收藏 ｜ 设为首页 广告服务 ｜ 联系我们 ｜ 在线留言
高级检索

干旱区地理 ›› 2003, Vol. 26 ›› Issue (3): 264-268.doi: 10.13826/j.cnki.cn65-1103/x.2003.03.013

• • 上一篇    下一篇

遥感影像中分区分类法及在新疆北部植被分类中的应用

师庆东1, 2, 吕光辉2, 潘晓玲2, 程维明3   

  1. 1.南京气象学院大气科学系, 南京 210044;
    2.新疆大学干旱生态环境研究所, 乌鲁木齐 830046;
    3.中国科学院资源与环境信息系统国家重点实验室, 北京 100101
  • 收稿日期:2003-01-28 修回日期:2003-04-25 发布日期:2025-12-31
  • 基金资助:
    国家重点基础研究发展规划项目(G1999043503)和新疆大学校院联合项目(2003320504)资助

Vegetation Classification Method of Divided Area and DEM at North Xinjiang

SHI Qing-dong1,2, LU Guang-hui2, PAN Xiao-lin2, ZHOU Cheng-hu3   

  1. 1. Department of Atmospheric Sciences, Nanjing Institute of Meteorology, Nanjing 210044, China;
    2. Institute of Arid Ecology & Enviroment of Xinjiang University, Urumqi 830046, China;
    3. State Key Laboratory of Resource and Environmental Information System, Chinese Academy of Sciences, Beijing, 100101, China
  • Received:2003-01-28 Revised:2003-04-25 Online:2025-12-31

PDF (PC)

0

赞

摘要： 对遥感影像提出了一种分区分类的思想, 根据影像所包含的局部特征将整体影像化为几个局部的影像, 然后根据局部影像的特点对图像进行分类, 使得每一区域的种类数目相对于整体减少, 种类的特点得以突出, 分类更具有针对性, 再加以高程、坡度等地貌信息, 提高分类精度。该分类法在新疆北部的植被分类中得到了应用, 从NOAA影像中提出的NDVI为数据源, 根据该植被区域特点, 将研究区的植被区域划分为四个区, 即:新疆阿勒泰草原区、昭苏区、西准噶尔区和东天山区。利用GIS软件将整个研究区的NDVI指数图像化分为四块子图, 根据各个区域植被的特点, 采用不同的分类标准, 对四块子图分类。在此之后, 再利用GIS软件将所有分类子图合并为整个区域的分类图。结果表明, 该类方法可以大大提高NDVI指数的植被分类精度。

关键词: 植被分类, 遥感, 分区, 新疆北部

Abstract: In this article, a way of dividing whole remote sensing image into subimage has leen developed to classify the type of vegetation. There are different types of vegetation in different geographic unit, so according to geographical region feature in a remote sensing image, the whole image is divided to severl subimages, the types of vegetation in a subimage is less than in a whole image. Types of vegetation in a region graphic is easy to be showed and the threshold of classifying has a wide scape. With the assistance of Digital Elevation model (DEM) and slope maps, classification accurateness was improved. This way was applied in north Xinjiang, the paper hold NDVI (Normalized Difference Vegetation Index) image as data resource, divided whole research area into four regions：Altai grassland region, West Jungger region, Zhaosu region and East Tianshan region. Different classifying standard was used in different region, and then using GIS software together four regions into a whole classified image. Because this method was grounded on knowledge, the classification result of vegetation in Xinjiang north was improved to 89.33%.

Key words: vegetation classification, remote sensing, divided area, North Xinjiang

中图分类号: 

  • TP79