[1]庞宇,姚永慧,赵芳,等.山地垂直带坡向信息提取方法[J].山地学报,2012,(03):290.
　PANG Yu,YAO Yonghui,ZHAO Fang,et al.A Method for Identifying Slope Aspect Information of Mountain Altitudinal Belts[J].Mountain Research,2012,(03):290.
点击复制

山地垂直带坡向信息提取方法()
分享到：

《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2012年03期
页码:
290
栏目:
山地学报
出版日期:
2012-01-01

文章信息/Info

Title:
A Method for Identifying Slope Aspect Information of Mountain Altitudinal Belts
作者:
庞宇;姚永慧;赵芳;韩芳;张百平;张朔;齐文文;
1. 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室，北京 100101；
2. 中国科学院研究生院，北京100049；
3. 滁州学院，安徽 滁州 239000
Author(s):
PANG Yu; YAO Yonghui; ZHAO Fang; HAN Fang; ZHANG Baiping; ZHANG Shuo; QI Wenwen
1.State Key Laboratory of Resources and Environmental Information System，Institute of Geographic Sciences and Natural Resources Research， Chinese Academy of Sciences，Beijing 100101，China;
2.Graduate School of Chinese Academy of Sciences，Beijing 100049，China;
3. Chuzhou University，Chuzhou 239000，China
关键词:
山地垂直带; 坡向; 信息提取; 垂直带界限; 曲线带谱; GIS; RS
Keywords:
mountain altitudinal belts;  slope aspect;  information identification;  Curve spectra;  SAIIMAB;  RS;  GIS
分类号:
P285,P931.2
文献标志码:
A
摘要:
坡向对垂直带的空间分布有重要的影响作用。长期以来,垂直带坡向数据的质量较低,主要以阴坡和阳坡数据为主,4个坡向和8个坡向的数据非常罕见。数据质量的问题严重阻碍了垂直带坡向效应的定量研究。为了克服这个难题,我们利用GIS、遥感、程序设计等现代信息技术手段提出了山地垂直带坡向信息提取的方法(SAI-IMAB),实现垂直带随坡向分布情况全数字化、定量化地显示和表达。本方法包括以下步骤:1.数据预处理,2.垂直带坡向数据库的构建,3.定量表达,4.图形显示。在Matlab 2010b平台下开发绘图函数,根据以下形式来表达和显示垂直带的分布情况,包括:点阵分布模式(PDP)、点阵界限模式(PLP)、曲线...
Abstract:
Slope aspect has an important impact on the distribution of mountain altitudinal belts. For a long time，because of the barrier of surveying instrument as well as the underdevelopment of information technology，the data of altitudinal belts about slope aspect has been with lower quality. Twoaspect data are easily to be acquired，but fouraspect and eightaspect data are difficult to be found. This condition had been impeding quantitative analysis research on the relationship between altitudinal belts and aspect effect seriously until now. In order to conquer this difficult problem，we proposed a Slope Aspect Information Identification of Mountain Altitudinal belts (SAIIMAB) method by the modern techniques of GIS，RS and computers. As a state-of-the-art method，SAIIMAB method is constituted of Preprocessing Part，Vegetation database Part，Graphics Part and Math Expression Part. Scanned vegetation map of Kaghan valley in Pakistan was digitalized to shape files as the data source of this study. We integrated DEM，Aspect Map，and Vegetation map into one raster layer. Therefore，each raster cell has at least five properties，includes longitude，latitude，elevation，slope aspect and vegetation type，so the information of the whole raster layer can be expressed as a two dimensional table stored in a vegetation spatial database. Furthermore，some plot functions were developed on Matlab 2010b to display altitudinal belts in Pointlattice distribution pattern (PDP)，Pointlattice limit pattern (PLP) and Curve Spectra Pattern (CSP). The altitudinal belts were depicted in separate figures according to the difference of vegetation types. The introduction of point lattice and set theory enriches the depiction and expression methods of altitudinal belts. Consequential data of altitudinal belts had been extracted by SAIIMAB method，besides，the output graphics of the SAIIMAB displays the real distribution of altitudinal belts more veritably and vividly than ever. The proposal as well as the application of SAIIMAB method not only enhances the accuracy of altitudinal belts data，but also it makes the quantitative analysis on altitudinal belts become possible，which is contributive to discover the distribution patterns of altitudinal betls with the change of slope aspect.

相似文献/References:

[1]鲁嘉濠,牛富俊,程花,等.青藏高原工程走廊冻土分布模型及其变化趋势[J].山地学报,2013,(02):226.
　LU Jiahao,NIU Fujun,Cheng Hua,et al.The Permafrost Distribution Model and Its Change Trend of Qinghai-Tibet Engineering Corridor[J].Mountain Research,2013,(03):226.
[2]李天文,刘学军,汤国安.地形复杂度对坡度坡向的影响[J].山地学报,2004,(03):272.
[3]李武斌,包维楷,何丙辉,等.岷江上游大沟流域油松人工幼林生物量组成及其影响因素[J].山地学报,2007,(02):236.
[4]封磊,洪伟,吴承祯,等.武夷山黄山松林主要种群生态位特征[J].山地学报,2008,(03):308.

备注/Memo

备注/Memo:
收稿日期(Received date)：2011-11-11；改回日期(Accepted) : 2012-03-15。
基金项目（Foundation item）：国家自然科学基金(40971064，41030528)，资源与环境信息系统国家重点实验室自主研究项目资助。\[Supported by Foundation: National Natural Science Foundation of China(No.40971064；No.41030528)，LREIS self-determined project.\]
作者简介（Biography）：庞宇(1981- )，男，汉族，河南安阳人，博士研究生。研究方向：GIS和RS在自然地理和山地科学中的应用。\[Pang Yu(1981-)，Male，Han nationality，born in Henan Anyang，Doctor student，mainly engaged in the application of GIS and RS to physical geography and mountain science.\] E-mail: pangy@lreis.ac.cn *
通讯作者(Corresponding author):张百平(1963- )，男，汉族，研究员，博士生导师，研究领域为山地生态与GIS应用。\[Zhang Baiping(1963-)，Male，Professor，Han nationality，Doctor supervisor，mainly engaged in mountain ecology and the application of GIS into mountain science.\] E-mail: zhangbp@lreis.ac.cn
更新日期/Last Update: 1900-01-01