Mangrove Mapping and Change Detection in Ca Mau Peninsula, Vietnam, Using Landsat Data and Object-Based Image Analysis PROJECT TITLE :Mangrove Mapping and Change Detection in Ca Mau Peninsula, Vietnam, Using Landsat Data and Object-Based Image AnalysisABSTRACT:Mangrove forests give important ecosystem goods and services for human society. Extensive coastal development in many developing countries has converted mangrove forests to different land uses without regard to their ecosystem service values; thus, the ecosystem state of mangrove forests is important for officers to evaluate sustainable coastal management ways. The objective of this study is to research the multidecadal amendment in mangrove forests in Ca Mau peninsula, South Vietnam, based on Landsat information from 1979 to 2013. The info were processed through four main steps: one) information preprocessing; 2) Image Processing using the article-primarily based image analysis (OBIA); three) accuracy assessment; and four) multitemporal amendment detection and spatial analysis of mangrove forests. The classification maps compared with the ground reference data showed the satisfactory agreement with the accuracy above 82%. From 1979 to 2013, the world of mangrove forests in the study region had decreased by 74percent, mainly thanks to the boom of native aquaculture industry within the study region. Given that mangrove reforestation and afforestation solely contributed about thirteen.a pair ofpercent throughout the last three decades, advanced mangrove management ways are in an acute want for promoting environmental sustainability in the long run. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest TAIEX Forecasting Using Fuzzy Time Series and Automatically Generated Weights of Multiple Factors Studying Magneto-Induced Iodine Sorption at Dielectric Surface