干旱区生态环境知识资源中心(Arid): 一种改进的土壤水分微波遥感反演模型

Arid

	一种改进的土壤水分微波遥感反演模型
其他题名	Improved soil moisture retrieval model from remotely sensed microwave data
	张显峰; 赵杰鹏; 刘羽
来源期刊	地理科学进展
ISSN	1007-6301
出版年	2013
卷号	32 期号:1 页码:78-86
中文摘要	利用微波遥感数据反演地表土壤水分有着较好的物理基础,可实现大范围土壤水分状况的遥感监测。本文基于被动微波传感器AMSR-E的X波段数据,将土壤水分值分解成基准值和日变化量两个部分,并分别建立反演模型,同时引入降雨修正因子来进一步提高土壤水分的估算精度;利用IDL语言实现了我们所研发的模型,并集成为新疆土壤水分遥感反演系统模块之一;利用WatchDog2400与传统铝盒采样获取的新疆地面土壤水分数据,提取适合的模型经验参数,并对模型结果进行精度评价。结果表明,经改进的模型反演得到的新疆土壤水分结果比美国冰雪数据中心的土壤水分产品在精度上有显著提高:均方根误差由8.4%降低为4.25%;所研发的软件模块可为相关应用部门提供快速的大范围土壤水分监测产品。
英文摘要	Retrieving land surface soil water content from remotely sensed passive microwave data has a good physical basis. Thus, it can provide dynamic monitoring of large-range soil moisture condition. The Advanced Microwave Scanning Radiometer for EOS (AMSR-E) data were used to derive soil moisture base value and daily variation for each image pixel, respectively, to build an inversion model for retrieving soil moisture information. A precipitation impact factor was proposed and incorporated into the modeling process to improve the accuracy of soil moisture retrieval. The IDL language was used to implement the proposed model as software modules of the System of Xinjiang Soil Moisture Inversion from Remotely Sensed Data. The in-situ measured soil moisture data by the WatchDog 2400 instrument and Loss-on-Drying method were used to derive empirical parameters for the regressive model that are suited to the conditions in Xinjiang, and to verify the proposed model output. The results show that, with reference to the data of in-situ measurements, our improved model can achieve better estimation of Xinxiangs soil moisture than the soil moisture products of US National Snow & Ice Data Center (NSIDC). The RMSE is improved from 8.4% to 4.25%. The software modules developed in this study can provide a tool for quick soil moisture monitoring in a large area such as Xinjiang.
中文关键词	微波 ; 土壤水分 ; 干旱区
英文关键词	AMSR-E ENVI/IDL microwave soil moisture AMSR-E ENVI/IDL arid areas
语种	中文
国家	中国
收录类别	CSCD
WOS类目	GEOSCIENCES MULTIDISCIPLINARY
WOS研究方向	Geology
CSCD记录号	CSCD:4756496
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/229335
作者单位	北京大学遥感与地理信息系统研究所, 北京 100871, 中国
推荐引用方式 GB/T 7714	张显峰,赵杰鹏,刘羽. 一种改进的土壤水分微波遥感反演模型[J],2013,32(1):78-86.
APA	张显峰,赵杰鹏,&刘羽.(2013).一种改进的土壤水分微波遥感反演模型.地理科学进展,32(1),78-86.
MLA	张显峰,et al."一种改进的土壤水分微波遥感反演模型".地理科学进展 32.1(2013):78-86.