Computationally Efficient Retrieval of Snow Surface Properties From Spaceborne Imaging Spectroscopy Measurements Through Dimensionality Reduction Using k-Means Spectral Clustering

求助中 20 由呆呆发布于 2026/7/3 17:40:45

DOI:10.1109/JSTARS.2024.3386834
作者：Brenton A. Wilder;Christine M. Lee;Adam Chlus;Hans-Peter Marshall;Jodi Brandt;Alicia M. Kinoshita;Josh Enterkine;Thomas Van Der Weide;Nancy F. Glenn
文献类型：期刊论文
补充材料：仅需补充材料
文献链接：https://doi.org/10.1109/JSTARS.2024.3386834

Institute of Electrical and Electronics Engineers (IEEE)

Abstract：Snow albedo is a crucial component to the energy balance of our seasonal snowpack on Earth, reflecting incoming solar irradiance and altering the Earth system. Seasonal snow surface properti

应助信息

等您来应助

上传文件

2小时前

Book学术机器人

2026/7/3 17:40:45 未找到该文献，机器人已退出，请等待人工下载

2026/7/3 17:40:45 Book学术AI机器人收到请求，开始寻找文献

2026/7/3 17:40:45 已向机器人发送请求

2小时前

呆呆发布求助

上一个求助:其它数据库Naturally Fractured Carbonate Reservoir Characterization: A Case Study of a Mature High-Pour Point Oil Field in Hungary 下一个求助:ElsevierEfficient sweet potato quality detection using pruned attention-based deep learning