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植被覆盖度的遥感估算方法研究进展 |
程红芳, 章文波, 陈锋 |
北京师范大学地理学与遥感科学学院,北京100875 |
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ADVANCES IN RESEARCHES ON APPLICATION OF REMOTE SENSING METHOD TO ESTIMATING VEGETATION COVERAGE |
CHENG Hong-Fang, ZHANG Wen-BO, CHEN Feng |
School of Geography, Beijing Normal University, Beijing 100875, China |
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摘要 植被覆盖度是重要的生态环境参数之一,遥感影像能够反映不同空间尺度的植被覆盖信息及其变化趋势,故遥感监测是获取区
域植被覆盖度参数的一个重要手段。植被指数是反映地表植被覆盖、生物量等的间接指标,基于植被指数的植被覆盖度遥感估算方法
有经验模型法、植被指数法、像元分解模型法及Forest Canopy Density Mapping Model等,基于决策树分类法和人工神经网络分类
法的植被覆盖度遥感估算方法也有了一定的进展。本文综合分析讨论了目前基于遥感影像的植被覆盖度常用估算方法,分析比较了它
们的优缺点,并对遥感植被覆盖度研究进行了展望。
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关键词 :
遥感地质,
功业
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Abstract: Vegetation coverage is a very important ecological environment parameter, and remote sensing imagery can
provide the vegetation coverage information and variation trend on different spatial scales. Remote sensing is an
important means in obtaining vegetation coverage, and vegetation indices are indirect indices which can reflect
vegetation cover and biomass. The methods for estimating vegetation coverage based on vegetation indices include
experiential models, vegetation indices, pixel unmixing analysis and FCD (forest canopy density) mapping model, and
the methods for estimating vegetation coverage based on decision tree classification and artificial neural network
have made some progress as well. This paper has analyzed and discussed the present methods for estimating vegetation
coverage based on remote sensing imagery as well as their advantages and disadvantages. The future trend of
vegetation cover study based on remote sensing technology is also discussed in this paper. |
Key words:
Remote sensing
Achievement
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收稿日期: 2007-04-15
出版日期: 2009-07-13
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基金资助: 国家自然科学基金项目资助(40201030) |
通讯作者:
程红芳(1982-),女,硕士研究生,主要从事土壤侵蚀及水土保持方面研究。
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