DC Field | Value | Language |
dc.contributor.author | Belotserkovsky, A. | - |
dc.contributor.author | Abrahamyan, R. | - |
dc.contributor.author | Grigoryan, H. | - |
dc.contributor.author | Astsatryan, H. | - |
dc.contributor.author | Lalayan, A. | - |
dc.contributor.author | Lukashevich, P. | - |
dc.contributor.author | Shuliak, A. | - |
dc.coverage.spatial | Минск | en_US |
dc.date.accessioned | 2024-02-26T11:38:33Z | - |
dc.date.available | 2024-02-26T11:38:33Z | - |
dc.date.issued | 2023 | - |
dc.identifier.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. | en_US |
dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/54370 | - |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | BSU | en_US |
dc.subject | материалы конференций | en_US |
dc.subject | LST | en_US |
dc.subject | VIIRS | en_US |
dc.subject | Landsat | en_US |
dc.subject | remote sensing | en_US |
dc.subject | scientific gateway | en_US |
dc.title | An Advanced Scientific Gateway for Assessing Land Surface Temperatures Utilizing Landsat 8 and VIIRS Data | en_US |
dc.type | Article | en_US |
Appears in Collections: | Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023)
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