Analysis of Single-photon Laser Altimetry Technique Based on Least Square Plane Fitting
This paper describes a novel data processing technique for single-photon laser data based on least squares plane fitting,this method primarily employs the repetitive orbit algorithm and least squares plane fitting algorithm.Through steps such as data extraction and processing,the technique is applied to process ICESat-2-ATL06 land ice data.Using the CookE2 subglacial lake as a case study,accurate determination of the elevation changes and rates of elevation change along the track from October 2018 to April 2023 is achieved.
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万方数据
