Diffuse-optical data set measured with a smartphone-based sensor on Potato Hill, Oregon, USA

This data set contains both raw data and derived data obtained on Potato Hill, Oregon, on December 17th 2021 using a diffuse-optical, smartphone-based sensor. The raw image files have been converted to an uncompressed Adobe-.dng file format, file names indicate whether the file contains data for the blue (405nm) or red (650nm) laser or spatial calibration data using a 9mm x 9mm calibration pattern. Spectral albedo measurements are contained in the subfilder ./Albedo, the raw images in ./Phone. The root directory contains the matlab code (Matlab R2021b) needed for analysis as well as the derived data.

For analyzing the raw data set, use "CameraMatchPotatoHillFinal.m". It wraps around the function "CameraAnalysisFinal.m", which performs the image analysis and least-square fit to resorted and rescaled data, employing in turn the model function "theosurfGInf.m". It saves a derived data set (attenuation, absorption and scattering coefficients, albedos, absorption enhancement factor and snow density.

The script "Albedo.m" analyzes the derived data set along with measured albedo and simulated albedo deposited in the file "snicar_120ppb.txt". The obtained albedo curves and black carbon mixing ratio are as shown in the below manuscript.

If you wish to use this data set please contact Markus Allgaier at [e-mail] with a description of the work and any questions so that we may offer guidance in regards to the best usage of our dataset. When using the data set within a publication, please cite:

Markus Allgaier & Brian Smith, "A Smartphone-Based Sensor for Measuring the Optical Properties of Snow", in preparation, (2022)

本数据集涵盖2021年12月17日于美国俄勒冈州波托希尔（Potato Hill）采集的原始数据与衍生数据，采集装置为基于智能手机的漫射光学（diffuse-optical）传感器。原始图像文件已转换为未压缩的Adobe-.dng格式，文件名可用于标识文件对应蓝色（405nm）激光、红色（650nm）激光的数据，或是采用9mm×9mm标定图案获取的空间标定数据。光谱反照率（spectral albedo）测量数据存储于子文件夹./Albedo中，原始图像则存储于./Phone目录下。根目录包含数据分析所需的Matlab代码（Matlab R2021b）与衍生数据集。

如需对原始数据集开展分析，请使用"CameraMatchPotatoHillFinal.m"脚本。该脚本封装了"CameraAnalysisFinal.m"函数，后者可对重排序并缩放后的数据执行图像分析与最小二乘拟合，并依次调用模型函数"theosurfGInf.m"。分析结果将保存为衍生数据集，涵盖衰减系数、吸收系数、散射系数、反照率、吸收增强因子及积雪密度。

脚本"Albedo.m"可结合存储于文件"snicar_120ppb.txt"中的实测反照率与模拟反照率，对衍生数据集进行分析，所得反照率曲线与黑碳混合比详见下述手稿。

若您希望使用本数据集，请通过[e-mail]联系马库斯·奥尔盖尔（Markus Allgaier），并附上研究用途说明与相关疑问，以便我们为您提供该数据集最佳使用方式的相关指导。若在学术出版物中使用本数据集，请引用如下文献：
马库斯·奥尔盖尔（Markus Allgaier）与布莱恩·史密斯（Brian Smith），《一款用于测量积雪光学特性的智能手机基传感器》（*A Smartphone-Based Sensor for Measuring the Optical Properties of Snow*），待发表（2022年）。