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Triangle space-based surface soil moisture estimation by the synergistic use of insitu measurements and optical/thermal infrared remote sensing: An alternative to conventional validations
Zhao Wei1; Sánchez Nilda2; Li Ainong1
2018
Source PublicationIEEE Transactions on Geoscience and Remote Sensing
ISSN0196-2892
Volume56Issue:8Pages:4546-4558
SubtypeArticle
Contribution Rank1
AbstractTogether with the continuous development of passive microwave surface soil moisture (SSM) products from newly launched satellites, it is necessary to perform reliable validations to assess their accuracy. With this aim, a new 'bottom-up' validation approach is proposed based on the synergistic use of in situ SSM measurements from the soil moisture measurement station network (REMEDHUS) of the University of Salamanca, Salamanca, Spain, and optical/thermal infrared observations over 18 cloud-free days from Landsat-8. An SSM estimation method using the boundary information from the land surface temperature and normalized difference vegetation index triangle space was developed for regional SSM mapping. The retrieved SSM reached a relatively good performance (mean R2 and root-mean-squared error of 0.64 and 0.033 m3/m3 , respectively). Then, the regional SSM was aggregated into the grid-cell scale of the Advanced Microwave Scanning Radiometer 2 (AMSR2) L3 high-resolution (0.1° /10 km) soil moisture product to validate it both at network and grid-cell levels. At the network level, the derived regional SSM showed a good agreement with the averaged in situ measurements over the network ( R = 0.731 ). However, at the grid-cell level, small variations were observed for the cells over the network between the estimates and the AMSR2 product, with negative biases (-0.044 to -0.090m3/m3) and positive correlations ( R > 0.25 ) for most cells. In addition, it is shown that the descending product has a slightly better performance than does the ascending one. The preliminary assessments suggested that the proposed method provides new insights into the validation of passive microwave soil moisture products, while avoiding the common issue related to the big disparity in spatial scales between satellite observation and in situ measurements. © 1980-2012 IEEE.
KeywordCells Cytology Earth (planet) Mapping Mean square error Microwaves Optical variables measurement Radiometers Remote sensing Satellites Soil surveys Space optics
DOI10.1109/TGRS.2018.2825284
Indexed ByEI
Language英语
EI Accession NumberAccession number:20181905146798
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Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/26622
Collection中国科学院水利部成都山地灾害与环境研究所
Corresponding AuthorZhao Wei
Affiliation1.Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu;610041, China;
2.Centro Hispanoluso de Invetigaciones Agrarias, Universidad de Salamanca, Villamayor;37185, Spain
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Corresponding Author Affilication中国科学院水利部成都山地灾害与环境研究所
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Zhao Wei,Sánchez Nilda,Li Ainong. Triangle space-based surface soil moisture estimation by the synergistic use of insitu measurements and optical/thermal infrared remote sensing: An alternative to conventional validations[J]. IEEE Transactions on Geoscience and Remote Sensing,2018,56(8):4546-4558.
APA Zhao Wei,Sánchez Nilda,&Li Ainong.(2018).Triangle space-based surface soil moisture estimation by the synergistic use of insitu measurements and optical/thermal infrared remote sensing: An alternative to conventional validations.IEEE Transactions on Geoscience and Remote Sensing,56(8),4546-4558.
MLA Zhao Wei,et al."Triangle space-based surface soil moisture estimation by the synergistic use of insitu measurements and optical/thermal infrared remote sensing: An alternative to conventional validations".IEEE Transactions on Geoscience and Remote Sensing 56.8(2018):4546-4558.
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