ASTER Spectral Analysis Based Vegetation Species Identification of the Forest Areas Situated in Ghatsila, Musabani and Dhalbhumgarh

Autor/innen

  • Somnath Maiti
  • Rajat Satpathy Dept.of Remote Sensing & GIS, Vidyasagar University, Midnapore,West Bengal, India
  • Jatisankar Bandyopadhyay Dept.of Remote Sensing & GIS, Vidyasagar University, Midnapore,West Bengal, India
  • Ayyeum Perumal Thillai Jeyaseelan Regional Remote Sensing Centre West, NRSC, ISRO, Jodhpur, Rajasthan, India

Schlagwörter:

ASTER imagery, SAM, SID, vegetation species, spectral analysis

Abstract

Reflectance-converted imagery is a requirement for establishing remote sensing algorithms for mapping vegetation species using their specific absorption and reflectance spectra. The differences among the spectral signatures, the unique patterns of absorption and reflection of visible and infrared energy help the researcher to identify types of plants. During the last few decades remote sensing technology has become increasingly important tool for mapping and inventorying forest resources around the world. Jharkhand state has a vast forest area and a rich biodiversity. The ability to map vegetation and in particular individual trees is a key component in forest management and long-term forest monitoring. The aim of this study is to analyze the ASTER derived spectral informations on which it is possible to discriminate species spectrally from each other. An ASTER image based spectral classification method such as SAM and SID has demonstrated its capability to map the dominant vegetation species found in the study area.Keywords: ASTER imagery, SAM, SID, vegetation species, spectral analysis Cite this ArticleSomnath Maiti, Rajat Satpathy, Jatisankar Bandyopadhyay, Ayyeum Perumal Thillai Jeyaseelan. ASTER Spectral Analysis Based Vegetation Species Identification of the Forest areas situated in Ghatsila, Musabani and Dhalbhumgarh. Journal of Remote Sensing & GI. 2015; 6(2): 41–50p.

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Veröffentlicht

2015-05-27

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Bd. 6 Nr. 2 (2015)

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Review Articles

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