Coastline Changes Research Articles

Coastline change detection using high-resolution satellite images: a case study in Amurang Coasts, South Minahasa, North Sulawesi

Coastal dynamics have become an intriguing subject for observation due to their constant alteration. Coastline alteration involves natural factors and human interventions, including land reclamation. The land reclamation process can result in an extreme change in coastal dynamics in the area. Amurang, South Minahasa, is an example of coastal area exploitation. Amurang coasts have undergone physical changes in the last decade, which induced alteration in the coastal balance of erosion and accretion of the area. The primary purpose of this study was to determine the pattern of coastline changes in Amurang, South Minahasa, and North Sulawesi, Indonesia. Remote sensing methods using time series data of PlanetScope ortho-tile images have been involved in this study. The results revealed that from 2016 to 2022, the coastline changed with an erosion rate of 1.05 ha/year. Moreover, due to abrasion on June 15th, 2022, the Amurang coasts lost 3.97 ha of land. The construction of coastal protection (embankment) and land reclamation on the coasts has been observed in the study area. However, the embankment construction and land reclamation have altered coastal dynamics in Amurang, resulting in erosion in the east part. Therefore, coast construction requires accurate planning and calculation involving environmental impact assessment. Moreover, coastal protection cannot rely solely on the rigid structure. Coastal conservation involving the soft structure, such as mangrove vegetation and sediment nourishment by the river, should be considered. This study shows that inappropriate coastal construction can cause enormous damage and loss on the Amurang coasts.

17 Years of Coastline Changes Observation in the Northern Part of Rupat Island Using Landsat 7 ETM + Time Series Imagery (2000-2017); A Case Study of the Country’s Border Between Indonesia – Malaysia

Rupat Island is the outermost part of Indonesia which borders Malaysia. This island is part of Bengkalis Regency, Riau Province, located at 02° 4.911'N-101° 27,191'E. This study uses primary data from field observations and secondary data in Landsat 7ETM+ Time Series image data and other supporting data. The descriptive method is carried out in the form of geological interpretation in the field, determination of validation points and then analysis using GIS/visual interpretation to obtain shoreline changes that occurred in the northern part of Rupat Island from the year 2000 to 2017. Additional data used were sea current and pattern and wind direction and speed. Validation points are used to obtain detailed calculations related to this coastline change: Tanjung Api area to Teluk Rhu and Tanjung Lapin get the measurement results experienced the most accretion occurred in 2013 was 167.21 m, and the most abrasion in 2016 was 72.77 m. The biggest change occurred in 2013 when the accretion occurred at 375.5 Ha, and the most abrasion occurred in 2014 at 50.63 Ha. Meanwhile, for shoreline changes, the minimum annual coastline length in 2004 was 19.04 km, and the normal coastline length in 2015 was 28.26 km. The maximum length of the coastline occurred in 2013 was 36.53 km.

A Transformer Model for Coastline Prediction in Weitou Bay, China

The simulation and prediction of coastline changes are of great significance for the development and scientific management of coastal zones. Coastline changes are difficult to capture completely but appear significantly periodic over a long time series. In this paper, the transformer model is used to learn the changing trend of the coastline so as to deduce the position of the coastline in the coming year. First, we use the distance regularization level set evolution (DRLSE) model for instantaneous waterline extraction (IWE) from preprocessed Landsat time-series images from 2010–2020 in Weitou Bay, China. Then, tidal correction (TC) is performed on the extracted instantaneous waterline dataset to obtain coastlines projected to a single reference tidal datum. Finally, the coastline datasets from 2010–2019 are used for model training, and the coastline in 2020 is used for accuracy assessment. Three precision evaluation methods, including receiver operating characteristic curve matching, the mean offset, and the root mean square error, were used to verify the predicted coastline data. The receiver operating characteristic curve was specifically designed and improved to evaluate the accuracy of the obtained coastline. Compared with the support vector regression (SVR) and long–short-term memory (LSTM) methods, the results showed that the coastline predicted by the transformer model was the closest to the accurate extracted coastline. The accuracies of the correct values corresponding to SVR, LSTM, and transformer models were 88.27%, 94.08%, and 98.80%, respectively, which indicated the accuracy of the coastline extraction results. Additionally, the mean offset and root mean square error were 0.32 pixels and 0.57 pixels, respectively. In addition, the experimental results showed that tidal correction is important for coastline prediction. Moreover, through field investigations of coastlines, the predicted results obtained for natural coastlines were more accurate, while the predicted results were relatively poor for some artificial coastlines that were intensely influenced by human activities. This study shows that the transformer model can provide natural coastline changes for coastal management.

