A Comprehensive Description of Multi-Term LSM for Applying Multiple a Priori Constraints in Problems of Atmospheric Remote Sensing: GRASP Algorithm, Concept, and Applications-Reference-Cited by-同舟云学术

A Comprehensive Description of Multi-Term LSM for Applying Multiple a Priori Constraints in Problems of Atmospheric Remote Sensing: GRASP Algorithm, Concept, and Applications

Published:2021-10-19 Issue: Volume:2 Page:
ISSN:2673-6187
Container-title:Frontiers in Remote Sensing
language:
Short-container-title:Front. Remote Sens.

Author:

Dubovik Oleg,Fuertes David,Litvinov Pavel,Lopatin Anton,Lapyonok Tatyana,Doubovik Ivan,Xu Feng,Ducos Fabrice,Chen Cheng,Torres Benjamin,Derimian Yevgeny,Li Lei,Herreras-Giralda Marcos,Herrera Milagros,Karol Yana,Matar Christian,Schuster Gregory L.,Espinosa Reed,Puthukkudy Anin,Li Zhengqiang,Fischer Juergen,Preusker Rene,Cuesta Juan,Kreuter Axel,Cede Alexander,Aspetsberger Michael,Marth Daniel,Bindreiter Lukas,Hangler Andreas,Lanzinger Verena,Holter Christoph,Federspiel Christian

Abstract

Advanced inversion Multi-term approach utilizing multiple a priori constraints is proposed. The approach is used as a base for the first unified algorithm GRASP that is applicable to diverse remote sensing observations and retrieving a variety of atmospheric properties. The utilization of GRASP for diverse remote sensing observations is demonstrated.

Funder

Université de Lille

Publisher

Frontiers Media SA

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