Summary & Purpose
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.
Date of Publication or Submission
Wilder, Brenton A.; Enterkine, Josh; Marshall, Hans-Peter; Van der Weide, Thomas; and Glenn, Nancy F.. (2023). Dataset for ASD FieldSpec4 Snow and Conifer Measurements in Idaho and Colorado (2022-2023) [Data set]. Retrieved from https://doi.org/10.18122/bcal_data.7.boisestate
FINESST Award, 21-EARTH21-0249
Single Dataset or Series?
*.csv, *.jpg, *.png, *.txt
See both README.txt files.
Privacy and Confidentiality Statement
Boise State is explicitly compliant with federal and state laws surrounding data privacy including the protection of personal financial information through the Gramm-Leach-Bliley Act, personal medical information through HIPAA, HITECH and other regulations. All human subject data (e.g., surveys) has been collected and managed only by personnel with adequate human subject protection certification.
Users are free to share, copy, distribute and use the dataset; to create or produce works from the dataset; to adapt, modify, transform and build upon the dataset as long as the user attributes any public use of the dataset, or works produced from the dataset, referencing the author(s) and DOI link. For any use or redistribution of the dataset, or works produced from it, the user must make clear to others the license of the dataset and keep intact any notices on the original dataset.
Disclaimer of Warranty
BOISE STATE UNIVERSITY MAKES NO REPRESENTATIONS ABOUT THE SUITABILITY OF THE INFORMATION CONTAINED IN OR PROVIDED AS PART OF THE SYSTEM FOR ANY PURPOSE. ALL SUCH INFORMATION IS PROVIDED "AS IS" WITHOUT WARRANTY OF ANY KIND. BOISE STATE UNIVERSITY HEREBY DISCLAIMS ALL WARRANTIES AND CONDITIONS WITH REGARD TO THIS INFORMATION, INCLUDING ALL WARRANTIES AND CONDITIONS OF MERCHANTABILITY, WHETHER EXPRESS, IMPLIED OR STATUTORY, FITNESS FOR A PARTICULAR PURPOSE, TITLE AND NON-INFRINGEMENT.
IN NO EVENT SHALL BOISE STATE UNIVERSITY BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF INFORMATION AVAILABLE FROM THE SYSTEM.
THE INFORMATION PROVIDED BY THE SYSTEM COULD INCLUDE TECHNICAL INACCURACIES OR TYPOGRAPHICAL ERRORS. CHANGES ARE PERIODICALLY ADDED TO THE INFORMATION HEREIN. COMPANY AND/OR ITS RESPECTIVE SUPPLIERS MAY MAKE IMPROVEMENTS AND/OR CHANGES IN THE PRODUCT(S) AND/OR THE PROGRAM(S) DESCRIBED HEREIN AT ANY TIME, WITH OR WITHOUT NOTICE TO YOU.
BOISE STATE UNIVERSITY DOES NOT MAKE ANY ASSURANCES WITH REGARD TO THE ACCURACY OF THE RESULTS OR OUTPUT THAT DERIVES FROM USE OF THE SYSTEM.