The Impact of Coastline and Bathymetry Changes on the Storm Tides in Zhejiang Coasts

Coastal evolutions are expected to have a significant impact on storm tides, disproportionately aggravating coastal flooding. In this study, we utilize a nested storm tide model to provide an integrated investigation of storm tide responses to changes in coastline and bathymetry along the Zhejiang coasts. We selected coastline and bathymetry data from 1980 and 2016, as well as data from three typical typhoon events (i.e., Winnie, Haikui, and Chan-hom) for simulating the storm surge processes. The results indicate that changes in the coastline and bathymetry from 1980 to 2016 have resulted in an increase in storm tides in the northern part and a decrease in the central part of Zhejiang. Specifically, storm tides in Hangzhou Bay have increased significantly, with an average increase of about 0.3 m in the maximum storm tides primarily attributed to coastline changes. On the contrary, in smaller basins like Sanmen Bay, while reclamation itself has reduced peak storm surges, rapid siltation has consequently exacerbated the storm surge. By decomposing storm tides into astronomical tides and storm surges, we discovered that the change in tidal levels was twice as significant as the surge change. Moreover, the nonlinear tide–surge interaction was nearly four times that of the pure surge, significantly contributing to storm surge variation. Alterations in the momentum balance reveal that the water depth-induced bottom friction and wind stress increase contributes to the local enlargement of storm tides at the bay head, while the coastline changes exaggerate nearshore storm tides through an increase in the advection term.

Analysis of the evolution of the Yellow River Delta coastline and the response of the tidal current field

The coastline of the Yellow River Delta has undergone continual alterations due to both natural forces and human activity. Studying these changes is crucial for promoting economic growth and preserving the region’s ecological balance. Based on imagery captured by the Landsat5 and Landsat8 satellites, this study uses statistical data from the Digital Shoreline Analysis System (DSAS), including Net Shoreline Movement (NSM), End Point Rate (EPR), and Linear Regression Rate (LRR), to analyze the changes in the Yellow River Delta coastline from 2009 to 2019. This being the case, a hydrodynamic model under different shoreline conditions was established using Delft3D to compare and analyze the impact of shoreline changes on the tidal current field. From 2009 to 2019, the coastline in the study area exhibited an average movement distance of 1285m (NSM) and an annual change rate of 127.7m/a (LRR). The average increase in the area of the current estuary was 7.68km2/a, while the average decrease in the area of the old estuary was 4.91km2/a. Shoreline evolution is primarily influenced by the influx of water and sediment into the ocean. Following the implementation of water and sediment regulation, the existing estuary’s shoreline experienced a rapid initial accumulation of silt, which subsequently decelerated over time. Conversely, the former estuary has consistently undergone erosion. The greater the change in shoreline, the closer to the coast, and the greater the change in the tide. From 2009 to 2019, flow velocity and direction in the Yellow River Delta generally showed a decreasing trend, with changes ranging from 0.34% to 25.94%. The residual flow velocity near the current estuary gradually increased by about 2cm/s, while that near the abandoned old estuary gradually decreased by about 1cm/s, with no significant changes offshore. The sediment transported by the Yellow River is deposited at the current estuary, causing the coastline to move northeastward. In the abandoned estuary, there is erosion, causing the coastline to retreat.

