Temporal and Spatial Changes of Xiangshan Bay Coastline Based on Remote Sensing and GIS

2019 ◽  
Vol 09 (09) ◽  
pp. 764-771
Author(s):  
发群 付
Keyword(s):  
Remote Sensing ◽  
Remote Sensing And Gis ◽  
Xiangshan Bay ◽  
Spatial Changes ◽  
Temporal And Spatial

scholarly journals Remote Sensing Based Spatial-Temporal Monitoring of the Changes in Coastline Mangrove Forests in China over the Last 40 Years

2021 ◽  
Vol 13 (10) ◽  
pp. 1986
Author(s):  
Junyao Zhang ◽  
Xiaomei Yang ◽  
Zhihua Wang ◽  
Tao Zhang ◽  
Xiaoliang Liu
Keyword(s):  
Remote Sensing ◽  
Landscape Pattern ◽  
Remote Sensing Data ◽  
Distribution Area ◽  
Mangrove Forests ◽  
Landscape Index ◽  
National Scale ◽  
Spatial Changes ◽  
Temporal And Spatial ◽  
Degree Of Fragmentation

As a developing country, China’s mangrove landscape pattern has undergone significant temporal and spatial changes over the last four decades. However, we know little about the changes in the mangrove landscape pattern characteristics other than the area at the national scale. The analysis of mangrove landscape pattern changes from different perspectives on a national scale can provide scientific support for mangrove protection and restoration. In this study, the temporal and spatial changes in the pattern of the mangrove landscape over the last 40 years in China were analyzed based on remote sensing data with high classification accuracy (99.3% of 2018). First, according to the natural geographical conditions of the coastal zone and the distribution of the mangroves, the distribution area of the mangroves in China was divided into 31 natural shores. Then, by selecting representative landscape indexes and constructing an integrated landscape index, the spatial-temporal changes in the landscape pattern of China’s mangroves over the last 40 years were analyzed based on five perspectives: Total area change, shape complexity, connectivity, fragmentation, and the integrated state of the landscape. From a temporal viewpoint, before 2000, the total area of each shore exhibited a downward trend, and the degree of connectivity deteriorated continuously, but the degree of fragmentation was stable at a low level. After 2000, although the total area improved, the degree of fragmentation gradually increased. The spatial changes are mainly reflected by the fact that the shores in Guangdong and Hainan exhibited significant differences within the same province. Based on the above analysis, corresponding scientific suggestions are proposed from temporal and spatial viewpoints to provide guidance for mangrove management and protection in China and to provide a reference for mangrove research in other regions of the world.

scholarly journals Exploring the Spatial–Temporal Analysis of Coastline Changes Using Place Name Information on Hainan Island, China

2021 ◽  
Vol 10 (9) ◽  
pp. 609
Author(s):  
Jisheng Xia ◽  
Guize Luan ◽  
Fei Zhao ◽  
Zhiyan Peng ◽  
Lu Song ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Hainan Island ◽  
Temporal Analysis ◽  
Coastal Development ◽  
Remote Sensing Images ◽  
Coastline Change ◽  
Sensing Technology ◽  
Spatial Changes ◽  
Temporal And Spatial ◽  
The Impact

A coastline is the boundary zone between land and sea, an active zone of human social production activities and an area where the ecology is fragile and easy to change. The traditional method to analyze temporal and spatial changes in the coastline is to extract the coastline through remote sensing, LiDAR, and field sampling and analyze the temporal and spatial changes with statistical data. The coastline extracted by these methods has high spatial and temporal resolution, but it requires remote sensing images and data obtained by other sensors, so it is impossible to extract coastlines from before the emergence of remote sensing technology. This paper improves the coastline generation algorithm. Firstly, a triangulated irregular network is used to generate the preliminary rough coastline, and then, each line segment is optimized with Python language according to the influence range of the place names to further approach the real coastline. The accuracy of the coastline extracted by this method can reach 80% within 500 m, which is of great significance in the mapping and analysis of small- and medium-scale coastlines. This paper analyzes the changes in the coastline of Hainan Island before the founding of China (pre-founding) and in modern times and analyzes the impact of coastal development on coastline change. Through the analysis, it is found that, from before the founding of the People’s Republic of China to the present, the natural coastline of Hainan Island has become shorter, the artificial coastline has become longer, and the coastline generally presents a trend of advancing toward the ocean. This method realizes coastline construction under the condition of missing remote sensing images and puts forward a new way to study historical coastline changes.

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