A Pixel-Scale Measurement Method of Soil Moisture Using Ground-Penetrating Radar

被引:3
|
作者
Song, Wenlong [1 ,2 ]
Lu, Yizhu [1 ,2 ]
Wang, Yu [3 ]
Lu, Jingxuan [1 ,2 ]
Shi, Haixian [3 ]
机构
[1] China Inst Water Resources & Hydropower Res, Sate Key Lab Simulat & Regulat Water Cycle River B, Beijing 100038, Peoples R China
[2] Minist Water Resources, China Inst Water Resources & Hydropower Res, Res Ctr Flood & Drought Disaster Reduct, Beijing 100038, Peoples R China
[3] City River & Lake Management Off Beijing, Beijing 100089, Peoples R China
关键词
ground-penetrating radar; soil moisture; remote sensing pixel; scale issue; ground validation; WATER CONTENT; SPATIAL VARIATION; FIELD-SCALE; DROUGHT; GPR;
D O I
10.3390/w15071318
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Ground validation of remote sensing soil moisture requires ground measurements corresponding to the pixel scale. To date, there is still a lack of simple, fast and reasonable methods for soil moisture measurement at pixel scale between point measurements and remote sensing observations. In this study, a measurement method of soil moisture using ground-penetrating radar (GPR) was proposed for pixel scale. We used a PulseEKKOTM PRO GPR system with 250 MHz antennas to measure soil moisture by Fixed Offset (FO) method in four 30 x 30 m(2) plots chosen from the desert steppe. This study used a random combination method to analyze soil moisture measurements acquired by different numbers of GPR survey lines. The results showed that two survey lines of GPR would be sufficient under confidence level of 90% with the relative error of 7%, and four survey lines of GPR would be eligible under confidence level of 95% with the relative error of 5% for each plot. GPR measurement can reproduce the spatial distribution of soil moisture with higher resolution and smaller error, especially when two and four survey lines are designed in cross shape and grid shape, respectively. The method was applied to ground validation for the soil moisture from Landsat 8, showing the advantages of stable relative errors, less contingency and reliable evaluation when compared to point measurements. This method is fast and convenient and not limited to a certain pixel, and thus largely benefits the scale matching of remote sensing results and field measurements in ground validation.
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页数:17
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