ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume V-3-2020
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 395–399, 2020
https://doi.org/10.5194/isprs-annals-V-3-2020-395-2020
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 395–399, 2020
https://doi.org/10.5194/isprs-annals-V-3-2020-395-2020

  03 Aug 2020

03 Aug 2020

THE REVIEW OF SOIL MOISTURE MULTI-SCALE VERIFICATION METHODS

Z. Pang1,2, X. Qin1,2, W. Jiang1,2, J. Fu1,2, K. Yang1,2, J. Lu1,2, W. Qu1,2, L. Li1,2, and X. Li1,2 Z. Pang et al.
  • 1State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China
  • 2Remote Sensing Technology Application Center, Research Center of Flood and Drought Disaster Reduction of the Ministry of Water Resources, Beijing, China

Keywords: soil moisture, verification, remote sensing, multi-scale, cross-validation, ground penetrating radar

Abstract. Soil moisture is an important physical parameter to investigate water circulation, while it is difficult to be measured with spatiotemporal consistency. During the past several decades, a larger number of soil moisture verification methods were proposed, however, the review of soil moisture verification method from multi-scale perspective is still lacking. This paper investigates the verification method of soil moisture from three scale, such as point-scale, regional scale and remote sensing data verification. The prospect of soil moisture verification is proposed to serve retrieval algorithm validation.