[1]李伯祥,陈晓勇,徐雯婷.基于水云模型的Sentinel-1A双极化反演植被覆盖区土壤水分[J].水土保持研究,2019,26(05):39-44.
　LI Boxiang,CHEN Xiaoyong,XU Wenting.Inversion of Soil Moisture in Vegetation-Covered Areas by Sentinel-1A Dual Polarization Based on Water Cloud Model[J].Research of Soil and Water Conservation,2019,26(05):39-44.
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基于水云模型的Sentinel-1A双极化反演植被覆盖区土壤水分

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 26 期数: 2019年05期 页码: 39-44 栏目: 出版日期: 2019-09-06
Title:
Inversion of Soil Moisture in Vegetation-Covered Areas by Sentinel-1A Dual Polarization Based on Water Cloud Model
作者:
李伯祥1, 陈晓勇1,2,3, 徐雯婷1
1. 东华理工大学 测绘工程学院, 南昌 330013;
2. 流域生态与地理环境监测 国家测绘地理信息局重点实验室, 南昌 330013;
3. 江西省数字国土重点实验室, 南昌 330013
Author(s):
LI Boxiang1, CHEN Xiaoyong1,2,3, XU Wenting1
1. School of Geomatics, East China University of Technology, Nanchang 330013, China;
2. Key Laboratory of Watershed Ecology and Geographical Environment Monitoring, Nanchang 330013, China;
3. Jiangxi Province Key Laboratory for Digital Land, Nanchang 330013, China
关键词:
主被动微波; 土壤水分; 水云模型; 双极化
Keywords:
active and passive microwave; soil moisture; water coud model; dual polarization
分类号:
P237
摘要:
根据开展的景县地区玉米农田主被动微波遥感协同反演土壤水分监测试验，提出利用FY-3 B WMRI被动微波数据计算微波极化差异指数（MPDI），建立了植被层含水量反演模型，去除植被含水量对于农田土壤水分反演的影响，然后结合植被层含水量反演模型和水云模型，以及Sentinel-1A主动微波数据和部分实测样点土壤体积含水量数据建立植被覆盖区农田土壤水分半经验反演模型，最后验证分析Sentinel-1A VV/VH不同极化条件下土壤水分反演模型的精度。结果表明：VV极化条件下土壤水分反演模型反演精度为R2=0.7422，RMSE=0.0674 cm3/cm3，MAE=0.0305 cm3/cm3，MaxE为0.1196 cm3/cm3，MinE=0.0024 cm3/cm3；VH极化模型为R2=0.1898，RMSE=0.0768 cm3/cm3，MAE=0.0474 cm3/cm3，MaxE=0.1933 cm3/cm3，MinE=0.0190 cm3/cm3。研究区VH极化模型反演值存在普遍偏低现象，VV极化模型土壤水分反演结果优于VH极化模型。VV极化方式具有更强的穿透性，受到植被层衰减作用影响较小，对土壤水分含量变化也更为敏感。建立的VV极化条件下土壤水分反演半经验模型能较好地表征研究区土壤水分空间分布情况。
Abstract:
A collaborative inversion monitoring experiment of active and passive microwave remote sensing for soil moisture in maize farmland in Jingxian County was carried out. Firstly, the microwave polarization difference index (MPDI) was calculated by using FY-3B WMRI passive microwave data, and the water content of vegetation layer inversion model was established to remove the influence of vegetation water content on farmland soil moisture inversion. Then, a semi-empirical inversion model of farmland soil moisture in vegetation-covered area was established by combining with the vegetation water content inversion model, water cloud model, the Sentinel-1A active microwave data and some measured soil water content data. Finally, the accuracy of semi-empirical inversion model was verified and analyzed under different sentinel-1A VV/VH polarization conditions. The results show that the accuraces of soil moisture inversion values under VV polarization condition can be characterized by R2(0.7422), RMSE (0.0674) cm3/cm3, MAE (0.0305 cm3/cm3), Max R2, (0.1196 cm3/cm3), MinE (0.0024 cm3/cm3); R2(0.1898),RMSE (0.0768 cm3/cm3), MAE (0.0474 cm3/cm3), MaxE(0.1933 cm3/cm3), MinE (0.0190 cm3/cm3) under VH polarization condition. The inversion values of the VH polarization model in the study area were generally low, and the soil moisture inversion results of the VV polarization model were better than that of the VH polarization model. The VV polarization mode has stronger penetrability which is less affected by the attenuation of the vegetation layer, and is more sensitive to the changes in soil moisture content. The semi-empirical model of soil moisture inversion under VV polarization condition can better reflect the spatial distribution of soil moisture in the study area.

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备注/Memo

收稿日期:2018-12-24;改回日期:2019-01-19。
基金项目:国家自然科学基金（41771371）；国家科研项目（2016YFD0300600）
作者简介:李伯祥(1994-),男,广西梧州人,硕士研究生,研究方向:多源遥感反演土壤水分。E-mail:1017939781@qq.com
通讯作者:陈晓勇(1961-),男,浙江诸暨人,教授,博士生导师,研究方向:地理信息科学理论研究和应用技术开发。E-mail:chenxy@ecit.cn

更新日期/Last Update: 1900-01-01