globalchange  > 全球变化的国际研究计划
DOI: 10.1080/07038992.2019.1650334
WOS记录号: WOS:000482713200001
论文题名:
Validation of Airborne Hyperspectral Imagery from Laboratory Panel Characterization to Image Quality Assessment: Implications for an Arctic Peatland Surrogate Simulation Site
作者: Soffer, Raymond J.1; Ifimov, Gabriela1; Arroyo-Mora, Juan Pablo1; Kalacska, Margaret2
通讯作者: Soffer, Raymond J.
刊名: CANADIAN JOURNAL OF REMOTE SENSING
ISSN: 0703-8992
EISSN: 1712-7971
出版年: 2019
语种: 英语
WOS关键词: EMPIRICAL LINE METHOD ; SPECTRAL CALIBRATION ; DIFFUSE-REFLECTANCE ; ATMOSPHERIC CORRECTION ; RADIANCE FACTOR ; CLIMATE-CHANGE ; FIELD ; ESTABLISHMENT ; DEGRADATION ; SCALES
WOS学科分类: Remote Sensing
WOS研究方向: Remote Sensing
英文摘要:

Calibration/validation (cal/val) practices applied to airborne hyperspectral imagery of Arctic regions were developed and assessed as an integrated up-scaling methodology that considers: (i) calibration of a laboratory reflectance reference panel; (ii) cross-calibration of multiple field panels; (iii) quality assurance checks of field spectroscopy data; and, (iv) comparison of results with airborne hyperspectral imagery. Overall errors of up to 27% were reduced to <4% using these methods. Calibration results of the laboratory panel provided an improvement of 1% in the visible, near and lower shortwave infrared regions with respect to best estimates achievable using manufacturer supplied calibration data. This improvement was transferred to field panels using an in-house cross-calibration approach that also allowed panels to be assessed for degradation that occurs during field deployment. Comparison of the field spectroscopy results of four cal/val targets with hyperspectral imagery following atmospheric correction identified discrepancies from 1% to 4% (absolute) between 450 nm and 1050 nm, with errors as high as 27% at lower wavelengths. Application of scene-based refinements using two cal/val targets reduced this error across the entire spectral range (<4%) with the most significant improvements below 500 nm. These methods also have important implications to satellite image analysis, especially in Arctic and northern regions.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/145557
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作者单位: 1.Natl Res Council Canada, Aerosp Res Ctr, Flight Res Lab, Ottawa, ON, Canada
2.McGill Univ, Dept Geog, Appl Remote Sensing Lab, Montreal, PQ, Canada

Recommended Citation:
Soffer, Raymond J.,Ifimov, Gabriela,Arroyo-Mora, Juan Pablo,et al. Validation of Airborne Hyperspectral Imagery from Laboratory Panel Characterization to Image Quality Assessment: Implications for an Arctic Peatland Surrogate Simulation Site[J]. CANADIAN JOURNAL OF REMOTE SENSING,2019-01-01
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