Socio-ecological analysis of the eutrophication in Chesapeake Bay, USA

This study is a social-ecological analysis of eutrophication in the Chesapeake Bay, United States of America (USA). It uses an expanded DPSIR framework (Drivers/Pressures/State/ Impacts/Responses) methodology to analyze the issue. In addition, a typology of the social actors and stakeholders in the socio-economic part of the system is identified. These stakeholders include residents, agriculturists, fishers, real estate developers, tourism operators, scientific researchers, and state and federal regulators. The framework results found that the Drivers are food security, housing, economic development, recreation pursuits, a sense of belonging, and population growth. These result in human Activities such as land and coastal change for development, coastline changes for fisheries, urban or suburban development, burning fossil fuels, and agricultural fertilization. The activities exert Pressures such as wastewater discharge, runoff from cleared land, atmospheric deposition (NOx), nutrient input, decreased tidal vegetation, and overfishing of filter feeders. These alterations change the State of the environment and its resilience by increasing the duration and areal extent of hypoxia, turbidity, and change in nutrient ratios. This also causes ecosystem changes, such as a decrease in wildlife diversity, and affects ecosystem services, such as decreasing nutrient buffering. The health of Chesapeake Bay benefits all stakeholders and wildlife, so the reduction of ecosystem services results in Impacts on society’s welfare and well-being, the economy, and environmental justice. Examples are decreased fishery yields and poorer water quality, affecting aesthetics, tourism, and ultimately human health. The governance Response to the degradation of the Chesapeake Bay and main management Measures has been the formation of the Chesapeake Bay Program, which has developed several agreements to improve water quality. The Chesapeake Bay Foundation, Chesapeake Progress, and Report Cards are accountability tools to observe and communicate the management project results or enforce state laws. The current management shows promising results, but further efforts are required to improve the water quality. Using various management options may bridge this gap to benefit all stakeholders. The main conclusion is that, although eutrophication is a complex problem, there is a scientific knowledge-base and a range of management options to restore the Chesapeake Bay.

Coastline Change Analysis using Landsat-8 on Rebana Metropolitan Area, West Java

The Rebana metropolitan area is an industrial area development covering Cirebon-Patimban-Kertajati to support accelerated economic growth, especially in the West Java region. In order to minimize failures in supporting the development targets of the Rebana metropolitan area, it is necessary to carry out spatial planning with consideration of the hazard aspects in the development area. One of the aspects that need to be studied further is the dynamics of the coastal area such as coastline changes that occur due to erosion or sedimentation. Analysis of erosion and sedimentation is essential for further studies to be carried out regarding the factors that cause erosion and sedimentation and how to protect and prevent them in the future. This research utilizes remote sensing techniques and integrated geographic information systems (GIS) to identify coastline changes from 2017-2022 in the coastal areas of Subang, Indramayu, and Cirebon districts which are included in the Rebana metropolitan area. In this study, Landsat-8 satellite imagery is used to identify and quantify Spatio-temporal changes that occur in the coastal area of the Rebana metropolitan area in 6 years. The Normalized Difference Wetness Index (NDWI) algorithm is used to separate wet and dry objects which are interpreted as bodies of water and land. Thresholding the results of the NDWI algorithm along with the on-screen digitization approach was carried out for coastline extraction. The calculation of coastline changes is carried out using the Digital Shoreline Analysis System (DSAS) so that the rate of change of coastline in the study area is obtained. During the study period, the results showed that the average erosion rate in the Rebana metropolitan area was -3.66 m/year and the average sedimentation rate was +6.28 m/year, where the greatest erosion rate occurred in Kapetakan sub-district, Cirebon Regency with an average rate -7.63 m/year, and the greatest sedimentation rate occurs in Pusakanagara sub-district, Subang Regency with an average rate +24.64 m/year. Karangampel Sub-district in Indramayu Regency has 79.89%, the widest erosion area of its total coastline length, and Balongan Subdistrict, Indramayu Regency has the widest sedimentation, 91.37% of the total coastline length. The land use that is most affected by erosion and accretion in the coastal area of the Rebana metropolitan area is fishpond.

Coastline Change using Time Series Satellite Images in the North Coast of Java: Study Case Indramayu Regency, West Java, Indonesia

Coastal areas have continuous change due to the interaction between sea and land, which generally causes abrasion and accretion. Indramayu Regency has a coastline of around 147 km. Indramayu Coastal has the characteristics of a sandy beach with a dominant abrasion process triggered by digging beach sand and changes in the function of mangrove land into ponds. We applied remote sensing observation to obtain coastline data on a regular basis. Currently, satellite images support the availability of Landsat data in a relatively short time and cover a wide area. Landsat imagery has been used in the last ten years to detect coastline changes in study areas based on the BILKO and Digital Shoreline Analysis System (DSAS) methods. Abrasion in 2012 – 2022 covers an area of 805.71 ha and accretion covers an area of 941.63 ha. The widest abrasion is in Pasekan with an area of 266,451 ha. The abrasion process in Pasekan is very high due to the influence of high currents and waves from the sea, and the accretion process in Cantigi is very high due to the high supply from the Cimanuk River and the many mangroves that collect sediment that enters the sea.

