globalchange  > 气候减缓与适应
DOI: 10.1080/22797254.2019.1579618
WOS记录号: WOS:000475926300014
论文题名:
Spatial evaluation of L-band satellite-based soil moisture products in the upper Huai River basin of China
作者: Zhu, Liming1,2,3; Liu, Junzhi1,2,3; Zhu, A-Xing1,2,3,4; Duan, Zheng5
通讯作者: Liu, Junzhi
刊名: EUROPEAN JOURNAL OF REMOTE SENSING
EISSN: 2279-7254
出版年: 2019
卷: 52, 期:1, 页码:194-205
语种: 英语
英文关键词: L-band ; satellite-based soil moisture products ; SMAP ; SMOS ; ESA CCI
WOS关键词: DATA SETS ; AMSR-E ; SMAP ; SMOS ; RETRIEVALS ; VALIDATION ; RADIOMETER ; MODEL
WOS学科分类: Remote Sensing
WOS研究方向: Remote Sensing
英文摘要:

Using dense soil moisture (SM) measurements in the upper Huai River basin of China, this study evaluated the spatial patterns of L-band satellite-based SM products, including Soil Moisture Active Passive (SMAP) L3, Soil Moisture and Ocean Salinity (SMOS) L3 and the European Space Agency's Climate Change Initiative (ESA CCI) SM products. The mean difference (MD), root mean squared error (RMSE), unbiased root mean square error (ubRMSE) and Pearson correlation coefficient (R), were used in the evaluation. The evaluation results presented that SMAP and ESA CCI products can well capture the temporal variation of SM at single points quite well, with average R values of 0.51 and 0.46, respectively. And SMAP had the highest overall accuracy among the three satellite-based products in study area. We also analyzed the correlations between the four accuracy indexes and six environmental factors including the proportions of five land use/land cover types (i.e. water bodies, paddy fields, construction land, dryland and forest) and the average NDVI (Normalized Difference Vegetation Index) in 2016 in each grid. Analysis showed that the proportions of paddy fields and water bodies in each grid had significant positive correlations with MD, RMSE and ubRMSE, while NDVI, and the proportions of dryland and construction land had significant negative correlations with these three indexes. The significant correlations between the accuracy of SMAP, SMOS and ESA CCI SM products and environmental factors indicate that there exist systematic biases in these products, which can provide valuable insights into algorithm improvements.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/126414
Appears in Collections:气候减缓与适应

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作者单位: 1.Nanjing Normal Univ, Key Lab Virtual Geog Environm, Minist Educ, 1A Wenyuan Rd, Nanjing 210046, Jiangsu, Peoples R China
2.Nanjing Normal Univ, State Key Lab Cultivat Base Geog Environm Evolut, Nanjing, Jiangsu, Peoples R China
3.Nanjing Normal Univ, Jiangsu Ctr Collaborat Innovat Geog Informat Res, Nanjing, Jiangsu, Peoples R China
4.Univ Wisconsin, Dept Geog, Madison, WI 53706 USA
5.Tech Univ Munich, Chair Hydrol & River Basin Management, Munich, Germany

Recommended Citation:
Zhu, Liming,Liu, Junzhi,Zhu, A-Xing,et al. Spatial evaluation of L-band satellite-based soil moisture products in the upper Huai River basin of China[J]. EUROPEAN JOURNAL OF REMOTE SENSING,2019-01-01,52(1):194-205
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