期刊名称：International Journal of Environment and Geoinformatics
电子版ISSN：2148-9173
出版年度：2017
卷号：4
期号：2
页码：79-93
DOI：10.30897/ijegeo.312517
语种：English
出版社：IJEGEO
摘要：Comparative analysis of carbon store of three dominant treespecies in planned green capital city of Gandhinagar and unplanned industrialtown of Mahesana in Gujarat State, India was carried out using geo-informaticstechnology. The selected three major dominant tree species grown in these townsare Azadirachta indica, Acacia sp. and Cassiasp. The high spatialresolution Remote Sensing Satellite data from Indian Remote Sensing Satellite(IRS-Resourcesat-1) LISS-IV, Cartosat-1, and Google earth images were used inthis study. The tree cover was categorized into dense and sparse on the basisof canopy cover observed on Satellite data. A grid of 1km X 1km was created inGIS environment and superimposed on Cartosat-1 images. Random sample of 20 %was selected for detailed tree count in the field and total tree count wasestimated from these selected sample grids. Total biomass and carbon sequestered in the major tree specieshave been estimated using a non-destructive method. The carbon stock estimated for three majortree species in Gandhinagar and Mahesana towns indicate that Azadirachta indica has maximum carbonsequestration potential as compared to Acaciasp. and Cassiasp. Themaximum of carbon stock was present in Girth at Breast Height (GBH) size>180 cm which is followed by GBH size 90 to 180 cm. The total number oftrees in Gandhinagar town is much higher as compared to Mahesana town;therefore estimated carbon store of dominant tree species in Gandhinagar townis very high as compared to Mahesana town which is more arid as compared toGandhinagar.
关键词：Carbon Sequestration; urban forestry; Total biomass; Girth at Breast Height (GBH); Carbon store; Remote Sensing (RS); Geographic Information System (GIS); Indian Remote Sensing Satellite