Evaluation of coastal erosion by using Landsat data in Ca Mau Cape, Ngoc Hien District, Ca Mau Province

Coastal erosion as well as loss of aquaculture, cultivated and residential lands are of great concern in the Mekong Delta, especially in the Ca Mau Cape region. Historical map data and remote sensing images such as Landsat data combined with GPS field surveys are the optimal methods for assessing shoreline changes including coastal erosion and sedimentation. The 57-year coastline change during the period from 1965 to 2022 has been described through the processing of topographic map data published in 1965 and a series of Landsat-1 to Landsat-8 images collected in 1973, 1993, 2003, and 2022. The study found that the northeast of the study area in Cho Thu hamlet, Tam Giang Tay commune was the place where the largest erosion reached an annual average of 42.4 m/year. Due to the development program of afforestation, largest sediment reaches an annual average of 88.7 m/year in Ca Mau Cape National Park in Lach Vam hamlet, Dat Mui commune. However, during the 57-year period, coastal erosion has caused a loss of 1,714 hectares of land or 2.60% of the total area. Results from this work also suggest that the accuracy of the shoreline studies should be improved by using higher satellite data spatial resolution and the GPS system with dual frequencies for Real-time Kinematics (RTK) for coordinate positioning measurement.

COASTSNAP: A GLOBAL CITIZEN SCIENCE PROGRAM TO MONITOR CHANGING COASTLINES USING SMARTPHONES

CoastSnap is a low-cost community beach monitoring program that empowers local communities to collect quantitative measurements of coastline change using their smartphones. Underpinning CoastSnap is a stainless-steel smartphone cradle that is installed overlooking a beach in a location easily accessible to the public. Using the cradle for image positioning, passers-by simply take a photo of the coast and upload it to a centralized database, which in turn provides a crowd-sourced record of coastline change over time.

Characterizing Coastline and Sediment Interaction in The North Coast of Java using Satellite Images

The large amount of sedimentation process caused rapid changes in the coastline presented by capes form in the coastal area. To characterize coastline and sediment interaction used coastline change analysis, hydrological and vegetation indices using Landsat imagery. Accordingly, we successfully characterized the Cirebon coastline into four categories: abrasion, accretion, abrasion to accretion, accretion to abrasion. The NSM range values -1.123,67 m – 1.026,19 m. The highest abrasion (EPR, LRR, WLR) is 33,18 m/y, 31,16 m/y and 31,16 m/y. The highest accretion (EPR, LRR, WLR) 30,3 m/y, 29,16 m/y, 29,16 m/y. The results of the hydrological index parameters show that humidity levels vary from drought (low humidity) to high humidity, but in the eastern part it includes the water surface. The results of the vegetation index parameter show that the vegetation level was dense, moderate to sparsely grown with vegetation, canopy cover varying from low to medium. Clay material (mud) has impermeable properties, so the study area is dominated by accretion because there is large supply sediment from rivers that enter the sea. Based on these data, it can be concluded that the characteristics of the beach are divided into muddy beaches, and coastal structures such as harbor.

SPATIAL ANALYSIS OF COASTAL CHANGE AND DISASTER MITIGATION ON MASAKAMBING ISLAND, SUMENEP REGENCY

Masakambing Island is one of the small islands in Sumenep Regency which has its own uniqueness and beauty. Small islands easily experience changes, one of which is changes in coastlines. The aim of this research is to determine the changes that occur along the coast and mitigation efforts by utilizing hydro-oceanographic parameters. Measurements of coastline changes were obtained from digitization results using the Normalized Different Water Index (NDWI) method with structural and non-structural mitigation efforts based on the parameter data taken. Wind parameters are dominated from the southeast and east with speeds ranging from 0.09 m/s - 22.75 m/s. The wave parameter values obtained were between 0.25 m – 0.83, while the current parameters ranged between 0.006 m/s – 0.642 m/s with the Formhazal number values showing 1.5 – 1.8. The wind was blowing cool and strong, as was the wave height in the slight category. The current flows southwest from the north of the island to the east. Single daily mixed Tide Type. The reduction in the area of Masakambing Island ranges from 0.063 km2 – 1.933 km2. Mitigation efforts that can be considered structurally include creating breakwaters and revetments, strengthening coastal buildings and planting vegetation. Non-structural mitigation that can be carried out includes creating standardization policies for disaster-resistant buildings, exploration and economic activity policies, public awareness as well as counseling and outreach regarding disaster mitigation.

