Assessing Spatio-Temporal Of Land Use Land Cover Changes And Its Dynamics Using Remote Sensing And GIS Approach - A Case Study Of Midghat Haliyal-Supa, Karnataka

The large-scale shift in Land Use and Land Cover (LULC) is being attempted to meet immediate needs by ignoring long-term complementarities among different components of natural resources in the tropical Western Ghats, Karnataka Hence, quantifying accurate LULC change within a region is an important component of monitoring watershed services. Thus curret effrots were made o quantiuy LULCC, rate of change and land use dynamics through application of Remote Sensing (RS) and Geographical Information Systems (GIS) in Haliyal-Supa Taluka of Uttara Kannada District, Karnataka. LULCC results shows that tropical evergreen/semi-evergreen forest located along the river valley and middle altitude found net reduce by 0.71%. However, moist and dry deciduous forest increased by 0.57% from 2001 to 2012. The degraded forest and scrub forest area remain under pressure and we can observe a slight increase in the area from the period of 2001 to 2012 (by 0.3% and 0.29% respectively). Similarly, the area covered by forest plantations shows an increment during 2012 as compared to 2001 with respect to water bodies especially Rivers/reservoir/streams and river island steady decline in trend. Similarly agricultural land use also showed a steady decline, especially agriculture plantation consisting of Arecanut, Coconut, and horticulture. However, cropland such as paddy, sugarcane, cereals, and pulses steadily increased from 2001 to 2012. The area under towns and city class marginally increased by 0.2% during the study period. Results of the maximum rate of fluctuation was observed in evergreen forest followed by moist and dry deciduous forest and Rivers/streams/ reservoir. However among all the land use changes, Barren rocky/stony wasteland, the minimum rate of change is 0.5%/year. With respect to dynamic degree of town/cities, scrub forest, tree plantation, Barrn rocky/ stony wasteland, degraded forest land/ tree groves, moist/dry deciduous forest and cropland has increased. We can see that landscape deviation degree has increased from 14.9% in 2001 to 15.02% in 2012 that shows the intensity of human activity has increased.