https://libeldoc.bsuir.by/handle/123456789/54370| Title: | An Advanced Scientific Gateway for Assessing Land Surface Temperatures Utilizing Landsat 8 and VIIRS Data |
| Authors: | Belotserkovsky, A. Abrahamyan, R. Grigoryan, H. Astsatryan, H. Lalayan, A. Lukashevich, P. Shuliak, A. |
| Keywords: | материалы конференций;LST;VIIRS;Landsat;remote sensing;scientific gateway |
| Issue Date: | 2023 |
| Publisher: | BSU |
| Citation: | An Advanced Scientific Gateway for Assessing Land Surface Temperatures Utilizing Landsat 8 and VIIRS Data / A. Belotserkovsky [et al.] // Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023) : Proceedings of the 16th International Conference, October 17–19, 2023, Minsk, Belarus / United Institute of Informatics Problems of the National Academy of Sciences of Belarus. – Minsk, 2023. – P. 139–142. |
| Abstract: | This The article presents an example of using a service-oriented platform based on data cube technology. This platform has been implemented in two versions, one in Belarus and the other in Armenia, serving as a gateway for estimating land surface temperature (LST) using Landsat 8 and VIIRS data. The gateway provides access to four LST search algorithms and two interpolation methods for generating LST time series. The study identified the most accurate LST estimates, and it confirmed that VIIRS LST products exhibit reasonable levels of accuracy. |
| URI: | https://libeldoc.bsuir.by/handle/123456789/54370 |
| Appears in Collections: | Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023) |
| File | Description | Size | Format | |
|---|---|---|---|---|
| Belotserkovsky_An_Advanced.pdf | 244.37 kB | Adobe PDF | View/Open |
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