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Titlebook: Geo-informatics in Sustainable Ecosystem and Society; 6th International Co Yichun Xie,Anbing Zhang,Lili Feng Conference proceedings 2019 Sp

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書目名稱Geo-informatics in Sustainable Ecosystem and Society
副標(biāo)題6th International Co
編輯Yichun Xie,Anbing Zhang,Lili Feng
視頻videohttp://file.papertrans.cn/384/383035/383035.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Geo-informatics in Sustainable Ecosystem and Society; 6th International Co Yichun Xie,Anbing Zhang,Lili Feng Conference proceedings 2019 Sp
描述.This book constitutes the refereed proceedings of the 6th International Conference on Geo-informatics in Sustainable Ecosystem and Society, GSES 2018, held in Handan, China, in September 2018...The 46 papers presented in this volume were carefully reviewed and selected from 153 submissions and focus on spatial data acquisition, processing and management, modeling and analysis, and recent applications in the context of building healthier ecology and resource management using advanced remote sensing technology and spatial data modeling and analysis..
出版日期Conference proceedings 2019
關(guān)鍵詞Airborne Lidar; Artificial Intelligence; Image Processing; Image Reconstruction; Imaging Systems; K-means
版次1
doihttps://doi.org/10.1007/978-981-13-7025-0
isbn_softcover978-981-13-7024-3
isbn_ebook978-981-13-7025-0Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Singapore Pte Ltd. 2019
The information of publication is updating

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https://doi.org/10.1007/978-3-322-98873-7nneratia apetala) are exotic mangrove species in Shenzhen Bay. Study on the Sonneratia potential impact on native mangrove species requires accurate and repeatable mapping of Sonneratia distribution. Several previous studies have mapped mangrove extent and species, but Sonneratia have been largely i
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https://doi.org/10.1007/978-3-531-93071-8of loess ecosystem and the sustainable development of regional environment, but lack of research in special soil such as loess. Distribution characteristics and pollution sources of heavy metals in the northern loess area of Baoji is studied by means of geo-statistics and cluster analysis. The resul
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