Coastline extraction and land use change analysis using remote sensing (RS) and geographic information system (GIS) technology – A review of the literature

Yasir, Muhammad; Sheng, Hui; Huang, Bin; Rahman, Sami Ur

doi:10.1515/reveh-2019-0103

Cited by 26 publications

(17 citation statements)

References 22 publications

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“…The use of GIS and remote sensing tools to analyze land use change is the most common approach [14,15]. For example, Arefin [16], Aal [17], Rahman [18], Suribabu [19], Zadbagher [20], Obeidat [21], Enoguanbhor [22], and Abuelaish [23] conducted critical analysis, respectively, of land use change in Rajshahi in Bangladesh, Najran City in Saudi Arabia, Delhi and Tiruchirapalli City in Bangladesh, Seyhan Basin in Turkey, Yarmouk River Basin in Jordan, Abuja City-Region in Nigeria, and Gaza Strip in Palestine, identifying the changing trends in different types of land such as urban construction land, cultivated land, and green space.…”

Section: Literature Review 21 Research Methods and Modelmentioning

confidence: 99%

A Dynamic Performance and Differentiation Management Policy for Urban Construction Land Use Change in Gansu, China

Zhang

Zhao

et al. 2022

Land

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Making efforts to promote rationalized urban construction land change, distribution, allocation, and its performance is the core task of territory spatial planning and a complex issue that the government must face and solve. Based on the Boston Consulting Group matrix, a decoupling model, and a GIS tool, this paper constructs a new tool that integrates “dynamic analysis + performance evaluation + policy design” for urban construction land. We reached the following findings from an empirical study of Gansu, China: (1) Urban construction land shows diversified changes, where expansion is dominant and shrink cannot be ignored. (2) Most cities are in the non-ideal state of LH (Low-High) and LL (Low-Low), with a small number in the state of HH (High-High) and HL (High-Low). (3) Urban construction land change and population growth, economic development, and income increase are in a discordant relationship, mostly in strong negative decoupling and expansive negative decoupling. (4) The spatial heterogeneity of urban construction land change and its performance are at a high level, and they show a slow upward trend. Additionally, the cold and the hot spots show obvious spatial clustering characteristics, and the spatial pattern of different indexes is different to some extent. (5) It is suggested that in territory spatial planning Gansu should divide the space into four policy areas—incremental, inventory, a reduction development policy area, and a transformation leading policy area—to implement differentiated management policies and to form a new spatial governance system of “control by zoning and management by class.” The change of urban construction land, characterized by dynamics and complexity, is a direct mapping of the urban growth process. The new tools constructed in this paper will help to reveal the laws of urban development and to improve the accuracy of territory spatial planning in the new era. They are of great theoretical significance and practical value for promoting high-quality and sustainable urban development.

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Section: Literature Review 21 Research Methods and Modelmentioning

confidence: 99%

A Dynamic Performance and Differentiation Management Policy for Urban Construction Land Use Change in Gansu, China

Zhang

Zhao

et al. 2022

Land

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“…e South Atlantic Ocean has a year-round average of 1,223 mm and a total of 1,519 million cubic meters, the average multiyear runoff depth is 471.4 mm, the total water resources are 586 million cubic meters, including a total of 145 million cubic meters of groundwater resources, salt flats, and seawater, and the flow produced on the land for aquaculture is equivalent to 25% of the total resources [12].…”

Section: Gis Marine Ecosystem Data Monitoring and Extractionmentioning

confidence: 99%

GIS-Based Remote Sensing Image Information Analysis of the South Atlantic Ecological Environment and Diversity of Deep-Sea Microorganism with Antifungal Effects

