Browsing by Author "P.S. Roy"

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Application of landscape ecology and remote sensing for assessment, monitoring and conservation of biodiversity
(2010) J.S. Singh; P.S. Roy; M.S.R. Murthy; C.S. Jha
Landscape ecology, inter alia, addresses the question as to how altered landscape patterns affect the distribution, persistence, and abundance of a species. Landscape ecology plays an important role in integrating the different scales of biodiversity from habitat patch to biome level. Satellite remote sensing technology with multi-sensor capabilities offers multi-scale information on landscape composition and configuration. Advances in geospatial analytical tools and spatial statistics have improved the capability to quantify spatial heterogeneity. Globally, landscape level characterization of biodiversity has become an important discipline of science. Considering the vast extent, heterogeneity, and ecological and economic importance of forest landscapes, significant efforts have been made in India during the past decade to strengthen landscape level biodiversity characterization. The generic frame work of studies comprises preparation of national databases providing information on composition and configuration of different landscapes using multi-scale remote sensing techniques, understanding the landscape patterns using geospatial models to elicit disturbance and diversity patterns and application of this information for bioprospecting and conservation purposes. Studies on hierarchical linkage of multi-scale information to study the processes of change, landscape function, dynamics of habitat fragmentation, invasion, development of network of conservation areas based on the understanding of multi-species responses to landscape mosaics, macro-ecological studies to understand environment and species richness, habitat and species transitions and losses, landscape level solutions to adaptation and mitigation strategies to climate change are a few of the future challenges. The paper presents the current experiences and, analyses in conjunction with international scenario and identifies future challenges of Indian landscape level biodiversity studies. © 2010 Indian Society of Remote Sensing.
New vegetation type map of India prepared using satellite remote sensing: Comparison with global vegetation maps and utilities
(Elsevier B.V., 2015) P.S. Roy; M.D. Behera; M.S.R. Murthy; Arijit Roy; Sarnam Singh; S.P.S. Kushwaha; C.S. Jha; S. Sudhakar; P.K. Joshi; Ch. Sudhakar Reddy; Stutee Gupta; Girish Pujar; C.B.S. Dutt; V.K. Srivastava; M.C. Porwal; Poonam Tripathi; J.S. Singh; Vishwas Chitale; A.K. Skidmore; G. Rajshekhar; Deepak Kushwaha; Harish Karnatak; Sameer Saran; A. Giriraj; Hitendra Padalia; Manish Kale; Subrato Nandy; C. Jeganathan; C.P. Singh; C.M. Biradar; Chiranjibi Pattanaik; D.K. Singh; G.M. Devagiri; Gautam Talukdar; Rabindra K. Panigrahy; Harnam Singh; J.R. Sharma; K. Haridasan; Shivam Trivedi; K.P. Singh; L. Kannan; M. Daniel; M.K. Misra; Madhura Niphadkar; Nidhi Nagabhatla; Nupoor Prasad; O.P. Tripathi; P. Rama Chandra Prasad; Pushpa Dash; Qamer Qureshi; S.K. Tripathi; B.R. Ramesh; Balakrishnan Gowda; Sanjay Tomar; Shakil Romshoo; Shilpa Giriraj; Shirish A. Ravan; Soumit Kumar Behera; Subrato Paul; Ashesh Kumar Das; B.K. Ranganath; T.P. Singh; T.R. Sahu; Uma Shankar; A.R.R. Menon; Gaurav Srivastava; Neeti; Subrat Sharma; U.B. Mohapatra; Ashok Peddi; Humayun Rashid; Irfan Salroo; P. Hari Krishna; P.K. Hajra; A.O. Vergheese; Shafique Matin; Swapnil A. Chaudhary; Sonali Ghosh; Udaya Lakshmi; Deepshikha Rawat; Kalpana Ambastha; Akhtar H. Malik; B.S.S. Devi; K.C. Sharma; Prashant Mukharjee; Ajay Sharma; Priya Davidar; R.R. Venkata Raju; S.S. Katewa; Shashi Kant; Vatsavaya S. Raju; B.P. Uniyal; Bijan Debnath; D.K. Rout; Rajesh Thapa; Shijo Joseph; Pradeep Chhetri; Reshma M. Ramachandran
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.