中国农业科学院农业信息研究所 中国农学会
Agricultural Information Institute of CAAS China Association of Agricultural Science Societies
En
Ch
中国农业科学院农业信息研究所 中国农学会 主办

AI检索

订阅

返回顶部
当前位置: 首页 > 文章 > 光学与微波遥感协同反演藏北表层土壤水分研究 土壤 2019,51 (5) 1020-1029
Position: Home > Articles > Cooperative Inversion of Topsoil Moisture Based on Optical and Microwave Remote Sensing Data in Northern Tibet Soils 2019,51 (5) 1020-1029

光学与微波遥感协同反演藏北表层土壤水分研究

作  者：
王梅霞;冯文兰;扎西央宗;王永前;牛晓俊
单  位：
西藏高原大气环境科学研究所;成都信息工程大学资源环境学院
关键词：
土壤水分;FY3B/MWRI;MODIS;协同反演;藏北地区
摘  要：
表层土壤水分是定量干旱监测的重要参量,对干旱区生态环境具有十分重要的意义.在采用归一化植被指数阈值法划分地表覆盖类型的基础上,利用MODIS数据选择适用的光学遥感算法估算土壤水分基准值,以及利用风云三号B星搭载的微波成像仪(Fengyun-3B/Microware Radiation Imagery,FY3B/MWRI)数据采用微波遥感算法反演土壤水分日变化量,最后构建藏北表层土壤水分协同反演的遥感模型并应用于区域土壤水分的估算.结果表明:光学遥感与微波遥感协同反演的土壤水分含量与实测数据呈显著相关,决定系数达到0.89,均方根误差为0.97,协同反演模型具有较高的反演精度,并且协同反演的结果优于单一遥感源的反演结果.该模型可以较好地适用于藏北地区表层土壤水分的动态监测.
译  名：
Cooperative Inversion of Topsoil Moisture Based on Optical and Microwave Remote Sensing Data in Northern Tibet
作  者：
WANG Meixia;FENG Wenlan;ZHAXI Yangzong;WANG Yongqian;NIU Xiaojun;College of Environmental and Resource Science, Chengdu University of Information Technology;Tibet Institute of Plateau Atmospheric and Environmental Science;
关键词：
Soil moisture;;FY3B/MWRI;;MODIS;;Cooperative inversion;;Northern Tibet
摘  要：
Topsoil moisture is an important parameter to quantitatively monitor drought, and it plays an important role in the ecological environment in arid areas. The normalized difference vegetation index(NDVI) of threshold methods were used to classify land vegetation types, MODIS data were used to select optical remote sensing algorithm feasible to calculate the benchmark of soil moisture, FY3 B/MWRI radiance data and microwave remote sensing algorithm were used to invert daily variation of top soil moisture, and finally the two techniques were combined to setup a cooperative inversion model of soil moisture for northern Tibet. The results showed a significant correlation between the inversed and in situ soil moistures, the determination coefficient was 0.89 and RMSE was 0.97, which indicated the cooperative inversion model was more accurate than the inversion model derived from single remote sensing data, and it is suitable for inversing topsoil moisture in northern Tibet.

相似文章

导出引用
计量
文章访问数: 29
HTML全文浏览量: 0
PDF下载量: 1

所属期刊

推荐期刊

友情链接Friendly link
农业信息研究所Agricultural information institute 农业智能知识服务平台Agricultural intelligent knowledge service platform 农业学术服务平台Agricultural Knowledge Service System 中国知网CNKI 维普网VIP 万方WANFANG DATA
联系我们Contact us

电话Tell：010-82109652-808

邮箱E-mail：agrijournal@caas.cn

服务Service
关于我们About us 意见建议Opinions and suggest
版权说明Copyright
单位：中国农业科学院农业信息研究所 中国农学会 © 2017中国农业科学院农业信息研究所 ICP备案号：京ICP备09089781号-46