基于辅助数据的遥感干旱分析

介绍了当前用NOAAAVHRR进行土壤湿度监测的3种主要关系模型，详细分析了它们的解其过程。利用地面实测数据对3种模型进行验证，同时利用该地区其他辅助数据对不同程度干旱的分布及孕灾环境进行了分析。

Drought Analysis Based on Remote Sensing and Ancillary Data

This paper intnduces three main models(linear, logarithmic,and exponential model),which are used in monitoring the soil moisture at present according to the thermal inertial theory based on NOAA AVHRR data, and the processing steps of these models are presented in details.Three models are tested and validated by using ground truth data, then the environment which causes drought is also discussed in the paper by using ancillary data including DEM and landcovr.The results show that three medels meet the needs of the large scale drought monitoring, and that the application of ancillary data not only makes the quantitative analysis of drought distributing and its causes possible, but also validates the models correctness in a certain extent. The example,which uses NOAA AVHRR data and DEM and landcovr data to monitor the drought condition in Hubei province on Nov. 12, 1998, gives that the terrain condition is also the main factor which affects the soil water content in southern China as well as the climate condition, and that the drought-against capacities of the different landcovr types are of diversity. Forest is bot, woodland and grass take the second place and crop worst. Therefore, these conditions must be taken into account in monitoring drought in southem China.