Identifying Land Use Changes and It's Socio-Economic Impacts: A Case Study of Chacoria Sundarban in Bangladesh
Independent thesis Advanced level (degree of Master), 20 points / 30 hpStudent thesis
Human intervention and natural phenomenon cause change in land use day by day. Availability of accurate land use information is essential for many applications like natural resource management, planning and monitoring programs. Landuse Change has become a central component in current strategies for managing natural resources and monitoring environmental change. Because of the rapid development in the field of land use mapping, there is an increase in studies of land use change worldwide. Providing an accurate assessment of the extent and health of the world’s forest, grassland and agricultural resources has become an important priority. By printed maps without any statistics or only statistics without any map can not solve this visualization problem. Because printed maps have not attracted as much attention as statistics among the people because of it is limited applications (Himiyama, 2002). Remotely sensed data like aerial photographs and satellite imageries are undoubtedly the most ideal data for extracting land use change information. Satellite images are the most economical way of getting data for different times. The multitude of existing software helps getting information from satellite image also in manipulating the information. The approach used in this study to classify satellite images and change detection based on Satellite images Landsat MSS (1972), Landsat TM (1989) and Landsat ETM (1999) for using supervised classification methods like maximum likelihood (MAXLIKE), MAHALCLASS and time series analysis of CROSSTAB. After performed these hard and soft classifiers the research showed the significant Landuse change in the study area of Chakoria Sundarban mangrove forest. Remote sensing is the modern tools for detecting change pattern and behaviours of coastal environment (Saifuzzaman, 2000). So, those tools are used in the research work for better change analysis of the study area. For analyzing, evaluation and mapping environmental change detection of different years remotely sensed data have been undertaken. The present research provides some suggestions and recommendations as per research findings in order to optimize the utility of coastal resources and to maintain the sustainability of the resources, coastal land use control and there by stabilizing the coastal vulnerable area of chakoria Sundarban.
Place, publisher, year, edition, pages
2008. , 103 p.
Landuse Change, Remotely Sensed Data, Aerial Photographs, Satellite Imageries, Landsat MSS, Landsat TM, Landsat ETM, Supervised Classification, Maximum Likelihood (MAXLIKE)
Earth and Related Environmental Sciences
IdentifiersURN: urn:nbn:se:liu:diva-12614ISRN: LIU-IDA/FFK-UP-A--08/012--SEOAI: oai:DiVA.org:liu-12614DiVA: diva2:2076
Sivertun, Åke, Dr.