The principle objective of this study is to detect, assess and predict the trend in land use and land cover changes
in the Harangi catchment of kodagu District, Karnataka. An attempt has been made to capture seven land use and
land cover classes accurately, as they change through time. The seven classes were distinctly produced for each
study year but with more emphasis on urban area and plantation as it reflect the impact of anthropogenic activities.
In achieving this, accuracy assessment using Kappa Coefficient is also introduced into the research work to evaluate
the performance of three algorithms. Results indicated that maximum likelihood algorithm produced acceptable
LU/LC classification with kappa coefficient of 0.81. This study demonstrates the ability of Remote Sensing and GIS
in capturing spatio-temporal changes in LU/LC. This area is situated in fertile plains and is lush with greenery, and
is therefore an attractive site for people to relocate to. Due to this there has been a substantial amount of
deforestation in the region, which has been identified in terms of reduction in the forest area and waste land.
Contrary to, the area under plantation category has been increased remarkably from 2007 to 2013. As study area
includes Harangi reservoir, the documentation of change in water body is helpful for taking decisions regarding
management of the reservoir performance. This study has provided qualitative and quantitative changes in the land
use pattern in the catchment, which becomes very important information for watershed management and planning.
The principle objective of this study is to detect, assess and predict the trend in land use and land cover changesin the Harangi catchment of kodagu District, Karnataka. An attempt has been made to capture seven land use andland cover classes accurately, as they change through time. The seven classes were distinctly produced for eachstudy year but with more emphasis on urban area and plantation as it reflect the impact of anthropogenic activities.In achieving this, accuracy assessment using Kappa Coefficient is also introduced into the research work to evaluatethe performance of three algorithms. Results indicated that maximum likelihood algorithm produced acceptableLU/LC classification with kappa coefficient of 0.81. This study demonstrates the ability of Remote Sensing and GISin capturing spatio-temporal changes in LU/LC. This area is situated in fertile plains and is lush with greenery, andis therefore an attractive site for people to relocate to. Due to this there has been a substantial amount ofdeforestation in the region, which has been identified in terms of reduction in the forest area and waste land.Contrary to, the area under plantation category has been increased remarkably from 2007 to 2013. As study areaincludes Harangi reservoir, the documentation of change in water body is helpful for taking decisions regardingmanagement of the reservoir performance. This study has provided qualitative and quantitative changes in the landuse pattern in the catchment, which becomes very important information for watershed management and planning.
การแปล กรุณารอสักครู่..
