植被指数研究进展

doi:10.11867/j.issn.1001-8166.1998.04.0327

地球科学进展 ›› 1998, Vol. 13 ›› Issue (4): 327 -333. doi: 10.11867/j.issn.1001-8166.1998.04.0327

植被指数研究进展

田庆久 ¹，闵祥军 ²

1.中国科学院遥感应用研究所北京 100101；2.北京师范大学资源与环境系北京 100875

收稿日期:1997-10-20 修回日期:1998-02-05 出版日期:1998-08-01
通讯作者: 田庆久

ADVANCES IN STUDY ON VEGETATION INDICES

Tian Qingjiu ¹，Min Xiangjun ²

1.Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101；2.Department of Resource & Environment Science, Beijing Normal University, Beijing 100875

Received:1997-10-20 Revised:1998-02-05 Online:1998-08-01 Published:1998-08-01

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在遥感应用领域，植被指数已广泛用来定性和定量评价植被覆盖及其生长活力。由于植被光谱表现为植被、土壤亮度、环境影响、阴影、土壤颜色和湿度复杂混合反应，而且受大气空间—时相变化的影响，因此植被指数没有一个普遍的值，其研究经常表明不同的结果。20多年来，已研究发展了40多个植被指数。该文对已有的大部分植被指数进行了归纳分类，评价其各自优势和局限性，并探讨了未来研究的方向，这将有助于遥感在农业、植被和生态环境监测方面进行有效地开发与应用。

关键词: 遥感, 植被指数, 土壤, 大气影响

In the field of remote sensing applications, vegetation indices(VI) have been developed for qualitatively and quantitatively evaluating vegetative covers using spectral measurements. The spectral response of vegetated areas presents a complex mixture of vegetation, soil brightness, environmental effects,shadow, soil color and moisture. Moreover, the VI is affected by spatial-temporal variations of the atmosphere. Overforty vegetaion indices have been developed during the past two decades in order to enhance vegetation response and minimize the effects of the factors described above. Most of the vegetation indices were summarized, discussed, analysed about their applicability and limitations, and simply classificated. Vegetation indices are quantitative measurements indicating the vigor of vegetation. They show better sensitivity than individual spectral bands for green vegetation detection. Their usefulness lies as an aid to remote sensing image interpretation, the detection of land use changes, the evaluation of vegetative cover density, forestry, crop discrimination and crop prediction.
In general, it can be observed that vegetation indices do not have a standard universal value, research having ofen shown different results. The atmosphere, sensor calibration, sensor viewing conditions, solar illumination geometry, soil moisture, color and brightness seriously affect vegetaion indices. Moreover, in a heterogeneous environment, where there is a mixture of vegetation and other ground elements in the pixels, the study of vegetation indices becomes more complex. However, the choice of a vegetation index as opposed to another, for what ever application, is quit delicate to make. Each environment has its own characteristics and each index is an indicator of green vegetation in its own right. As hyperspectral remote sensing technology (such as AVIRIS) and thermal infrared multi-spectral remote sensing technology (such as ASTER) goes on, many VI will be developed.

Key words: Remote sensing, Vegetation index, Soil, Atmospheric effect.

中图分类号:

TP701

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