研究目的
to use imaging spectroscopy to identify the spatiotemporal distribution of quantitative snow properties at study sites in the Sierra Nevada and Rocky Mountains.
研究成果
The study provides insights into the spatial and temporal variability of snow properties in mountainous regions, highlighting the importance of snow albedo and grain size in understanding snowmelt processes. It also demonstrates the utility of imaging spectroscopy in snow research.
研究不足
The study is limited by the spatial and temporal coverage of the AVIRIS data, potential biases in snow grain size retrieval under melting conditions, and the influence of terrain shadows on retrievals.
1：Experimental Design and Method Selection:
The study utilizes imaging spectroscopy data from AVIRIS to analyze snow properties.
2：Sample Selection and Data Sources:
Data from 2009 in California’s Sierra Nevada and from 2011 in Colorado’s Rocky Mountains.
3：List of Experimental Equipment and Materials:
NASA/JPL Airborne Visible/Infrared Imaging Spectrometer (AVIRIS).
4：Experimental Procedures and Operational Workflow:
Snow properties are derived from AVIRIS data, including snow cover, grain size, albedo, and radiative forcing.
5：Data Analysis Methods:
The study employs retrieval algorithms based on radiative transfer models to analyze the data.
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