摘要
概述了植被覆盖地表微波辐射传输模型的原理和表示方法,指出在地表粗糙度、植被层和大气等影响相似的情况下,微波极化差异指数的变化突显土壤水分变化。利用AMSR-E星载被动微波遥感亮度温度数据,计算分析地表微波极化差异指数(MPDI)的月平均分布,以广东省为试验区,获得了2004―2009年10月份广东省10.7GHz通道的MPDI月距平值△MPDI的统计分布,绘出研究区土壤水分变化程度分布图,并与研究区降水情况作比较。结果表明,距平值的大小反映了研究区土壤水分发生异常的程度,能为监测研究区干旱洪涝发生的等级提供了一种有效便捷的方法。
As an important parameter in hydrology,meteorology and agriculture research,soil moisture serves as a basis for flood-drought forecasting. The passive microwave remote sensing is the most potent technique to retrieve soil moisture data. In this paper a brief introduction is made to microwave radiative transfer model and formula on vegetation-covered surface. The microwave polarization difference index（MPDI）can reflect soil moisture variation when the influences are similar to those from surface roughness,vegetation canopy and atmosphere etc. By the microwave radiation brightness temperature from the advanced microwave scanning radiometer for earth observing system（AMSR-E）,the monthly average values of microwave polarization difference index （MPDI）are calculated,and the values of normalized month anomaly index（△MPDI）of October at 10.7GHz channel from 2004 to 2009 in Guangdong province are analyzed statistically. On that basis a map of soil moisture variation is drawn, and comparison between the data of soil moisture and precipitation in the studied region is made. The study shows that △MPDI can monitor anomalous variability of soil moisture,and it provides an effective and simple approach to monitoring the grade of drought and flood
出处
《热带地理》
北大核心
2011年第3期272-277,共6页
Tropical Geography
基金
广东省科学院青年科学研究基金(qnjjsq200808)
广东省自然科学基金(05000646)
