Forest cover mapping of East district,Sikkim using IRS-1A LISS II satellite data |
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| Authors: | S Sudhakar Arvind Kumar M L Arrawatia S Sengupta |
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| Institution: | 1. Regional Remote Sensing Service Centre, IIT Campus, 721302, Kharagpur
2. State Forest Department, Sikkim, Gangtok
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| Abstract: | Remote sensing techniques have been applied to classify tour density classes within each of the forest type along with other major landuse/landcover classes in the East district, Sikkim using IRS-1A LISS II satellite data pertaining to the period of November, 1988. The shadow problem in rugged terrain and difficulty in acquiring cloud free data for different seasons pose problems to achieve considerable mapping accuracy. In the present study, the forests of the district were delineated through supervised classification techniques using maximum likelihood algorithm into five forest types as sal forests, subtropical broad-leaved forests, Himalayan wet temperate forests, Rhododendron forests and alpine forests. The alpine forests were further stratified into two categories as moist alpine scrub and dry alpine scrub. The statistical data obtained from the present study shows that 55.47 percent of the total geographical area of the East district was under forest cover. An overall accuracy of more than 85 percent in correctly delineating forest classes was achieved. |
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