用于Landsat_9雪颗粒大小和反照率多尺度评估的无人机超光谱成像数据集

该数据集上传了发表在《遥感前沿》(2022/2023)上的“用于Landsat 9雪颗粒大小和反照率的多尺度评估的无人机超光谱成像”的代码和数据储存库，包括field spectrometer，landsat_retrievals，matlab code，nir_hsi_mosaics，分别表示存储地面光谱仪数据，存储Landsat数据处理结果，matlab代码，近红外高光谱成像数据经过处理后拼接而成的镶嵌图。

This dataset is a code and data repository for the paper titled "Unmanned Aerial Vehicle Hyperspectral Imaging for Multi-Scale Evaluation of Snow Grain Size and Albedo for Landsat 9", published in *Frontiers in Remote Sensing* (2022/2023). The repository contains four core components: `field spectrometer` for storing ground-based field spectrometer measurement data, `landsat_retrievals` for storing processing results derived from Landsat datasets, `matlab code` containing Matlab source code for relevant data processing and analysis workflows, and `nir_hsi_mosaics`, which refer to mosaics constructed from preprocessed near-infrared hyperspectral imaging data.