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密云水库上游植被覆盖度的遥感估算
引用本文:李苗苗,吴炳方,颜长珍,周为峰,颜长珍.密云水库上游植被覆盖度的遥感估算[J].资源科学,2004,26(4):153-159.
作者姓名:李苗苗  吴炳方  颜长珍  周为峰  颜长珍
作者单位:1. 中国科学院遥感应用研究所,北京,100101
2. 中国科学院遥感应用研究所,北京,100101;中国科学院寒区旱区环境与工程研究所,兰州,730000
基金项目:中国科学院知识创新工程项目
摘    要:该文在对像元二分模型2个重要参数推导的基础上,改进了已有模型的参数估算方法,建立了用NDVI归一化植被指数定量估算植被覆盖度的模型,并根据实际运用时的两种情况,提出了估算植被覆盖度的方案.研究结合密云水库上游实际情况,设计了模型应用的技术路线和实施方法,对研究区植被覆盖度进行了估算.通过密云流域的实地考察,利用照相法对植被覆盖度的估算结果进行了验证,估算精度达85%,表明使用此改进模型进行植被覆盖度遥感监测是可行的.

关 键 词:遥感  植被覆盖度  像元二分模型
文章编号:1007-7588(2004)04-0153-07
收稿时间:1/1/1900 12:00:00 AM
修稿时间:2003年9月18日

Estimation of Vegetation Fraction in the Upper Basin of Miyun Reservoir by Remote Sensing
LI Miao-miao,WU Bing-fang,YAN Chang-zhen.Estimation of Vegetation Fraction in the Upper Basin of Miyun Reservoir by Remote Sensing[J].Resources Science,2004,26(4):153-159.
Authors:LI Miao-miao  WU Bing-fang  YAN Chang-zhen
Institution:LI Miao-miao~1,WU Bing-fang~1,YAN Chang-zhen~
Abstract:Vegetation fraction is a most important index to score the vegetation coverage on the land surface. As one of the input parameters of soil loss equation for soil erosion assessment, it needs to be estimated quantificationally in regional scale. Based on the analysis of the current methods of measuring vegetation fraction (fc), this paper has developed the dimidiate pixel model for quantifying vegetation fraction from normalized difference vegetation index (NDVI=NIR-R]/NIR R]), which is derive from the near red band and red band of the remotely sensed data. In the improved model, fc is calculated by the formula:fc = (NDVI-NDVIsoil)/(NDVIveg-NDVIsoil)where NDVIsoil and NDVIveg are two input parameters of the improved model, and they represent the NDVI value of pure pixel of barren soil and vegetation, respectively. According to two cases of practical requirement, the improved model gives the deducing process of such two parameters with the ancillary data of vegetation map and soil map. Then based on the division units extracted by overlaying the land cover database and soil type database, two vegetation fraction data sets in the Upper Basin of Miyun Reservoir have been estimated for each division unit from NDVI derived from Landsat TM data in spring and summer. Through validating with field-investigated data, which is obtained by calculating the vegetative proportion on the digital photography of each land cover, the average estimated accuracy of vegetation fraction of all land cover types is more than 85% in the study region. So the fc datasets are valid, and can be taken as one of the parameters to derive the soil loss volume. The result also suggests that it is feasible to use this improved model to estimate vegetation fraction from remotely sensing data.
Keywords:NDVI
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