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基于空间信息技术的适地适树网络系统研究
引用本文:张怀清,王韵晟,陈永富,刘华. 基于空间信息技术的适地适树网络系统研究[J]. 林业科学研究, 2002, 15(4): 380-386
作者姓名:张怀清  王韵晟  陈永富  刘华
作者单位:中国林业科学研究院资源信息研究所,北京,100091
基金项目:国家 8 6 3重点攻关项目“ERS SAR干涉测量森林制图技术研究”部分内容 (86 3 30 8 14 0 5 (3) )
摘    要:以黑龙江省造林树种选择为例,通过林业空间信息的综合分析和图像处理,生成主要造林立地因子的迭合矢量图怪;为了适用于可视化查询和析,利用遥感和地理信息系统手段,生成与遥感影像相迭加的EDM立体模型;建立适用于网络运行的空间信息库和造林专家知识库;采用ESRI ARCIMS网络地理信息系统(WEB GIS)对象模型的二次开发,建立在Internet网络环境下运行的适地适树系统;实现林业空间信息、专家知识信息等的多种数据融合,以及空间信息的网络表达、分析和决策。

关 键 词:空间信息技术 适地适树网络系统 适地适树 地理信息系统 造林树种选择 立地因子 专家知识库
文章编号:1001-1498(2002)04-0380-07
收稿时间:2001-06-15

Study on the Network System of Favored Trees for Suitable LandBased on Spatial Information Techniques
ZHANG Huai qing,WANG Yun sheng,CHEN Yong fu and LIU Hua. Study on the Network System of Favored Trees for Suitable LandBased on Spatial Information Techniques[J]. Forest Research, 2002, 15(4): 380-386
Authors:ZHANG Huai qing  WANG Yun sheng  CHEN Yong fu  LIU Hua
Affiliation:Research Institute of Forest Resource Information Technique, CAF, Beijing 100091, China;Research Institute of Forest Resource Information Technique, CAF, Beijing 100091, China;Research Institute of Forest Resource Information Technique, CAF, Beijing 100091, China;Research Institute of Forest Resource Information Technique, CAF, Beijing 100091, China
Abstract:Heilongjiang Province was taken as an example to build a network system of favored trees for suitable land by using forestry spatial information technique which can run on the platform of Internet networks. Through comprehensive analysis and processing of forestry spatial information data, an overlapped vector layer with main forestation factors will be generated. It is useful for visual query by using Digital Elevation Model(DEM) overlapped with remote sensing images. At the same time, a network database of spatial information and forestation expert knowledge was built in order to adapt on the network environment. The system programmed by using the object model of ESRI ARCIMS, which realized to merge the multi sources data including forestry spatial information and expert knowledge base etc., as well as the network expression, analysis and decision of spatial information.
Keywords:network  forestry spatial information  favored trees for suitable land
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