll Forestry, Ponnampet, Karnataka, India
[15] Wildlife Inst India, Dehra Dun 248001, Uttarakhand, India
[16] Arunachal Pradesh Forest Dept, Itanagar, Arunachal Prade, India
[17] Annamalai Univ, Chidambaram 608002, Tamil Nadu, India
[18] MSU, Vadodara, Gujarat, India
[19] Berhampur Univ, Berhampur 760007, Odisha, India
[20] North East Hill Univ, Umshing Mawkynroh Shillo 793022, Meghalaya, India
[21] IIIT, Hyderabad 500032, Telangana, India
[22] CGIAR, Int Ctr Agr Res Dry Areas, Amman, Jordan
[23] Univ Agr Sci Bangalore, GKVK, Bangalore 560065, Karnataka, India
[24] World Agroforestry Ctr ICRAF, New Delhi 110012, India
[25] Univ Kashmir, Srinagar 190006, Jammu & Kashmir, India
[26] UNSPIDER Beifing Off, Beijing, Peoples R China
[27] Natl Bot Res Inst, Lucknow 226001, Uttar Pradesh, India
[28] Louis Berger, Informat Technol & Serv, New Delhi, India
[29] Assam Univ, Silchar 788011, Assam, India
[30] Symbiosis Inst Geoinformat, Pune, Maharashtra, India
[31] Hari Singh Gaur Univ, Sagar 470113, India
[32] GBPIHED, Almora, Uttarakhand, India
[33] Kerala Forest Res Inst, Peechi 680653, Kerala, India
[34] North Orissa Univ, Mayurbhanj 757003, Odisha, India
[35] Bot Survey India, Kolkata 700064, India
[36] RRSC, Nagpur 440010, Maharashtra, India
[37] MDS Univ, Ajmer, Rajasthan, India
[38] Univ Calcutta, Kolkata 700073, W Bengal, India
[39] Pondicherry Univ, Dept Ecol & Environm Sci, Pondicherry, India
[40] SK Univ, Anantapur 515591, Andhra Pradesh, India
[41] Mohanlal Sukhadia Univ, Udaipur 313001, Rajasthan, India
[42] Univ Jammu, Jammu 180006, Jammu & Kashmir, India
[43] Kakatiya Univ, Warangal 506009, Andhra Pradesh, India
[44] CSIR, Inst Minerals & Mat Technol, Bhubaneswar 751013, Odisha, India
[45] DAMI, Aizawl 796001, Mizoram, India
[46] Wildlife Inst India, Dehra Dun, Uttar Pradesh, India
[47] Lincoln Univ, Nat Resource Management, Lincoln, NE USA
[48] UN Univ UNU INWEH, Inst Water Environm & Hlth, Hamilton, ON L8P 0A1, Canada
关键词
Forest type; Accuracy assessment; Visual interpretation; Climate; GPS; LAND-COVER; CLIMATE-CHANGE; FOREST; GPS; ACCURACY; CLASSIFICATION; PERFORMANCE; DISCOVER; AREA;
D O I
10.1016/j.jag.2015.03.003
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
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. We used 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 23.5 m 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.govin). (C) 2015 Elsevier B.V. All rights reserved.
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页码:142 / 159
页数:18
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