自然资源遥感2025，Vol.37Issue(2)：235-245,11.DOI:10.6046/zrzyyg.2023370
基于GEE和时序主被动影像的广西北部湾红树林时空动态监测研究
Monitoring the spatiotemporal dynamics of mangrove forests in Beibu Gulf,Guangxi Zhuang Autonomous Region,China,using Google Earth Engine and time-series active and passive remote sensing images
摘要
Abstract
Mangrove forests are recognized as one of the most biodiverse and productive marine ecosystems globally.This study investigated Beibu Gulf,Guangxi Province.Using Landsat,Sentinel,and PALSAR SAR images from 1985 to 2019 as data sources,as well as the Google Earth Engine(GEE)cloud platform,this study established a multisource dataset by integrating spectral bands,spectral indices,texture features,digital elevation models(DEMs),and backscatter coefficients.Furthermore,14 classification schemes were developed,and a mangrove remote sensing recognition model was built using an object-based random forest(RF)algorithm.Accordingly,the long-time-series spatiotemporal dynamics of mangrove forests in Beibu Gulf were monitored.The monitoring results show that the object-based RF algorithm demonstrates a high ability to identify mangrove forests.Specifically,Scheme 3 combined with data from 2019 yielded the highest overall accuracy(96.3％)and a kappa coefficient of 0.956,which are 16.3％ and 0.195 higher than those of Scheme 1 combined data from 1995,respectively.The classification schemes differed in the producer's and user's accuracy of different surface features in the Beibu Gulf.Specifically,these schemes yielded the highest user's and producer's accuracy of mangrove forests exceeding 94.6％ and 92.0％,respectively.From 1985 to 2019,the area of mangrove forests in Beibu Gulf showed an increasing trend,with an annual changing rate of 6.63％,and the area expanded from inland to coastal areas.The results of this study provide a reference for the protection and sustainable management of mangrove forests while also verifying the feasibility of monitoring long-term spatiotemporal dynamics of mangrove forests based on the GEE platform.关键词
北部湾/红树林/Google Earth Engine/主被动影像/随机森林算法/动态监测Key words
Beibu Gulf/mangrove forest/Google Earth Engine/active and passive remote sensing images/random forest(RF)algorithm/dynamic monitoring分类
信息技术与安全科学引用本文复制引用
邓建明,姚航,付波霖,顾森,唐婕,甘园园..基于GEE和时序主被动影像的广西北部湾红树林时空动态监测研究[J].自然资源遥感,2025,37(2):235-245,11.基金项目
广西科学研究与技术开发计划重点研发项目"基于卫星遥感影像的河流水库水质污染预警应用技术研究"(编号:桂科 AB22080046)、"北部湾典型海湾与入海河流环境耦合效应与一体化监控技术研究"(编号:桂科 AB16380247)、国家自然科学基金项目"基于遥感反演的岩溶湿地植被功能性状对水文水质响应机制研究"(编号:42371341)、广西自然科学基金项目"耦合星-机-地高光谱遥感的红树林营养元素含量多尺度反演研究"(编号:2024GXNSFAA010351)和广西水利科技推广项目"空天遥感技术在河流水资源环境监测评估与预警中的应用"(编号:SK-2023-01)共同资助. （编号:桂科 AB22080046）
