SISTER Snow Grain Size Product Generation Executive (PGE)
Creators
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Townsend, Phillip
(Project member)1
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Gierach, Michelle
(Project member)2
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Hua, Hook
(Project member)2
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Shah, Sujen
(Project member)2
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Olson-Duvall, Winston
(Project member)2
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Chlus, Adam
(Project member)2
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Ade, Christiana
(Project member)2
- Kwoun, Oh-Ig (Project member)2
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Lucas, Marjorie J.
(Project member)2
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Malarout, Namrata
(Project member)2
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Moroni, David F.
(Project member)2
- Neely, Susan (Project member)2
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Pon, Jeffery K.
(Project member)2
- Yu, Dan (Project member)2
-
1.
University of Wisconsin–Madison
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2.
Jet Propulsion Laboratory
Contributors
Description
The L2B snow grain size PGE takes as input L2A corrected surface reflectance and calculates snow grain size using the method of Nolin and Dozier (2000). Snow grain size is modeled as a function of scaled band area centered at the 1030 nm ice absorption feature. Snow grain size should only be calculated for pixels with greater than 90% snow cover. Output includes snow grain size esimates (micrometers) and a quality assurance mask that flags pixels with grain size estimates outside of the range of the model (60 - 1000 microns). Output format is a 2-band GeoTIFF with metadata in JSON format. This repository holds an archive of the source code (sister*.tar.gz) with full Common Workflow Language (CWL) per the Open Geospatial Consortium (OGC) Best practice document (https://docs.ogc.org/bp/20-089r1.html): a docker container (ogc*.tar.gz) and a process file (*.cwl).
Files
Files
(2.1 GB)
| Name | Size | Download all |
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md5:71d4ad98be55217da2c1d3133a72f7f4
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2.1 GB | Download |
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md5:fdcd73d095c9994dbf1f92a3bf19238a
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1.9 kB | Download |
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md5:122011acd0e90bf353772644606ca39a
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643.1 kB | Download |
Additional details
Related works
- Is part of
- Dataset: 10.3334/ORNLDAAC/2335 (DOI)
Software
- Repository URL
- https://github.com/sister-jpl/sister-grainsize/releases/tag/2.0.0
- Programming language
- Python, Common Workflow Language, Dockerfile
References
- Nolin, A.W. and J. Dozier. 2000. A hyperspectral method for remotely sensing the grain size of snow. Remote Sensing of Environment 74:207-216. https://doi.org/10.1016/S0034-4257(00)00111-5
- Townsend, P., M.M. Gierach, H. Hua, S. Shah, W. Olson-Duvall, A.M. Chlus, C. Ade, O. Kwoun, M.J. Lucas, N. Malarout, D.F. Moroni, S. Neely, J.K. Pon, and D. Yu. 2024. SISTER: Experimental Workflows, Product Generation Environment, and Sample Data, V004. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2335