| 基于TM卫星影像获取北京市水体密度指数与植被覆盖指数的方法 |
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| 引用本文： | 权维俊,郭文利,叶彩华,杨军丽.基于TM卫星影像获取北京市水体密度指数与植被覆盖指数的方法[J].南京气象学院学报,2007,30(5):610-616. |
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| 作者姓名： | 权维俊 郭文利 叶彩华 杨军丽 |
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| 作者单位： | 1. 北京市气象局,北京市气候中心,北京,100089
2. 中国科学院,大气物理研究所,大气科学和地球流体力学数值模拟国家重点实验室,北京,100029 |
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| 摘 要： | 以北京市为研究区域,分析了该区域的TM(Thematic Mapper;专题制图仪)卫星影像特征,探讨了水域、农田、林地、草地、城市用地以及云和云影在TM的7个波段上的光谱可分性,提出了NDCI(Normalized Difference Cloud Index;归一化云指数),分析建立了基于NDCI、NDVI(Normalized Difference Vegetation Index;归一化植被指数)、NDBI(Normalized Difference Built-up Index;归一化建筑指数)、MNDWI(Modified Normalized Difference Water Index;改进型归一化水体指数)和坡度数据的简单决策树模型,对研究区的几类主要地物、云和云影的信息进行了提取,并对结果进行了精度评价.在GIS支持下计算了水域、林地、草地和农田的面积,计算了北京市2005年第3季度的水体密度指数和植被覆盖指数.结果表明:该方法的总体提取效果较好,在分类过程中阈值的选取简单、有效,分类结果能够满足计算水体密度指数和植被覆盖指数的要求,从而将遥感技术运用到生态质量气象评价中去,并取得了较为满意的结果.
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| 关 键 词： | TM卫星影像 生态气象 水体密度指数 植被覆盖指数 遥感 决策树 卫星 影像获取 北京市 水体指数 密度指数 植被覆盖 方法 Images Beijing Density Water Body 精度评价 生态质量 技术运用 遥感 分类结果 选取 阈值 过程 提取效果 |
| 文章编号： | 1000-2022（2007）05-0610-07 |
| 修稿时间： | 2006-10-08 |
Method for Deriving Indexes of Water Body Density and Vegetation-Cover in Beijing from TM Images |
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| QUAN Wei-jun,GUO Wen-li,YE Cai-hua,YANG Jun-li.Method for Deriving Indexes of Water Body Density and Vegetation-Cover in Beijing from TM Images[J].Journal of Nanjing Institute of Meteorology,2007,30(5):610-616. |
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| Authors: | QUAN Wei-jun GUO Wen-li YE Cai-hua YANG Jun-li |
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| Institution: | 1. Beijing Climate Center,Beijing Meteorological Bureau,Beijing 100089,China; 2. State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029,China |
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| Abstract: | In this study,the characteristics of TM images for Beijing study area are analyzed to find the spectral separability of TM's bands for different objects,such as water,farmland,forest,grassland,concrete,cloud and shadow.An Normalized Difference Cloud Index(NDCI) is proposed to construct a simple decision tree mode with the Normalized Difference Vegetation Index(NDVI),Normalized Difference Built-up Index(NDBI),Modified Normalized Difference Water body Index(MNDWI) and slope.This model is then used to derive the information of ground objects,cloud and shadow,and the precision of results is evaluated subsequently.The areas of water body,forest,grassland and farmland are calculated under the support of GIS technology.Finally,the indexes of water body density and vegetation-cover in the autumn of 2005 in Beijing area are calculated.Results indicate that the selection of thresholds for this model is very simple and effective and the precision of model can satisfy the requirement to calculate the indexes of water body density and vegetation-cover.The results also indicate that the remote sensing technology can be used effectively in evaluating the quality of ecological meteorology. |
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| Keywords: | TM images ecological meteorology water body density index vegetation-cover index Remote sensing decision tree |
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