维普中文期刊产品整合服务

A generalized supervised classification scheme to produce provincial wetland inventory maps:an application of Google Earth Engine for big geo data processing

查看全文 作　　者：Meisam [1]Amani;Brian [2]Brisco;Majid [3]Afshar;S.Mohammad [4]Mirmazloumi;Sahel [1]Mahdavi;Sayyed Mohammad Javad [5]Mirzadeh;Weimin [6]Huang;Jean [7]Granger 高影响力作者 机构地区：[1]Wood Environment&Infrastructure Solutions,St.John’s,NL,Canada;[2]The Canada Center for Mapping and Earth Observation,Ottawa,Ontario,Canada;[3]Department of Computer Science,Memorial University of Newfoundland,St.John’s,NL,Canada;[4]Remote Sensing Research Center,Faculty of Geodesy and Geomatics Engineering,K.N.Toosi University of Technology,Tehran,Iran;[5]Shanghai Astronomical Observatory,University of Chinese Academy of Science,Shanghai,China;[6]Department of Electrical Engineering,Faculty of Engineering and Applied Science,Memorial University of Newfoundland,St.John’s,NL,Canada;[7]C-CORE,St.John’s,NL,Canada高影响力机构 出　　处：《Big Earth Data》索引2019年第3卷第4期,共17页高影响力期刊 基　　金：supported by the Canada Centre for Mapping and Earth Observation of Natural Resources Canada(NRCan). 摘　　要：Wetlands are important natural resources due to their numerous ecological services.Consequently,identifying their locations and extents is imperative.The stability,repeatability,cost-effectiveness,multi-scale coverage,and proper spatial resolution imagery of satellites provide a valuable opportunity for their use in various large-scale applications,such as provincial wetland mapping.To do so,it is required to(1)process and classify big geo data(i.e.a large amount of satellite datasets)in a time-and computationally-efficient approach and(2)collect a large amount of field samples.In this study,Google Earth Engine(GEE)and machine learning algorithms were utilized to process thousands of remote sensing images and produce provincial wetland inventory maps of the three Canadian provinces of Manitoba,Quebec,and Newfoundland and Labrador(NL).Additionally,using GEE,a generalized supervised classification method is proposed to produce a regional wetland map from a large area(e.g.,a province)when lacking field samples.In fact,using the field data from only Manitoba and assuming that all wetlands in Canada have similar characteristics,the wetland maps were generated for the other two provinces.The overall classification accuracies for Manitoba,Quebec,and NL were 84%,78%,and 82%,respectively,indicating the high potential of the proposed method for aiding provincial wetland inventory systems. 关 键 词：WETLANDS remote sensing Google Earth Engine big geo data image classification
相关文献

参考文献(45)

引证文献(5)

网站首页 | 关于我们 | 联系我们 | 产品服务 | 客服中心 | 广告服务 | 版权声明 | 网站联盟 | 友情链接 | 售卡网点

版权所有© 渝B2-20050021-1　渝公网安备 50019002500403号　违法和不良信息举报中心

互联网出版许可证 新出网证(渝)字10号 全国400电话 - 免长途话费