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https://elib.bsu.by/handle/123456789/306217| Title: | An Advanced Scientific Gateway for Assessing Land Surface Temperatures Utilizing Landsat 8 and VIIRS Data |
| Authors: | Belotserkovsky, Alexei Abrahamyan, Rita Grigoryan, Hayk Astsatryan, Hrachya Lukashevich, Pavel Shuliak, Andrey |
| Keywords: | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика |
| Issue Date: | 2023 |
| Publisher: | Minsk : BSU |
| Citation: | Pattern Recognition and Information Processing (PRIP’2023). Artificial Universe: New Horisont : Proceedings of the 16 th International Conference, Belarus, Minsk, October 17–19, 2023 / Belarusian State University : eds. A. Nedzved, A. Belotserkovsky. – Minsk : BSU, 2023. – Pp. 139-142. |
| Abstract: | 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://elib.bsu.by/handle/123456789/306217 |
| ISBN: | 978-985-881-522-6 |
| Sponsorship: | The research was supported by the Science Committee of the Republic of Armenia within the State Target Program project entitled "Creating a Cloud Computing Environment for Solving Scientific and Applied Problems" (№ 1-8/TB-23) and joint Armenian-Belarusian research project entitled “Remote sensing data processing methods using neural networks and deep learning to predict changes in weather phenomena and air pollution”. |
| Licence: | info:eu-repo/semantics/openAccess |
| Appears in Collections: | 2023. Pattern Recognition and Information Processing (PRIP’2023). Artificial Intelliverse: Expanding Horizons |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 139-142.pdf | 229,17 kB | Adobe PDF | View/Open |
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