ASSESSMENT OF COASTAL LAND USE CHANGES IN BANTEN BAY, INDONESIA USING DIFFERENT CHANGE DETECTION METHODS

Many types of the coastal land use in Banten Bay have been assessed in order to know the change as evidently detected by Landsat imagery in 1994 and 2001. Image processing such as, supervised classification and various change detection techniques are performed to the satellite images. Red Green method showed the best result for detecting the coastal land use change. This method is suitable for detecting the increasing areas of the paddy fields and settlement. Image Differencing method is capable to detect the increasing areas in agriculture, decreasing in fishponds and natural areas. Image Ratioing method can be considered suitable for detecting the increasing area of fishponds, decreasing of paddy fields and agriculture areas. Each coastal land use type has increased, except for the natural area/brushwood. Most of agriculture and paddy fields areas have been converted to fish ponds. Key words: coastal land use/land cover, change detection method, remote sensin

Assessment of Coastal Land Use Changes in Banten Bay, Indonesia Using Different Change Detection Methods

Many types of the coastal land use in Banten Bay have been assessed in order to know the change as evidently detected by Landsat imagery in 1994 and 2001. Image processing such as, supervised classification and various change detection techniques are performed to the satellite images. Red Green method showed the best result for detecting the coastal land use change. This method is suitable for detecting the increasing areas of the paddy fields and settlement. Image Differencing method is capable to detect the increasing areas in agriculture, decreasing in fishponds and natural areas. Image Ratioing method can be considered suitable for detecting the increasing area of fishponds, decreasing of paddy fields and agriculture areas. Each coastal land use type has increased, except for the natural area/brushwood. Most of agriculture and paddy fields areas have been converted to fish ponds

Urban coral reefs: Degradation and resilience of hard coral assemblages in coastal cities of East and Southeast Asia

© 2018 The Author(s) Given predicted increases in urbanization in tropical and subtropical regions, understanding the processes shaping urban coral reefs may be essential for anticipating future conservation challenges. We used a case study approach to identify unifying patterns of urban coral reefs and clarify the effects of urbanization on hard coral assemblages. Data were compiled from 11 cities throughout East and Southeast Asia, with particular focus on Singapore, Jakarta, Hong Kong, and Naha (Okinawa). Our review highlights several key characteristics of urban coral reefs, including “reef compression” (a decline in bathymetric range with increasing turbidity and decreasing water clarity over time and relative to shore), dominance by domed coral growth forms and low reef complexity, variable city-specific inshore-offshore gradients, early declines in coral cover with recent fluctuating periods of acute impacts and rapid recovery, and colonization of urban infrastructure by hard corals. We present hypotheses for urban reef community dynamics and discuss potential of ecological engineering for corals in urban areas

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ABSTRACT Loi Island is connected with Sri Racha, Chonburi Province by a bridge. The fishermen and tourists use this island in many purposes. This research was investigated during September 2004-June 2005. Many kinds of data resource were used in this study such as geoinformatic system data and seawater current. From the final result showed that coastline is dynamics changed in every years and sensitive for protecting. The unique image in year of 2001 depicted a new bridge. Abandon of suspended solid was distribution around the coast. From human activity, size of Loi Island nowadays bigger than in year 1997 about 1.4 times, this was easy to interpret by remote sensing data. Although shape of new bridge was changed but seawater movement still having the same direction and speed have a little bit changed less than 10 % since under the bridge was still shallow. The seawater could not move in easy way

Land Use and Cover Changes in Dongsithouane National Production Forest in Lao PDR: A Case Study of Savannakhet Province

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Index-based tools for livelihood security and resilience assessment (LiSeRA) in lower Mekong Basin

This paper presents a framework and toolkit for assessment of multi-hazard livelihood security and resilience in the Lower Mekong Basin (LMB) communities. The LMB is a subsidiary region of the Mekong region in South East Asia, and is frequently exposed to hydrometeorological hazards and anthropogenic stressors that expose and directly affect the livelihoods of more than sixty-five million people living in the region. The main purpose of the study is to support decision-making and risk management planning through integration of the concepts of livelihood security and resilience into a holistic framework, and subsequently developing an index-based toolkit for conducting assessments. Firstly, dimensions, sub-dimensions and indicators for measurement of livelihood security and resilience in the LMB were identified through comprehensive literature review and expert consultation. Then, several local workshops were conducted with various stakeholders (researchers, government officials, community people) in the LMB region to validate the indicators and generate weightages. The indicators were then arranged in a matriculated form, and the weightages were used to generate the algorithm for computing the quantitative outputs of livelihood security and resilience in study area. An Excel toolkit and a ‘R’ programming package were developed using the algorithm for visualization of the assessment outcomes. The proposed framework and toolkit are expected to assist researchers, government officials and development professionals in generating robust resilience assessment indices for risk informed decision-making and planning.Brief outline of the method • Livelihood security and resilience concepts were integrated to generate a holistic assessment framework and an indicator library. • Weightages for indicators were generated using the Analytical Hierarchical Process (AHP) through consultation with relevant stakeholders. • The indicator library was developed into an algorithm-based Excel and ‘R’ programming toolkit that provides quantitative assessment outputs

System approach for flood vulnerability and community resilience assessment at the local level – a case study of Sakon Nakhon Province, Thailand

Field-based academic researches play a vital role in the identification of key issues contributing to disaster vulnerability and in uncovering of policy recommendations that will help in reducing vulnerability and improving community resilience. Vulnerability to disasters is embedded in a complex system of societal structures and processes. It is driven by a combination of social, economic, environmental, institutional, and other relevant processes that interact with and influence each other. Thus, assessment of disaster vulnerability requires an approach that captures the dynamics of drivers of disaster vulnerability and accounts for the interactions among them. System approach to disaster vulnerability assessment could be an effective method to understand the drivers of disaster vulnerability and interactions among them. The system approach seeks to look at a problem in its entirety, considering all the facets, all the intertwined parameters to identify the optimum solutions to the problem. Thus, the primary objective of this paper is to review the existing field-based approaches to flood vulnerability assessment aimed at understanding the extent to which system approach has been adopted and identifying gaps in current approaches. Along with a comprehensive review of existing researches on flood vulnerability assessment, this paper will also use learnings from an on-going research project on flood vulnerability assessment using system approach at the local level in Sakon Nakhon Province, Thailand