L波段多角度裸露地表土壤水分反演研究

土壤水分是气象预报、农情监测以及水文模型的重要参数之一，利用被动微波遥感技术可以有效获取土壤水分。欧空局（ESA）计划于2009年发射卫星SMOS(Soil Moisture and Ocean Salinity) ,其主要目的是监测全球范围内的土壤水分和海洋盐度变化。根据SMOS的设置情况，寻找精度较高的半经验模型以便为进一步的土壤水分反演提供简化模型。对于裸露地表,地表粗糙度、土壤介电常数等因素影响最终的微波发射率。运用Dobson半经验介电常数模型计算土壤的介电常数，将计算结果输入高级积分方程模型(AIEM)。通过AIEM模拟的数据库,利用回归关系建立了一个精度相对较高的L波段多角度半经验模型。

Basic Research for Bare Surface Soil Moisture |Retrieval at |L-band Multi-Angular

Soil moisture plays an important part in environmental research. Microwave remote sensing is one of the most important methods to get soil moisture. ESA plans to launch a satellite named SMOS(Soil Moisture and Ocean Salinity) in 2009. Its main aim is to get global soil moisture and ocean salinity change. This article wants to find a more accurate semi empirical model, so that this model can be used to inverse soil moisture. As for the bare surface, surface roughness and electric constant final impact microwave emissivity. We use Dobson semi empirical electrical model to calculate soil electric constant, and then these electrical constants can be input into the AIEM to get a modeled database. Study this modeled database, find some features and then L band multi angular semi empirical model is founded using regression method.