ரிமோட் சென்சிங் & ஜிஐஎஸ் ஜர்னல்

சுருக்கம்

Remote Sensing and Land Use/Land Cover Trajectories

Mukesh Singh Boori* and Vit Vozenílek

Remotely sensed data is the most important data source for land cover change trajectories over the past 40 years. This research explores the temporal composition of the main Land-use/land-cover (LULC) trajectories. Examine the spatial configuration of the trajectory derive the probability of transitions in the Olomouc region, Czech Republic. Multi-temporal satellite data from 1991, 2001 and 2013 were used to extract land use/cover types by object oriented classification method. To achieve the objectives, three different aspects were used: (1) Calculate the quantity of each transition; (2) Allocate location based landscape pattern (3) Compare land use/cover evaluation procedure. Land cover change trajectories show that 16.69% agriculture, 54.33% forest and 21.98% other areas (settlement, pasture and water-body) were stable in all three decade. Approximately 30% of the study area maintained as a same land cove type from 1991 to 2013. The results suggest that spatial pattern metrics of land cover change trajectory can provide a good quantitative measurement for better understanding of the spatio-temporal pattern of land cover change due to different causes.