干旱区生态环境知识资源中心(Arid): Radarsat-2/SAR和MODIS数据联合反演黄土高原地区植被覆盖下土壤水分研究

Arid

	Radarsat-2/SAR和MODIS数据联合反演黄土高原地区植被覆盖下土壤水分研究
其他题名	Soil Moisture Retrieved Using Radarsat-2/SAR and MODIS Remote Sensing Data in Vegetated Areas of Loess Plateau
	胡蝶; 郭铌; 沙莎; 王丽娟
来源期刊	遥感技术与应用
ISSN	1004-0323
出版年	2015
卷号	30 期号:5 页码:860-867
中文摘要	以黄土高原半干旱区定西为试验区,利用Radarsat-2/SAR和MODIS数据,将由MODIS NDVI估算的植被含水量(VWC)应用到微波散射Water-Cloud模型中校正植被的影响。采用交叉极化(VV/VH)组合方案对植被覆盖下土壤水分的反演进行初步探讨,结果表明:在植被影响校正前,模型反演土壤水分值出现明显低估现象;校正植被影响后,相关系数R由0.13提高到0.44,且通过alpha=0.01的显著性检验,标准差SD由5.02降低到4.30,有效提高了模型反演土壤水分的准确度。卫星反演的研究区土壤含水量大部分介于10%~30%之间,与实地考察情况一致,较好地反映出区域土壤湿度分布信息。表明,光学和微波协同遥感反演对于提高农田土壤水分遥感反演精度具有较大的应用潜力。
英文摘要	Radarsat-2/SAR and MODIS optical remote sensing data were used to retrieve soil moisture in Dingxi,which was located in the semi-arid region of the Loess Plateau,China.Based on the Normalized Difference Vegetation Index(NDVI)extracted from MODIS data,then estimated crop Vegetation Water Content(VWC)were applied to the Water-Cloud model to separate the contribution of the vegetation scattering and absorption.Using the cross polarization(VV/VH)combination model retrieve the soil moisture of crop covering under the preliminary discussion.The results have shown:Before the effect of vegetation removal,the value of model retrieved soil moisture was significantly under estimation.After separation of vegetation effect,the correlation coefficient R increased from 0.13to 0.44,and it was through the test of significance ofalpha=0.01;The standard deviation SD reduced from 5.02to 4.30,which effectively improved the accuracy of model retrieved soil moisture.Most of soil moisture content was between 10%~30%in the study area,which was consistent with the field situation,and can better reflect the regional distribution of soil moisture information.This study showed that optical and microwave remote sensing data has the larger applacation potential in improoing the accuracy of soil moisture readings in agricutural fields.
中文关键词	植被 ; Water-Cloud模型 ; 土壤水分
英文关键词	Radarsat-2 SAR MODIS Radarsat-2 SAR MODIS Vegetation Water-Cloud model Soil moistur
语种	中文
国家	中国
收录类别	CSCD
WOS类目	REMOTE SENSING
WOS研究方向	Remote Sensing
CSCD记录号	CSCD:5560945
来源机构	中国气象局兰州干旱气象研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/233557
作者单位	中国气象局兰州干旱气象研究所, 甘肃省干旱气候变化与减灾重点实验室;;中国气象局干旱气候变化与减灾重点实验室, 兰州, 甘肃 730020, 中国
推荐引用方式 GB/T 7714	胡蝶,郭铌,沙莎,等. Radarsat-2/SAR和MODIS数据联合反演黄土高原地区植被覆盖下土壤水分研究[J]. 中国气象局兰州干旱气象研究所,2015,30(5):860-867.
APA	胡蝶,郭铌,沙莎,&王丽娟.(2015).Radarsat-2/SAR和MODIS数据联合反演黄土高原地区植被覆盖下土壤水分研究.遥感技术与应用,30(5),860-867.
MLA	胡蝶,et al."Radarsat-2/SAR和MODIS数据联合反演黄土高原地区植被覆盖下土壤水分研究".遥感技术与应用 30.5(2015):860-867.