Littoral Drift Impoundment at a Sandbar Breakwater: Two Case Studies along the Bight of Benin Coast (Gulf of Guinea, West Africa)

This study assessed the deposition of sediment and shoreline evolution at two newly constructed port facilities in the Bight of Benin, West Africa. Based on the Building with Nature approach, the concept of a sandbar breakwater was implemented at the study sites. The coastal system of the bight is characterized by a sand barrier-lagoon system and a uniform prevailing wave climate, making it a favorable location for this innovative port solution. The case studies were undertaken at the Port of Lomé, Togo, and the Lekki Deep Sea Port (Dangote Sea Port), Nigeria, using remotely sensed shoreline positions and the one-line coastline change model for different periods. After construction of the breakwater, we estimated that the updrift coastline at the two locations accreted in the range of 10–23 m/year and the rates of sediment deposition were estimated to be in the magnitude of 1.0–7.0 × 105 m3/year. The comparative study conducted also showed that these rates could further reach a magnitude of 106 m3/year at other sediment-accreting landforms within the bight. We found that these large magnitudes of longshore sediment transport generated from very oblique incident waves (10°–20°) and sediment input from rivers (in orders of 106 m3/year) have enabled the realization of expected morphodynamic changes on the updrift shoreline of the ports. From these results, downdrift morphological changes should not be underestimated due to potential imbalances induced in the sedimentary budget along the coastline. Future developmental plans within the bight should also continuously aim to adopt nature-based solutions to protect the ecosystem while mitigating unforeseen implications.

Coastline changes and tidal current responses due to the large-scale reclamations in the Bohai Bay

Coastline changes and tidal current responses due to the large-scale reclamations in the Bohai Bay

Digital shoreline analysis system techniques for stability detection: An applied case study on Port Said, Egypt

This study aims to assess shoreline change rates at al-Gamil Beach, west of Port Said City on the northeastern Mediterranean coast of Egypt. The study area is characterized by two main tidal inlets connected Lake EL-Manzala by the sea and other coastal protection structures. Given that the al-Gamil coastline shall be monitored to explore erosion and sedimentation changes along the shoreline, multi-temporal satellite images and an ArcGIS-based DSAS model application were utilized to identify and measure changes to the coastline. Five Landsat images covering the study area were used to identify patterns of coastline accretion and erosion. These images were corrected geometrically and radiometrically to help the investigation process of coastline change rates. The three DSAS statistical models: Linear Regression Rate, End Point Rate, and Net Shoreline Movement were used to assess the shoreline change rate. Based on these findings, the shoreline has alternate exposure to accretion and erosion at varying rates, where the average rate of accretion is nearly +9 m/year, while the maximum rate of erosion is about −27 m/year.

Simulation on coastline change impacted by a groyne as shore protection

The existence of groynes can affect the morphology of seashore. Groynes are structures that are mainly built to prevent erosion and enable sediment transport forming accretion on the shore. In the long term, erosion and sediment transport will cause a change in coastline. This paper aims to observe how the coastline will change due to the installment of a groyne on the shore. The coastline curves were simulated by using mathematical modeling. The coastline change equation which was derived from the continuity equation was solved by using the Laplace transform. The results indicate that erosion takes place on the downdrift side of the groyne while accretion takes place on the updrift side. The magnitudes of erosion and accretion increase over time. The increase rates was observed by applying variation to the value of the parameter such as breaking wave speed.

Spatio-temporal changes of coastline in Jiaozhou Bay from 1987 to 2022 based on optical and SAR data

