基于多光谱和高光谱的干旱遥感监测研究进展

Advances in Drought Remote Sensing Monitoring Based on Multispectral and Hyperspectral Data

对近年来国内外利用多光谱卫星数据和近地面高光谱数据进行干旱监测研究进展及其适用性进行了归纳总结,得出以下结论:基于地表土壤水分和能量平衡理论、基于特征空间的干旱监测模型更适用于低植被或裸土地区;基于作物植被指数的干旱监测模型更适用于高植被覆盖区,并且需要长时间的序列数据;基于近地面高光谱数据的干旱监测光谱敏感波段在不同作物不同发育期存在着差异,为有效利用多光谱和高光谱卫星数据进行干旱监测提供借鉴。

Drought is one of the main meteorological disasters in china, under the background of global climate and environment change, the frequency of extreme drought is on the rise. In this paper, the recent progress and applicability of drought monitoring using multi spectral satellite data and near ground hyperspectral data at home and abroad are summarized. On the basis of those studies, we can reach the following conclusions:(1) The drought monitoring model based on the theory of surface soil water and energy balance, and feature space are more suitable for low vegetation or bare soil area;(2) The drought monitoring model based on crop vegetation index is more suitable for the high vegetation coverage area, and needs long time series data;(3) There are differences in the spectral sensitive bands of drought monitoring based on the near ground hyperspectral data in the different developmental stages and different crops. The conclusions of this paper can provide reference for drought monitoring using multispectral and hyperspectral data.