Yan

2022

Advances in Mathematical Physics

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This paper uses the GIS technology to collect location and geographic information of the South Atlantic ecological environment and then uses the remote sensing image technology to extract and analyse the collected information to provide a strong basis for maintaining a healthy marine ecological environment. Based on multitemporal remote sensing images, this paper constructs an ecological vulnerability evaluation model for marine by coupling several ecological indicators, analyses the status of marine ecological environment and its dynamic changes, explores the driving factors of its changes, further analyses the relationship between ecological vulnerability, land use changes, and landscape patterns, and proposes targeted ecological protection countermeasures for marine ecological environment. This paper analyses and studies the quality control mechanism of marine environment monitoring data, the construction of marine environment evaluation model, and the automation of evaluation and early warning response based on the application of GIS, with the support of marine environment evaluation and early warning business, to enhance the availability and integrity of marine environment monitoring data, improve the execution efficiency of marine environment evaluation business and early warning response, reduce the risk of marine environment emergencies, and realize the integration and intelligence of marine environment evaluation and early warning, to improve the level of Informa ionization and management of marine environment evaluation business in marine management departments. The operational watershed ecological environment monitoring service system built in this paper, which integrates GIS, RS, GPS, data warehouse, and other information technologies, has the advantages of high accuracy of information extraction, convenient data management, good portability, and strong operability, which can provide a scientific basis for the unified scheduling management of the marine environment, ecological environment evaluation, and sustainable development planning of the economy, and it is of great theoretical and practical significance and can be used in other watersheds. Meanwhile, the unique environment of the ocean has endowed the marine microorganism with affluent diversity, which can display a variety of bioactivities. In this study, thirty-two seawater and sediment samples were collected from different depths within the scope of 5 m to 3203 m at 18 sampling sites in the South Atlantic Ocean. 1017 culturable strains were obtained after isolation and identification. The tip culture method was used to screen strains with antifungal and antiaflatoxigenic activities. The tip culture results showed that a total of thirty-one marine strains were confirmed to have significant antagonism against aflatoxin production with an inhibition ratio exceeding 80%, including 11 strains with a mycelial growth inhibition ratio exceeding 80% simultaneously. The variability of culturable bacterial distribution and diversity were studied by phylogenetic analysis of 16S rRNA sequences. Phylogenetic analysis of 16S rRNA sequences revealed a significant diversity of culturable strains. A total of 31 strains clustered into 13 genera: Marinobacter sp., Pseudomonas sp., Alteromonas sp., Idiomarina sp., Halomonas sp., Alcanivorax sp., Thalassospira sp., Jannaschia sp., Stakelama sp., Erythrobacter sp., Chengkuizengella sp., Bacillus sp., and Microbacterium sp. The 31 strains with antifungal and antiaflatoxigenic activities were dominated by populations of strains belonging to the genus Thalassospira (19.35%). To the best of our knowledge, this is also the first report to analyse the diversity of culturable bacteria with antifungal and antiaflatoxigenic activities in the South Atlantic Ocean from three perspectives: different media, different sampling stations, and different sampling depths.

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“…Therefore, the existing coastline monitoring methods have many limitations; for example, they are time-consuming and labor-intensive and have a limited monitoring range and long detection period. With the advent of remote sensing big data, remote sensing images have been widely used to extract and detect coastlines [3,4]. Now, researchers can use multiple types of satellites to obtain remote sensing data.…”

Section: Introductionmentioning

confidence: 99%

Monitoring Coastline Changes of the Malay Islands Based on Google Earth Engine and Dense Time-Series Remote Sensing Images

Ding

Yang

et al. 2021

Remote Sensing

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The use of remote sensing to monitor coastlines with wide distributions and dynamic changes is significant for coastal environmental monitoring and resource management. However, most current remote sensing information extraction of coastlines is based on the instantaneous waterline, which is obtained by single-period imagery. The lack of a unified standard is not conducive to the dynamic change monitoring of a changeable coastline. The tidal range observation correction method can be used to correct coastline observation to a unified climax line, but it is difficult to apply on a large scale because of the distribution of observation sites. Therefore, we proposed a coastline extraction method based on the remote sensing big data platform Google Earth Engine and dense time-series remote sensing images. Through the instantaneous coastline probability calculation system, the coastline information could be extracted without the tidal range observation data to achieve a unified tide level standard. We took the Malay Islands as the experimental area and analyzed the consistency between the extraction results and the existing high-precision coastline thematic products of the same period to achieve authenticity verification. Our results showed that the coastline data deviated 10 m in proportion to a reach of 40% and deviated 50 m within a reach of 89%. The overall accuracy was kept within 100 m. In addition, we extracted 96 additional islands that have not been included in public data. The obtained multi-phase coastlines showed the spatial distribution of the changing hot regions of the Malay Islands’ coastline, which greatly supported our analysis of the reasons for the expansion and retreat of the coastline in this region. These research results showed that the big data platform and intensive time-series method have considerable potential in large-scale monitoring of coastline dynamic change and island reef change monitoring.

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Coastline extraction and land use change analysis using remote sensing (RS) and geographic information system (GIS) technology – A review of the literature

Cited by 26 publications

References 22 publications

A Dynamic Performance and Differentiation Management Policy for Urban Construction Land Use Change in Gansu, China

A Dynamic Performance and Differentiation Management Policy for Urban Construction Land Use Change in Gansu, China

GIS-Based Remote Sensing Image Information Analysis of the South Atlantic Ecological Environment and Diversity of Deep-Sea Microorganism with Antifungal Effects

Monitoring Coastline Changes of the Malay Islands Based on Google Earth Engine and Dense Time-Series Remote Sensing Images

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