Paper
30 April 2019 Sampling strategy and product validation over nonuniform surface-based on TEM and CGM upscaling: A case study on LAI
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Abstract
Aimed at remote sensing product validation, such as leaf area index (LAI), a new sampling strategy based on Taylor expansion method (TEM) and computational geometry model (CGM) is proposed in this paper. Firstly, a correlation index (CI) is calculated based on TEM using high-resolution LAI image to choose the field points of in-situ reference data. Secondly, based on the selected field measurements, the CGM model is established for simulating low-resolution LAI image. Thirdly, the points of in-situ reference data are decided according to the gaps between the simulated LAI and the aggregated LAI from high resolution. If the gap is accepted, the sampling strategy is finally established for field measurement. Otherwise, the field measurements should be re-selected and analyzed until the gap is accepted. Finally, the new sampling strategy is analyzed and compared with traditional sampling strategies, and the results indicate that the sampling strategy proposed in this paper is more stable and efficient.
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Xiaohua Zhu, Lingling Ma, Chuanrong Li, Lingli Tang, Yongguang Zhao, and Huijing Zhang "Sampling strategy and product validation over nonuniform surface-based on TEM and CGM upscaling: A case study on LAI", Proc. SPIE 11026, Nonlinear Optics and Applications XI, 110261I (30 April 2019); https://doi.org/10.1117/12.2525310
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KEYWORDS
Transmission electron microscopy

Near infrared

Remote sensing

Atmospheric modeling

Atmospheric optics

Atmospheric particles

Hyperspectral imaging

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