SISTER Fractional Cover Product Generation Executive (PGE)
Creators
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Townsend, Philip
(Project member)1
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Gierach, Michelle M.
(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 M.
(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 Fractional Cover PGE generates fractional cover of soil, vegetation, water, and snow from corrected reflectance inputs using a spectral mixture analysis (Keshava and Mustard 2002). Spectral unmixing was performed using a four endmember dataset derived from the EMIT surface reflectance library (Thompson 2021a; 2021b; 2021c) to estimate fractional cover estimates of soil, vegetation, water and snow/ice. A brightness normalization was applied to minimize the impact of intraclass brightness variability on unmixing results. Output is a GeoTIFF containing layers for vegetation, soil, water, and snow and supporting files. 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
(2.4 GB)
| Name | Size | Download all |
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md5:f6f594971a9f9748c2cb6a2627dac4fe
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2.4 GB | Download |
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md5:f12e29b6156780cb7428cf08ce17cef8
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2.0 kB | Download |
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md5:0fed6fee8e465d6b15c359a241bd9a45
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58.5 kB | Download |
Additional details
Related works
- Is part of
- Dataset: 10.3334/ORNLDAAC/2335 (DOI)
Software
- Repository URL
- https://github.com/sister-jpl/sister-fractional-cover/releases/tag/2.0.0
- Programming language
- Python, Common Workflow Language, Dockerfile
References
- Keshava, N. and J.F. Mustard. 2002. Spectral unmixing. IEEE Signal Processing Magazine 19:44-57. https://doi.org/10.1109/79.974727
- Thompson D.R. 2021a. EMIT Manually Adjusted Vegetation Reflectance Spectra. Ecological Spectral Information System (EcoSIS). https://doi.org/10.21232/6sQDNjfv
- Thompson D.R. 2021b. EMIT Manually Adjusted Surface Reflectance Spectra. Data set. Ecological Spectral Information System (EcoSIS). https://doi.org/10.21232/ezrQtdcw
- Thompson D.R. 2021c. EMIT Manually Adjusted Snow and Liquids Reflectance Spectra. Data set. Ecological Spectral Information System (EcoSIS). https://doi.org/10.21232/xhgtM3A9
- 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