Detection of Snow Cover from Historical and Recent AVHHR Data—A Thematic TIMELINE Processor
Abstract
:1. Introduction
2. Materials and Methods
2.1. Normalized Difference Snow Index (NDSI)
2.2. Snow Cover—TIMELINE Level 2 Processor
2.3. Snow Cover—TIMELINE Level 3 Processor
2.4. Validation with MODIS
3. Results
3.1. Timeline Snow Cover—Level 2 and Level 3 Products
3.2. Validation Result
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Bit | Value | Description |
---|---|---|
1 | 128 | Missing data or night (solar zenith angle > 85°) |
2 | 64 | Pixel covered with clouds |
3 | 32 | Pixel classified as water |
4 | 16 | Unfavorable illumination and/or observation geometry (sun zenith angle > 70°, satellite zenith angle > 65°) |
5 | 8 | Brightness temperature of Band 4 too high (>281 K) |
6 | 4 | SWIR reflectance too high (>25%–reclassified to “snow free” if >45%) |
7 | 2 | VIS Reflectance too low (<7% in Band 1 or 2) |
8 | 1 | Pixels classified as “snow free” |
MODIS | |||
---|---|---|---|
Snow | Snow-Free | ||
AVHRR | Snow | TP (true positive) | FP (false positive) |
Snow-free | FN (false negative) | TN (true negative) |
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Rößler, S.; Dietz, A.J. Detection of Snow Cover from Historical and Recent AVHHR Data—A Thematic TIMELINE Processor. Geomatics 2022, 2, 144-160. https://doi.org/10.3390/geomatics2010009
Rößler S, Dietz AJ. Detection of Snow Cover from Historical and Recent AVHHR Data—A Thematic TIMELINE Processor. Geomatics. 2022; 2(1):144-160. https://doi.org/10.3390/geomatics2010009
Chicago/Turabian StyleRößler, Sebastian, and Andreas J. Dietz. 2022. "Detection of Snow Cover from Historical and Recent AVHHR Data—A Thematic TIMELINE Processor" Geomatics 2, no. 1: 144-160. https://doi.org/10.3390/geomatics2010009