Dataset for ASD FieldSpec4 Snow and Conifer Measurements in Idaho and Colorado (2022-2023)
Boise State ScholarWorks
2023
- 137Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage137
- Downloads90
- Abstract Views47
Dataset Description
Snow surface albedo is a crucial component to the energy balance of our seasonal snowpack on planet Earth, reflecting most of the incoming solar radiation, and maintaining cool snow surface temperatures. It is therefore important for us to understand the spatial and temporal distributions of snow properties. Snow albedo can be estimated from satellite remote sensing, however, pixels from images often contain other surfaces (i.e., mixed pixels). To help validate modeling and remote sensing studies, we provide a dataset that spans from 2022-2023 for sites in Idaho and Colorado and includes 4 measurements of spectral snow albedo, total solar irradiance, and diffuse irradiance, 5 measurements of spectral snow reflectance, and 7 measurements of spectral reflectance of conifer needles. We hope this dataset is helpful in future validation efforts and algorithm development for snow related products.
Bibliographic Details
Boise State University, Albertsons Library
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