Land Use/Land Cover Change Analysis using Geo-Information Technology: Two Case Studies in Bangladesh and China
要旨A Land use/land cover (LULC) change plays a pivotal role in regional socio-economic development and global environment changes. In environment, where fragile ecosystems are dominant, the land cover change often reflects the most significant impact on the environment due to excessive human activities. So, LULC change analysis is essential to know the natural characteristics, extent and location, its quality, productivity, suitability and limitations of various land uses/covers. Present study was conducted to assess the LULC change in two distinct areas, the Bogra district of Bangladesh and Danjiangkou County of China, over the last 16 years (1988-2004) and 14 years (1991-2005), respectively. Landsat TM and IRS P6 LISS III images were used to analyze the overall changes of different LULC types in the two selected areas. To classify the satellite images for LULC, a fuzzy ARTMAP neural network supervised classification method was performed. post classification comparison technique with GIS overlay was followed to derive the LULC changes. In this A study we focused the LULC dynamics, including statistics of spatio-temporal changes, trajectories/transformations of LULC and their relations to the selected physical environmental variables such as soil, slopes and altitude. The analysis revealed that the LULC of the two study areas were changed dramatically during the study periods, and considering the LULC dynamics, the results showed that LULC changes were related particularly to the pattern of the physical attributes; soil, slope and elevation. The relations between LULC change and physical properties of the environment, and the trajectories of the LULC depicted that the changes which took places during the study periods were mainly human induced, which might be the cause of soil and environmental degradation in the areas. Thus, more attention should be paid in these areas to protect environmental degradation, particularly for the eco-environmental sustainability.