Temporal-spatial changes and driving analysis of the northern shorelines of Jiaodong Peninsula

ZHAO Lianjie; WU Mengquan; ZHENG Longxiao; LUAN Shaopeng; ZHAO Xianfeng; XUE Mingyue; LIU Jiayan; LIU Chenxi

doi:10.6046/zrzyyg.2022101

2022 Vol. 34, No. 4

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Article navigation > Remote Sensing for Natural Resources > 2022 > 34(4): 87-96

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ZHAO Lianjie, WU Mengquan, ZHENG Longxiao, LUAN Shaopeng, ZHAO Xianfeng, XUE Mingyue, LIU Jiayan, LIU Chenxi. 2022. Temporal-spatial changes and driving analysis of the northern shorelines of Jiaodong Peninsula. Remote Sensing for Natural Resources, 34(4): 87-96. doi: 10.6046/zrzyyg.2022101

Citation:

ZHAO Lianjie, WU Mengquan, ZHENG Longxiao, LUAN Shaopeng, ZHAO Xianfeng, XUE Mingyue, LIU Jiayan, LIU Chenxi. 2022. Temporal-spatial changes and driving analysis of the northern shorelines of Jiaodong Peninsula. Remote Sensing for Natural Resources, 34(4): 87-96. doi: 10.6046/zrzyyg.2022101

Temporal-spatial changes and driving analysis of the northern shorelines of Jiaodong Peninsula

1. School of Resources and Environmental Engineering, Ludong University, Yantai 264039, China；
2. Yantai Geographic Information Center, Yantai 264000, China；
3. Yantai Land Reserve and Use Centre, Yantai 264000, China；
4. School of Earth Sciences, Yangtze University, Wuhan 430100, China

Received Date: 21 March 2022

Revised Date: 15 December 2022

Publish Date: 27 December 2022

Abstract

Abstract

Dynamic shoreline monitoring is greatly significant for the scientific management of coastal zones and the rational utilization of marine resources. Based on the Landsat remote sensing images of four periods i.e., 1990, 2000, 2010, and 2020, this study extracted the changes in the shorelines and the coastal zones within the 2 km of the buffer zone in the north of Jiaodong Peninsula from 1990 to 2020 by making comparison and using an object-oriented method. By combining the calculation method for shoreline change intensity, this study analyzed the changing rate and temporal-spatial distribution characteristics of the shorelines using the digital shoreline analysis system (DSAS). Then, this study conducted a driving analysis of changes in the shoreline by constructing a human activity intensity index (HAII) model. The results are as follows. The shorelines of the study area generally showed an upward trend and advanced slowly to the seaside. The overall length of the shorelines increased by 183.13 km. The highest increased and decreased amplitude occurred in artificial shorelines and sandy natural shorelines, respectively. The shoreline changing rates showed uneven temporal-spatial distribution. The maximum growth rate of 94.59 m/a occurred in the Jiaolai River - Jiehe River section, while the maximum erosion rate of -49.01 m/a occurred in the Jiehe River - Dagujia River section. The changes in offshore human activities were the main contributor to the temporal-spatial changes of coastlines in the study area. The lengths and types of shorelines were mainly affected by human activities through sea reclamation and port construction.
- object oriented /
- SVM /
- DSAS /
- temporal and spatial changes /
- human activity intensity index

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References

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