GeoServer Based Forestry Spatial Data Sharing and Integration

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Spatial data is becoming increasingly important in forestry resource management and decision making. However, huge amount of accumulated spatial data were not fully utilized due to the difficulty of sharing and integration. A forest spatial data sharing and integration system was developed based on GeoServer. A distributed architecture was adopted to address the data storage in different organizations. WMS and WFS were the main service for data sharing and integration. Applications demonstrate that the system can easily share and integrate various spatial data.

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2394-2398

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February 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Y. Shu, et al., A Grid-enabled architecture for Geospatial data sharing, IEEE Asia-Pacific Conference on Service Computing (APSCC'06), 2006, pp.369-375.

DOI: 10.1109/apscc.2006.8

Google Scholar

[2] M.N.K. Boulos, and K. Hongda, Web GIS in practice IV-publishing your health maps and connecting to remote WMS sources using open source UMN MapServer and DM solutions MapLab. International Journal of Health Geographics 5 (2006) 6.

DOI: 10.1186/1476-072x-5-6

Google Scholar

[3] T. Mathys, and M.N.K. Boulos, Geospatial resources for supporting data standards, guidance and best practice in health informatics. BMC Research Notes 4 (2011) 19.

DOI: 10.1186/1756-0500-4-19

Google Scholar

[4] C. Yang, et al., Performance-improving techniques in web-based GIS. International Journal of Geographical Information Science 19 (2005) 319-342.

Google Scholar

[5] G. Giuliani, et al., Sharing environmental data through GEOSS. International Journal of Applied Geospatial Research 2 (2011) 1-17.

Google Scholar

[6] T. Zhao, et al., Ontology-Based geospatial data query and Integration. in: T.J. e. a. Cova, (Ed. ), GIScience, Springer-Verlag, Berlin Heidelberg, 2008, pp.370-392.

Google Scholar

[7] M. -J. Kim, et al., The spatial data server based on Open GIS Standards in heterogeneous distributed environment, Proc. 12th Int. Conf. on Geoinformatics-Geospatial Information Research: Bridgeing the Pacific and Atlantic University of Gavle, Sweden, 2004, pp.241-248.

Google Scholar

[8] OGC, OpenGIS Geography Markup Language (GML) implementation specification version 3. 0, OpenGIS Consortium Inc., 2003 http: /www. opengeospatial. org/standards/gml.

Google Scholar

[9] OGC, Web Feature Service Implementation Specification, OpenGIS Consortium Inc., 2005 http: /www. opengeospatial. org/standards/wfs.

Google Scholar

[10] OGC, Web Coverage Service 2. 0 interface standard, OpenGIS Consortium Inc., (2009).

Google Scholar

[11] OGC, Web Map Service Implementation Specification, OpenGIS Consortium Inc., 2002 http: /www. opengeospatial. org/standards/wms.

Google Scholar

[12] B. Baranski, Grid computing enabled web processing service, GI-Days, (2008).

Google Scholar

[13] Y. Wang, and X. Wu, Heterogeneous Spatial Data Mining Based on Grid, Advances in Computation and Intelligence, 2007, pp.503-510.

DOI: 10.1007/978-3-540-74581-5_55

Google Scholar

[14] J.C.A. Davis, and L.L. Alves, Local spatial data infrastructures based on a Service-Oriented Architecuture. in: F.T. Fonseca, and M.A. Casanova, (Eds. ), VII Brazilian Symposium on Geoinformatics, INPE, , 2005, pp.30-45.

Google Scholar

[15] A. Friis-Christensen, et al., Building Service Oriented Applications on top of a Spatial Data Infrastructure- A forest fire assessment example, Proceedings of the 9th AGILE Interantional Conference on Geographic Information Science, Visegrad, Hungary, 2006, pp.119-127.

Google Scholar

[16] S. Gao, et al., Online GIS services for mapping and sharing disease information International Journal of Health Geographics 7 (2008) 8.

Google Scholar

[17] GeoServer, Information on http: /geoserver. org.

Google Scholar

[18] X. Yu, et al., A meteorological data service system and its application. Advanced Materials Research 304 (2011) 310-315.

Google Scholar