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Land use/land cover identification in an alpine and arid region (Nubra Valley, Ladakh) using satellite remote sensing

Land use/land cover identification in an alpine and arid region (Nubra Valley, Ladakh) using... Abstract The remote sensing technology has been widely used for mapping the vegetation types in the tropical landscapes. However, in the temperate and alpine arid regions of India very few studies have been conducted using this technique. In the mountainous temperate arid conditions the vegetation is largely confined to marsh meadows, streams courses, river valleys and moist pockets close to snowfields. The ground truth collection in these zones are physically challenging due to tough terrain and restricted mobility. The detailed mapping of vegetation and other land use classes in these areas is therefore, extremely difficult. This paper describes the use of IRS-ID LISS III sensor for deciphering land cover details Nubra Valley, northern portion of Ladakh Autonomous Hill Council, Jammu & Kashmir (India). This analysis essentially emphasizes in bringing out various vegetation classes (speciallyHippophae rhamnoides and other medicinal plant communities) along the narrow river valleys. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png "Journal of the Indian Society of Remote Sensing" Springer Journals

Land use/land cover identification in an alpine and arid region (Nubra Valley, Ladakh) using satellite remote sensing

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References (15)

Publisher
Springer Journals
Copyright
2005 Springer-Verlag
ISSN
0255-660X
eISSN
0974-3006
DOI
10.1007/BF02990008
Publisher site
See Article on Publisher Site

Abstract

Abstract The remote sensing technology has been widely used for mapping the vegetation types in the tropical landscapes. However, in the temperate and alpine arid regions of India very few studies have been conducted using this technique. In the mountainous temperate arid conditions the vegetation is largely confined to marsh meadows, streams courses, river valleys and moist pockets close to snowfields. The ground truth collection in these zones are physically challenging due to tough terrain and restricted mobility. The detailed mapping of vegetation and other land use classes in these areas is therefore, extremely difficult. This paper describes the use of IRS-ID LISS III sensor for deciphering land cover details Nubra Valley, northern portion of Ladakh Autonomous Hill Council, Jammu & Kashmir (India). This analysis essentially emphasizes in bringing out various vegetation classes (speciallyHippophae rhamnoides and other medicinal plant communities) along the narrow river valleys.

Journal

"Journal of the Indian Society of Remote Sensing"Springer Journals

Published: Sep 1, 2005

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