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

Autoři

  • 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

Klíčová slova:

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

Abstrakt

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.

Stažení

Publikováno

2015-05-27

Číslo

Vol 6 No 2 (2015)

Sekce

Review Articles

Licence

Declaration and Copyright Transfer Form

(to be completed by authors)

 

I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

·         I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.

·         I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).

·         I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.

·          I/We also agree to the authorship of the article in the following order:

Author’s name                                    

 

1. ________________

2. ________________

3. ________________

4. _______________

 

We  Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.

.