干旱区生态环境知识资源中心(Arid): 光学与微波遥感协同反演藏北表层土壤水分研究

Arid

	光学与微波遥感协同反演藏北表层土壤水分研究
其他题名	Cooperative Inversion of Topsoil Moisture Based on Optical and Microwave Remote Sensing Data in Northern Tibet
	王梅霞 1; 冯文兰 1; 扎西央宗 2; 王永前 1; 牛晓俊 2
来源期刊	土壤
ISSN	0253-9829
出版年	2019
卷号	51 期号:5 页码:1020-1029
中文摘要	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。
英文摘要	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, FY3B/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.
中文关键词	土壤水分 ; 协同反演 ; 藏北地区
英文关键词	FY3B/MWRI MODIS Soil moisture FY3B/MWRI MODIS Cooperative inversion Northern Tibet
语种	中文
收录类别	CSCD
WOS类目	REMOTE SENSING
WOS研究方向	Remote Sensing
CSCD记录号	CSCD:6610828
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/315789
作者单位	1.成都信息工程大学资源环境学院, 成都, 四川 610225, 中国; 2.西藏高原大气环境科学研究所, 拉萨, 西藏 850000, 中国
推荐引用方式 GB/T 7714	王梅霞,冯文兰,扎西央宗,等. 光学与微波遥感协同反演藏北表层土壤水分研究[J],2019,51(5):1020-1029.
APA	王梅霞,冯文兰,扎西央宗,王永前,&牛晓俊.(2019).光学与微波遥感协同反演藏北表层土壤水分研究.土壤,51(5),1020-1029.
MLA	王梅霞,et al."光学与微波遥感协同反演藏北表层土壤水分研究".土壤 51.5(2019):1020-1029.