Conference paper Open Access
Algorithm for statistical downscaling of land surface temperature using ElasticNet
Kavats, Olena; Khramov, Dmitriy; Sergieieva, Kateryna
Nowadays there are many algorithms for statistical downscaling of land surface temperature (LST) that can improve the spatial resolution of this data (Zhan et al., 2013). The problem of existing algorithms is the necessity to select features and adjust the algorithm parameters depending on land surface classes present in the image. The objective was to develop an algorithm for downscaling land surface temperature with parameters minimally dependent on the land surface classes.
Files
(265.5 kB)
| Name | Size | |
|---|---|---|
|
BGS_GeoSciences2020_EOS.pdf
md5:61df46b7a7cce24433100f8dfe9e01c5 |
265.5 kB | Download |
64
52
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 64 | 64 |
| Downloads | 52 | 52 |
| Data volume | 13.8 MB | 13.8 MB |
| Unique views | 54 | 54 |
| Unique downloads | 47 | 47 |
Indexed in
- Publication date:
- September 15, 2021
- DOI:
-
- Keyword(s):
- Land Surface Temperature downscaling Landsat-8 ElasticNet
- Grants:
-
European Commission:
- Goldeneye - Earth observation and Earth GNSS data acquisition and processing platform for safe, sustainable and cost-efficient mining operations (869398)
- Meeting:
- Scientific conference with international participation "GEOSCIENCES 2020", Sofia University "St. Kliment Ohridski", December 3–4, 2020
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International