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Bodi Surya Pratap Chandra Kishore,Amit Kumar,Purabi Saikia,Nikhil Lele,Arvind Chandra Pandey,Parul Srivastava,Bimal Kumar Bhattacharya,Mohamed Latif Khan 국립중앙과학관 2020 Journal of Asia-Pacific Biodiversity Vol.13 No.4
The present study focused on forest type classification and major plant species assemblages in Mudumalaiforest region using Airborne Visible/Infrared Imaging Spectrometer Next Generation. The phytosociologicalanalysis exhibited a total of 657 individuals (1095 individuals ha-1) of 24 tree speciesbelonging to 22 genera and 18 families. The highest tree density was contributed by Tectona grandis (132individuals ha-1 and 12.05% of total tree density) followed by Anogeissus latifolia (105 individuals ha-1 and9.59% of total tree density). The support vector machine study showed the dominance of SouthernTropical Semi-Evergreen forests (31%) followed by Southern Tropical moist deciduous forests (26.7%) andSouthern Tropical dry deciduous forests (24.8%) with a very high accuracy (92.37%). The comparativeanalysis of the existing forest types with Champion and Seth’s (1968) classification of forests exhibited achange of 30% in forest types in terms of their structure, composition, and extent over a period of 50years. The spectral angle mapperebased study emphasized the defining role of elevation, rainfall, andtemperature in species distribution, and physiognomy with dominance of A. latifolia (w19.22%). Thestudy implies the high spectral fidelity of airborne images for forest type mapping and plant speciesdiscrimination in tropical forests.
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