基于AMSR-E数据的土壤湿度监测研究

摘要

[Objective] The aim was to establish AMSR-E soil moisture monitoring model to realize the real-time monitoring of soil moisture. [Method] By dint of evaporation in Guangxi, daily precipitation, daily average maximum temperature, daily minimum relative humidity, ≤ 5mm rainfall rain day, as well as AMSR-E soil moisture data, with Stepwise regression method, soil moisture real-time monitoring was studied based on GIS technology, and test monitoring result. [Result] The low soil moisture in Guangxi on September 23 in 2005 mainly distributed in northeast Guangxi and central Guangxi, including Guilin City, Liuzhou City, Laibin City, Hezhou City, Guigang City, Nanning City, Hechi City and Baise City. [Conclusion] The AMSR-E statistical model base on meteorological observation data can be applied in real-time monitoring of soil moisture.%[目的]通过建立AMSR-E土壤湿度监测模型,实现土壤湿度的实时监测.[方法]利用1961～2006年广西蒸发量、逐日降雨量、日平均最高气温、日最小相对湿度、≤5 mm降雨日数等气象观测数据,以及AMSR-E土壤湿度数据,通过逐步回归的统计方法,基于GIS技术进行土壤湿度实时监测研究,并对其监测结果进行验证.[结果] 2005年9月23日广西土壤湿度值较低的区域主要分布在桂东北地区和桂中地区,包括桂林市、柳州市、来宾市等市大部分地区,以及贺州市、贵港市、南宁市、河池市、百色市等市的局部地区.[结论]基于地面气象观测数据的AMSR-E土壤湿度统计模型适用于土壤湿度的实时监测.