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Land Cover Mapping and Dynamics of Kaziranga National Park, Assam, India


Affiliations
1 Rain Forest Research Institute, Jorhat-785001, Assam, India
2 Kaziranga National Park, Bokakhat, Assam, India
     

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Precise mapping of Kaziranga National Park (KNP), the natural world heritage site, is the prime objective of this paper. High resolution Indian remote sensing satellites including IRS P6 Panchromatic and LISS 4 image, with 2.5 m and 5.8 m spatial resolution respectively, were used for the same along with GPS and extensive field survey. A theme based hybrid approach was followed for classification of digital remote sensing images. The overall classification accuracy was estimated to be 91.7% where as K value implies that the classification process was avoiding 89.9% errors of a hat completely random classification. The Eastern alluvial grassland is found to be the predominant vegetation type which occupies 50.6% of the total park area. Semi-evergreen and moist mixed deciduous forests together occupy 21.8% of the total area followed by short grass (7.7 %). A substantial area (11.7%) was found to be eroded in to the river Brahmaputra and as a result core area of the park is found to be decreased when compared with previous assessments.

Keywords

Kaziranga, Land cover, Mapping, GIS.
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About The Authors

D. J. Das
Rain Forest Research Institute, Jorhat-785001, Assam
India

V. Kumar

India

H. R. Bora

India

P. K. Verma

India

P. Gogoi

India

G. Gogoi

India

N. K. Vasu
Kaziranga National Park, Bokakhat, Assam
India


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  • Land Cover Mapping and Dynamics of Kaziranga National Park, Assam, India

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Authors

D. J. Das
Rain Forest Research Institute, Jorhat-785001, Assam, India
V. Kumar
, India
H. R. Bora
, India
P. K. Verma
, India
P. Gogoi
, India
G. Gogoi
, India
N. K. Vasu
Kaziranga National Park, Bokakhat, Assam, India

Abstract


Precise mapping of Kaziranga National Park (KNP), the natural world heritage site, is the prime objective of this paper. High resolution Indian remote sensing satellites including IRS P6 Panchromatic and LISS 4 image, with 2.5 m and 5.8 m spatial resolution respectively, were used for the same along with GPS and extensive field survey. A theme based hybrid approach was followed for classification of digital remote sensing images. The overall classification accuracy was estimated to be 91.7% where as K value implies that the classification process was avoiding 89.9% errors of a hat completely random classification. The Eastern alluvial grassland is found to be the predominant vegetation type which occupies 50.6% of the total park area. Semi-evergreen and moist mixed deciduous forests together occupy 21.8% of the total area followed by short grass (7.7 %). A substantial area (11.7%) was found to be eroded in to the river Brahmaputra and as a result core area of the park is found to be decreased when compared with previous assessments.

Keywords


Kaziranga, Land cover, Mapping, GIS.

References