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作 者:郑修诚 周斌[1,2,3] 雷惠 黄祺宇[3] 叶浩林 ZHENG Xiucheng;ZHOU Bin;LEI Hui;HUANG Qiyu;YE Haolin(Institute of Remote Sensing and Earth Science,Hangzhou Normal University,Hangzhou 311121,China;Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change,Hangzhou 311121,China;School of Information Science and Technology,Hangzhou Normal University,Hangzhou 311121,China)
机构地区:[1]杭州师范大学遥感与地球科学研究院,杭州311121 [2]浙江省城市湿地与区域变化研究重点实验室,杭州311121 [3]杭州师范大学信息科学与技术学院,杭州311121
出 处:《自然资源遥感》2022年第1期18-26,共9页Remote Sensing for Natural Resources
基 金:浙江省重点科技创新团队项目“城市湿地生态修复与资源利用科技创新团队”(编号:2010R50039);攀登工程二期“湿地生态系统保护与治理”(编号:PD2015306)共同资助。
摘 要:当前常见的潮滩遥感提取方法往往通过估算来确定潮滩的边界,难以保证较高的提取精度。本研究结合GEE遥感云计算平台和GIS技术,选用1990—2021年间共77景Landsat卫星影像,通过目视解译人工海岸线作为平均高潮线,利用水边线拟合平均低潮线,实现了对杭州湾南岸慈溪段的潮滩提取和面积估算,分析了潮滩区域时空变化。研究表明,杭州湾南岸慈溪段潮滩面积基本维持在20000~24000 hm^(2)区间;空间变化趋势是由南向北迁移,迁移速度为286.9 m·a^(-1);影响潮滩面积和空间变化的最主要驱动力是地方政策。At present,the common methods for extracting tidal flats using remote sensing images tend to estimate tidal flat boundaries.Therefore,it is difficult to ensure high extraction accuracy.This study combined remote sensing cloud computing platform Google Earth Engine with the geographic information system(GIS)technology and selected 77 Landsat images during 1990—2021.Meanwhile,the mean high-tide line was set to the artificial coastline obtained through visual interpretation,and the mean low-tide line was determined through the fitting of the shoreline.Based on these,this study extracted the tidal flat in the Cixi section on the south bank of the Hangzhou Bay and estimated its area.Furthermore,this study analyzed the spatio-temporal changes in the area of the tidal flat.The results are as follows.During 1990—2021,the area of the tidal flat in the Cixi section on the south bank of the Hangzhou Bay was roughly maintained in the range of 20000~24000 hm^(2),and the tidal flat migrated from south to north at a speed of 286.9 m·a^(-1).The main driving force behind the spatial and area changes of the tidal flat was local policies.
关 键 词:潮滩 Google Earth Engine DSAS 水边线 杭州湾
分 类 号:TP79[自动化与计算机技术—检测技术与自动化装置]
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