Information extraction and spatio-temporal evolution analysis of the coastline in Hangzhou Bay based on Google Earth Engine and remote sensing technology

doi:10.6046/zrzyyg.2022214

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Abstract

The continuous monitoring of the dynamic changes in coastlines is crucial to ascertaining the change patterns and evolution characteristics of coastlines. Long-time-series coastline datasets allow for the detailed description of the dynamic changes in coastlines from the spatio-temporal dimensions and further reflect the effects of human activities and natural factors on coastal areas. Therefore, they are conducive to the scientific management and sustainable development of the spatial resources in coastal wetlands. Based on the Google Earth Engine (GEE), this study analyzed the change in the coastline of Hangzhou Bay during 1990—2019 based on long-time-series Landsat TM/ETM+/OLI images. Using the pixel-level modified normalized difference water index (MNDWI) time series reconstruction technology, this study achieved the automatic information extraction of long-time-series coastlines and the analysis of spatio-temporal changes by combining the Otsu algorithm threshold segmentation and the Digital Shoreline Analysis System. The results show that the total coastline length of Hangzhou Bay increased by about 20.69 km during 1990—2019, corresponding to an increase in the land area by about 764.81 km², with an average annual increase rate of 0.35%. In addition, the average end point rate (EPR) and linear regression rate (LRR) of the coastline were 110.07 m/a and 119.06 m/a, respectively. The analysis of the spatio-temporal evolution of the coastline in Hangzhou Bay over 30 years will provide a basis for the sustainable development and comprehensive management of resources along the coastline in Hangzhou Bay.

Keywords coastline Hangzhou Bay Google Earth Engine spatio-temporal evolution

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Issue Date: 07 July 2023

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	Lin ZHU
	Yuling HUANG
	Gang YANG
	Weiwei SUN
	Chao CHEN
	Ke HUANG

Cite this article:

Lin ZHU,Yuling HUANG,Gang YANG, et al. Information extraction and spatio-temporal evolution analysis of the coastline in Hangzhou Bay based on Google Earth Engine and remote sensing technology[J]. Remote Sensing for Natural Resources, 2023, 35(2): 50-60.

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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2022214 OR https://www.gtzyyg.com/EN/Y2023/V35/I2/50

Fig.1 Location of study area

Tab.1 Landsat imagery for coastline extraction

Fig.2 Technology route of coastline extraction

Fig.3 Distribution of coastlines over the Hangzhou Bay from 1990 to 2019

Tab.2 Accuracy assessment of coastline information

Fig.4 Changes of line length and area in Hangzhou Bay from 1990 to 2019

Fig.5 Staged accretion and erosion areas over the Hangzhou Bay from 1990 to 2019

Fig.6 Distribution of coastline change rate of Hangzhou Bay from 1990 to 2019

Fig.7 Coastline change rate of Hangzhou Bay from 1990 to 2019

Fig.8 Coastline distribution in key areas of Hangzhou Bay from 1990 to 2019

Fig.9 Change rate of coastline in key areas of Hangzhou Bay from 1990 to 2019

Fig.10 Correlation of water discharge, sediment load, coastline length and area in Hangzhou Bay from 1990 to 2019

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