地理科学进展 ›› 2006, Vol. 25 ›› Issue (2): 96-102.doi: 10.11820/dlkxjz.2006.02.011

• 土地利用 • 上一篇    下一篇

基于MODIS数据的北京西北部地区土地覆盖分类研究

刘爱霞,王静,吕春艳   

  1. 中国土地勘测规划院, 国土资源部土地利用重点实验室,北京 100035
  • 收稿日期:2006-01-01 修回日期:2006-03-01 出版日期:2006-03-25 发布日期:2010-08-06
  • 作者简介:刘爱霞(1976-),女,山东省惠民县人,博士.主要从事土地利用/土地覆盖分类及变化监测、土地资源调查与监测、全球变化遥感等方面的研究.
  • 基金资助:

    "国土资源部百名优秀青年科技人才计划";国家科技攻关计划项目"小城镇土地集约利用与生态安全评价研究"资助.

Land Cover Classification Based on MODIS Data in Area to the North-west of Beijing

LIU Aixia,WANG Jing,LV Chunyan   

  1. Key Laboratory of Land Use, Ministry of Land and Resources, China Land Surveying &|Planning Institute, Beijing 100035
  • Received:2006-01-01 Revised:2006-03-01 Online:2006-03-25 Published:2010-08-06

摘要:

本文主要基于MODIS 16天合成的NDVI时间序列数据、8天合成 LST数据、1∶5万DEM数据以及其他辅助数据相结合,进行北京西北部地区土地覆盖分类的研究。首先选取适合于MODIS数据分类的土地覆盖分类系统,然后用PCA方法对NDVI时间序列数据进行信息增强与压缩处理,以排除各种干扰因素,提高分类精度。最后结合LST数据、DEM数据及降雨温度数据,利用?齂-均值非监督分类法,进行研究区的土地覆盖分类,经过分类后处理,得到北京西北部地区的土地覆盖分类图。分类结果表明,使用250m分辨率MODIS数据,结合本文所用方法,能够实现较大区域的土地覆盖分类,并且能达到较高的分类精度。

关键词: MODIS数据, 北京西北部地区, 土地覆盖分类

Abstract:

This paper presented the research on land cover classification in area to the north-west of Beijing based on MODIS 16-day NDVI and 8-day LST time series datasets in 2002, 1:50000 DEM and some ancillary data. We first selected a land use/land cover classification system suitable to MODIS remote sensing data, the classification system was built based on remote sensing data after comparing and summarizing the features of different remote sensing data. Secondly, in order to improve the classification accuracy, we performed a PCA transform on the MODIS NDVI time series data to remove noises, and selected the first four components as the basic land cover classification data. Finally, combined with MODIS LST data, DEM and other ancillary data of study area, we applied fuzzy K-means non-supervised classifier to get the land cover automatic classification in area to the north-west of Beijing. After post-classification process of the original classification result, the last land cover classification map of area to the north-west of Beijing in 2002 was got. Compared with the manual interpretation classification result based on the ETM+ remote sensing data, we had a classification accuracy evaluation about MODIS data. The final classification result showed that the 250m MODIS NDVI time series data and the classification method used in the paper not only can suit to large-scale land cover classification, but also can have better classification accuracy. Based on the classification result of area to the north-west of Beijing, we had a statistic about the area of seven land cover types and analyzed their geographic distribution.

Key words: area to the north-west of Beijing, land cover classification, MODIS data

中图分类号: 

  • F301.24