遥感干旱监测是干旱监测中一个很有潜力的发展方向，其中研究比较多的是遥感特征空间法。为此介绍了几种具有代表性的遥感特征空间方法，并将其分为3大类，即LSTNDVI特征空间法、NIRRed特征空间法和NIRSWIR特征空间法。深入地分析它们的基本原理、方法和适用范围，对各类干旱监测方法存在的问题和发展趋势进行了探讨，指出下一步的研究方向。

Spectral feature space has large potential to monitor agricultural drought and it becomes a hotspot in the field of remote sensing drought monitoring approaches. This paper summarizes some spectrum feature space approaches, divides them into three categories: LSTa2NDVI approach, NIRa2Red approach and NIRa2SWIR approach, analyzes deeply their basic principles, mathematical equations and application scope, discusses thoroughly their inner problems and development trends, and also points out their prospect and future work.