中国西部地区基于经验模型的土壤水分反演

地表土壤水分含量的时空分布信息是十分重要的,常常作为水文模型、气候模型、生态模型的输入参数,同时,也是干旱预报、农作物估产等工作的重要指标。被动微波遥感是监测土壤含水量最有效的手段之一。相比红外与可见光,它具有波长长,穿透能力强的优势。相比主动微波雷达,被动微波辐射计具有监测面积大、周期短,受粗糙度影响小,对土壤水分更为敏感,算法更为成熟的优势。目前,已研究出许多反演土壤水分的方法.本课题的主要内容是借助AMSR-E土壤水分影像数据、MODIS归一化植被指数(NDVI)影像数据和MODIS分类影像数据,利用ENVI软件进行遥感图像数据处理,运用统计分析方法建立NDVI与土壤水分的经验模型,研究中国西部地区稀疏植被覆盖区土壤水分的反演。

The research of soil moisture inversion based on empirical model in Western region of China

Spatially distributed soil moisture and its change information are very important.Also,soil moisture information is a very important index for drought forecast and agricultural yield estimation.Passive microwave remote sensing techniques are one of the most effective means to monitor soil moisture.Compared to infrared and visible light,passive microwave has advantages of longer wave- length and stronger ability to penetrate.Meanwhile,passive microwave radiometer has advantages of larger monitoring area,shorter cy- cle,less impact of roughness,more sensitive to soil moisture and more sophisticated algorithms.At present,many approaches have been studied to invert soil moisture.The main content of this study is to study soil moisture inversion of sparse vegetation coverage area in China's western region by establishing NDVI and soil moisture empirical model with AMSR-E soil moisture image data,MODIS nor- malized vegetation index (NDVI) image data and MODIS classification image data.The image data used above is processed through ENVI software.