In the past 35 years, the natural coastline along Jiaozhou Bay has undergone extensive changes under the influence of human activities, and the coastal wetland area has been drastically reduced. Therefore, it is of great importance to study the spatio-temporal changes of the Jiaozhou Bay coastline, and their trends and causes, for sustainable economic development and the rational utilization of coastal resources. This paper constructed a comprehensive method for extracting the coastline information and change analysis based on long time series remote sensing data. Based on multi-spectral optical data and dual-polarization SAR data, the Normalized Difference Water Index (NDWI) and the Sentinel-1 Dual-polarized Water body Index (SDWI) combined with the Otsu threshold segmentation method were used to automatically extract the spatial distribution of coastline. The U-Net semantic segmentation model was used to classify the land cover types in the land direction of the coastline to count the coastline types. The End Point Rate (EPR) and Linear Regression Rate (LRR) were used to analyze the coastline changes, and the land reclamation was calculated according to the changing trends. The Pearson coefficient was used to study the reasons for the coastline changes. With an average time interval of 5 years, eight coastlines of Jiaozhou Bay in different years were extracted, and the coastline types were obtained. Then, the changes of the coastlines in Jiaozhou Bay from 1987 to 2022 were analyzed. The results show that: 1) Coastline type information provides important information for analyzing the coastline changes in long time series, and coastline information can be effectively extracted using multi-spectral optical data and dual-polarization SAR data. When the resolution of remote sensing data is 30m, the average error of the two types of data is better than one pixel, and the error between the data is about 1-2 pixels. 2) Based on the U-Net model, the overall accuracy of coastline classification using multi-spectral optical data and dual-polarization SAR data is 94.49% and 94.88%, respectively, with kappa coefficients of 0.9143 and 0.8949. 3) In the past 35 years, Jiaozhou Bay area has shown an obvious trend towards the ocean, with an average annual expansion of 16.723m. 4) The coastline of the Jiaozhou Bay area is dynamic. Due to the frequent human activities, the coastline has been reconstructed on a large scale, and the length of artificial coastline has increased significantly. The proportion of artificial coastline length has increased from 33.72% in 1987 to 59.33% in 2022. 5) In the past 35 years, the land reclamation area has reached 41.45km2, of which Shibei District, Licang District, and Huangdao District are the three most frequent areas, with an area of 34.62 km2.

Melting ice and rising seas – connecting projected change in Antarctica’s ice sheets to communities in Aotearoa New Zealand

ABSTRACT Changes in global mean sea level are a clear indicator of a warming climate, but local factors including land subsidence or uplift, cause changes in relative sea level that drive shoreline shifts. These local changes and their impact on coastal hazards matter to coastal communities. NZ SeaRise produced relative sea level projections for Aotearoa to include the latest global climate and Antarctic Ice Sheet research and estimates of vertical land movement at high spatial resolution. Research-informed communication to the public and planners included a web-based projections tool supplemented by written and visual narratives, and a media engagement plan. This communication, and analysis of media impact, provided a case study for audience-relevant information on sea-level rise. Information regarding shoreline change and evolving hazards, required for risk assessment, was not included in the NZ SeaRise projections. New research is needed to reduce uncertainty in future Antarctic Ice Sheet contribution to sea level, link changes in sea surface height to our dynamic land surface and enhance communication approaches. Several examples of the required research are presented here but ongoing efforts must refine the timing and magnitude of coastline change, better define coastal hazards and risks, and develop appropriate adaptation strategies for unavoidable climate change impacts.

Study on the Impact of the Coastline Changes on Hydrodynamics in Xiangshan Bay

Coastline changes have significant impacts on coastal hydrodynamics. Xiangshan Bay is a semi-closed and long-narrow bay located in Zhejiang Province, China. Its coastline has changed dramatically in recent decades; however, the variations in the small-scale hydrodynamics in the changed coastline areas have not been carefully studied. This study uses the Finite-Volume Community Ocean Model (FVCOM) to design a set of control experiments and five sets of compared experiments targeting the areas with significant coastline changes in Xiangshan Bay over the past 21 years. It was found that the coastline changes at the mouth of the bay, such as areas near Meishan Island and Dasong, have a significant impact on both residual currents and tidal currents, changing the amplitudes and phase distributions of the tides. Coastline changes in the inner bay have lesser impacts on hydrodynamics, mainly affecting the small-scale areas in the vicinity.

Population Growth and Environmental Damage Issues (A Review of Environmental Damage on Land Conversion Perspective in North Jakarta)

Population and environmental issues are two things that are not being separated from one another. Humans along with other living creatures are a component of life that always interact with the environment. The ecosystem itself is the order of the ecological elements. This study will describe how the impact of population density on social, economic and ecological aspects of changes in an area undergoing conversion in Jakarta Bay. Literature and comparative studies of results from various sources in journal articles are primary data used as main data in the analysis of population and environmental damage studies. The results of this study describe how the total area of ​​mangrove forest and changes in coastline experienced by shifting caused by the increase in residential areas due to population density in the Jakarta Bay North Jakarta. The study related to changes in the area of ​​mangrove forests and coastlines, especially connected due to residential development from land consumption due to population density in Jakarta Bay.