Geo-Informatics in Resource Management and Sustainable Ecosystem
International Conference, GRMSE 2014, Ypsilanti, USA, October 3-5, 2014, Proceedings
Published on 3. March 2015
Book
Paperback/Softback
XVIII, 765 pages
978-3-662-45736-8 (ISBN)
Description
This volume constitutes the refereed proceedings of the Second International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystem, GRMSE 2014, held in Ypsilanti, MI, China, in December 2014. The 73 papers presented were carefully reviewed and selected from 296 submissions. The papers are divided into topical sections on smart city in resource management and sustainable ecosystem; spatial data acquisition through RS and GIS in resource management and sustainable ecosystem; ecological and environmental data processing and management; advanced geospatial model and analysis for understanding ecological and environmental process; applications of geo-informatics in resource management and sustainable ecosystem.
More details
Series
Edition
2015 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
344 s/w Abbildungen
XVIII, 765 p. 344 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 42 mm
Weight
1165 gr
ISBN-13
978-3-662-45736-8 (9783662457368)
DOI
10.1007/978-3-662-45737-5
Schweitzer Classification
Other editions
Additional editions
Fuling Bian | Yichun Xie
Geo-Informatics in Resource Management and Sustainable Ecosystem
International Conference, GRMSE 2014, Ypsilanti, USA, October 3-5, 2014, Proceedings
E-Book
02/2015
Springer
€96.29
Available for download
Content
Smart city in resource management and sustainable ecosystem.- Spatial data acquisition through RS and GIS in resource management and sustainable ecosystem.- Ecological and environmental data processing and management.- Advanced geospatial model and analysis for understanding ecological and environmental process.- Applications of geo-informatics in resource management and sustainable ecosystem.