3rd World Congress on GIS and Remote Sensing
Charlotte, USA
A.G. Koppad
College of Forestry, Sirsi, India
Title: Assessment of carbon sequestration in forest soils and their mapping through remote sensing and GIS techniques
Biography
Biography: A.G. Koppad
Abstract
The study was taken up in Uttara Kannada districts during the year 2012-2015. Uttara Kannada district lies between 13.9220o N to 15.5252o N latitude and 74.0852o E to 75.0999o E longitude and covers an area of 10,215 km2. It extends from north to south about 180 km, and from west to east a maximum width of 110 km. The Indian satellite IRS P6 LISS-III imageries were procured from NRSC, Hyderabad India and topo-sheets of the study area was procured from Survey of India. The satellite imagery of the study area is clipped with district boundary shape file. The shape file of the district boundary was created from Arc GIS software. The field survey was taken up in the district to collect the ground truth data with GPS location as per land use land cover. The image was classified for different land use and land cover with the help of ground truth data as training sites and classified using supervised classification in ERDAS-11 software. The land use and land cover classes identified were dense forest, horticulture plantation, sparse forest, forest plantation, open land and agriculture land. As per the supervised classification for estimating the area under different LU/LC classes, it was found that there are 9 LULC classes were found, Among them, dense forest covered an area of 63.32 % (6468.70 sq km) followed by agriculture 12.88 % (1315.31 sq. km), sparse forest 10.59 % (1081.37 sq. km), open land 6.09 % (622.37 sq. km), horticulture plantation and least was found in forest plantation 1.07 %. Settlement, stony land and water body covers about 4.26 percent of the area.
The soil samples at one meter depth in all land use classes were collected and soil organic carbon (SOC) was estimated. The result indicated that the SOC in soils of different land use classes are significantly different. The SOC percentage of Forest soils under different LU/LC in different talukas of UK district indicated that the average SOC % at 0-100 cm was found same in dense forest and horticulture plantation followed by forest plantation (1.06 %), sparse forest (1.04 %) and least was found in agriculture land (0.55 %). The average SOC in Uttara Kannada district was 121.23 t/ha. The average SOC according LULC in Dense Forest was 158.15 t/ha, Sparse Forest was 132.18 t/ha, Horticulture Plantation was 148.73 t/ha, Forest Plantation was 132.12 t/ha, Open Land was 89.29 t/ha, and least was in Agriculture (68.14 t/ha). The total SOC pool in UK district was 135.284 million tonnes (Mt) out of which 102.302 Mt sequester in dense forest followed by sparse forest (14.293 Mt). The remaining LU/LC classes sequester 8.962 Mt, 5.557 Mt, 2.722 Mt and 1.448 Mt in agriculture land, open land, horticulture plantation and forest plantation respectively. When we work out the carbon dioxide mitigation potential it was found that dense forest sequester 2.32 times more than agriculture land followed by horticulture plantation (2.18 times), sparse forest, forest plantation (1.94 times) and open land (1.31times).