Mapping forest composition in China: GIS design and implementation

Ruren Li, Xinyue Ye, Ruixiu Wang, Mark Leipnik, Bing She

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Geographic Information System (GIS)-based mapping and decision support systems use in forestry in China is still relatively limited, especially the large-scale mapping and specialized software development. However this application area has witnessed a growth in its market from various customers. This research has designed and implemented a new Forest Form Mapping System for China’s Forest Resources, as well as a platform for research, education and decision support to achieve the goal of sustainable environmental management. The project has demonstrated how GPS data and data from the second national forest survey of China can be integrated, visualized, and reported in a.NET and ArcEngine- based system. Given its flexible architecture and user friendly interface, it is suitable for a variety of applications in forest resource management.

Original languageEnglish (US)
Title of host publicationGeo-Informatics in Resource Management and Sustainable Ecosystem - 3rd International Conference, GRMSE 2015, Revised Selected Papers
EditorsYichun Xie, Fuling Bian
PublisherSpringer Verlag
Pages862-871
Number of pages10
ISBN (Print)9783662491546
DOIs
StatePublished - 2016
Externally publishedYes
Event3rd International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystem, GRMSE 2015 - Wuhan, China
Duration: Oct 16 2015Oct 18 2015

Publication series

NameCommunications in Computer and Information Science
Volume569
ISSN (Print)1865-0929

Conference

Conference3rd International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystem, GRMSE 2015
Country/TerritoryChina
CityWuhan
Period10/16/1510/18/15

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • General Mathematics

Keywords

  • Forest form mapping
  • Forest resources
  • GIS
  • Spatial data integration

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