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基于SPOT-5遥感影像的小班区划探讨     被引量:10

Sub-compartment division based on SPOT-5 remote sensing images

文献类型:期刊文献

中文题名:基于SPOT-5遥感影像的小班区划探讨

英文题名:Sub-compartment division based on SPOT-5 remote sensing images

作者:张艮龙[1] 冯益明[2] 贾建华[1] 武红敢[2] 李增元[2]

第一作者:张艮龙

机构:[1]西安科技大学测绘科学与技术学院;[2]中国林业科学研究院资源信息研究所

年份:2010

卷号:27

期号:2

起止页码:299-303

中文期刊名:浙江林学院学报

外文期刊名:Journal of Zhejiang Forestry College

收录:北大核心:【北大核心2008】;CSCD:【CSCD_E2011_2012】;

基金:国家高技术研究发展计划(863计划)项目(2007AA12Z181);国家林业局林业公益科研专项(200704019);"十一五"国家科技支撑计划项目(2006BAD23B01)

语种:中文

中文关键词:森林经理学;SPOT-5遥感数据;森林资源调查;小班区划

外文关键词:forest management; SPOT-5 remote sensing image; survey on forest resource; sub-compartment division

分类号:S771.8

摘要:森林资源调查小班区划主要是在现地进行对坡勾绘,这种方法存在人为主观性,不够科学客观等问题,因此,常产生误判。而地球遥感卫星SPOT-5遥感数据具有高空间分辨率和多光谱分辨率,可提供丰富、可靠、高精度的基础数据,且能节约成本,提高效率。提出了适用于森林资源区划的SPOT-5遥感数据处理和目视解译方法,即建立SPOT-5影像解译标识、野外核实与补测等。最后对计算机自动解译SPOT-5影像进行森林区划进行了讨论,研究可为森林区划提供指导与借鉴。
The main method of current forest resources sub-compartment division is adopted to draw division boundary according to the condition of opposite hillside in the field, which is subjective and lacks of scientific objectivity. In this paper, firstly, we analyzed the characteristics of SPOT-5 remote sensing data and the shortcomings of the sub-compartment division arising from small field of vision due to miscalculation in current forest. Secondly, we put forward the method of data processing and screen visual interpretation, such as establishing identity of SPOT-5 image interpretation, field verification and additional measurement which were suitable for the SPOT-5 remote sensing data when it was used in the division of forest resources survey. Finally, the advantages and feasibility of computer automatic interpretations of the SPOT-5 image were discussed when it was used in the sub-compartment division. This study will provide guidance and ref- erence for forest division. [Ch, 3 fig. 16 ref.]

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