Carbon Sequestration Analysis of dominant tree species using Geo-informatics Technology in Gujarat State (INDIA)

Journal Title: International Journal of Environment and Geoinformatics - Year 2017, Vol 4, Issue 2

Abstract

Comparative analysis of carbon store of three dominant tree species in planned green capital city of Gandhinagar and unplanned industrial town of Mahesana in Gujarat State, India was carried out using geo-informatics technology. The selected three major dominant tree species grown in these towns are Azadirachta indica, Acacia sp. and Cassia sp. The high spatial resolution Remote Sensing Satellite data from Indian Remote Sensing Satellite (IRS-Resourcesat-1) LISS-IV, Cartosat-1, and Google earth images were used in this study. The tree cover was categorized into dense and sparse on the basis of canopy cover observed on Satellite data. A grid of 1km X 1km was created in GIS environment and superimposed on Cartosat-1 images. Random sample of 20 % was selected for detailed tree count in the field and total tree count was estimated from these selected sample grids.

Authors and Affiliations

Ankit Arya, Shalini Negi, Jaydipsinh C. Kathota, Ajay N. Patel, Manik H. Kaluberme, J. K. Garg

Keywords

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Carbon Sequestration Analysis of dominant tree species using Geo-informatics Technology in Gujarat State (INDIA)

Comparative analysis of carbon store of three dominant tree species in planned green capital city of Gandhinagar and unplanned industrial town of Mahesana in Gujarat State, India was carried out using geo-informatics tec...

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  • EP ID EP197590
  • DOI -
  • Views 122
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How To Cite

Ankit Arya, Shalini Negi, Jaydipsinh C. Kathota, Ajay N. Patel, Manik H. Kaluberme, J. K. Garg (2017). Carbon Sequestration Analysis of dominant tree species using Geo-informatics Technology in Gujarat State (INDIA). International Journal of Environment and Geoinformatics, 4(2), 79-93. https://europub.co.uk./articles/-A-197590