Solar energy paper index
Approaches to Atmospheric Modelling and Multi-source Data Collection and Processing for the FINCH CubeSat
One-line summary
A solar energy research paper on Approaches to Atmospheric Modelling and Multi-source Data Collection and Processing for the FINCH CubeSat.
Engineering notes
Engineering notes will be added by the Power for Solar editorial team.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为光伏效率、钙钛矿太阳能电池、储能技术、太阳能热利用、BIPV、并网技术等高价值论文补充中文说明。
Original abstract
Abstract. We are presenting an atmospheric modelling and inversion model for the FINCH (Field Imaging Nanosatellite for Crop residue Hyperspectral mapping) pushbroom hyperspectral imaging CubeSat, built by the University of Toronto Aerospace Team Space Systems division. Such a model will allow us to validate our spectral unmixing pipeline under possible FINCH imaging conditions, as well as finalise and validate the atmospheric inversion pipeline for FINCH-sourced data, thus permitting scientifically useful data collection. FINCH, through innovations in crop residue cover mapping, will further enable sustainable agricultural practices, and serve as a template for other low cost, mission focused, scientificality useful remote sensing missions. We have accounted for all significant aspects that impact our capability to map crop residue cover, and we have developed a process to simulate data for training and validation.
Links and sources
Need this topic turned into a technical roadmap?
Power for Solar can prepare a custom solar energy literature review, simulation code map, dataset map, and B2B photovoltaic technology assessment.
Request B2B research
Comments