Spectral energy model-driven inversion of XCO2 in IPDA lidar remote sensing

Carbon observation satellites based on passive theory (e.g., OCO-2/3, GOSAT-1/2, and TanSat) have relatively high carbon dioxide column concentration (XCO 2 ) accuracy when the observation conditions are met. Passive satellites have data bias and coverage deficiencies due to cloud cover, low albedo,...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2023-01, Vol.61, p.1-1
Hauptverfasser:	Zhang, Haowei, Han, Ge, Ma, Xin, Li, Siwei, Xu, Hao, Shi, Tianqi, Yuan, Jianye, Zhong, Wanqin, Peng, Yanran, Xu, Jingjing, Gong, Wei
Format:	Artikel
Sprache:	eng
Schlagworte:	Absorption Accuracy Active monitoring Active satellites Albedo Algorithms Anthropogenic factors Atmospheric modeling Carbon Carbon dioxide Carbon dioxide concentration Carbon sources Cloud cover Data models Detection Energy Inversion IPDA Laser radar Lidar Mathematical models Mountains Optimization Passive satellites Remote observing Remote sensing Satellite observation Satellites Standard deviation XCO<sub xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">2
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