The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XXXVIII-8/W20
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-8/W20, 10–16, 2011
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-8/W20, 10–16, 2011

  31 Aug 2012

31 Aug 2012


P. S. Roy P. S. Roy
  • Indian Institute of Remote Sensing, ISRO, 4, Kalidas Road, Dehradun, India

Keywords: Biodiversity Characterization, landscape, remote sensing, Geographic Information System

Abstract. Explaining the distribution of species and understanding their abundance and spatial distribution at multiple scales using remote sensing and ground based observation have been the central aspect of the meeting of COP10 for achieving CBD 2020 targets. In this respect the Biodiveristy Characterization at Landscape Level for India is a milestone in biodiversity study in this country. Satellite remote sensing has been used to derive the spatial extent and vegetation composition patterns. Sensitivity of different multi-scale landscape metrics, species composition, ecosystem uniqueness and diversity in distribution of biological diversity is assessed through customized landscape analysis software to generate the biological richness surface. The uniqueness of the study lies in the creation of baseline geo-spatial data on vegetation types using multi-temporal satellite remote sensing data (IRS LISS III), deriving biological richness based on spatial landscape analysis and inventory of location specific information about 7964 unique plant species recorded in 20,000 sample plots in India and their status with respect to endemic, threatened and economic/medicinal importance. The results generated will serve as a baseline database for various assessment of the biodiversity for addressing CBD 2020 targets.