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https://elib.bsu.by/handle/123456789/331107Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Zhao, B. | |
| dc.date.accessioned | 2025-06-27T08:17:13Z | - |
| dc.date.available | 2025-06-27T08:17:13Z | - |
| dc.date.issued | 2025 | |
| dc.identifier.citation | ГИС-технологии в науках о Земле : материалы междунар. науч.-практ. семинара студентов и молодых ученых, Минск, 20 нояб. 2024 г. / Белорус. гос. ун-т ; редкол.: А. Н. Червань (гл. ред.) [и др.]. – Минск : БГУ, 2025. – С. 289-294. | |
| dc.identifier.isbn | 978-985-811-723-7 | |
| dc.identifier.uri | https://elib.bsu.by/handle/123456789/331107 | - |
| dc.description | Раздел I. ГИС в научных и прикладных исследованиях | |
| dc.description.abstract | Soil organic matter content change in the Minsk region of Belarus was inverted using Sentinel-2A multispectral remote sensing images in conjunction with information on measured soil organic matter content classes. After image preprocessing, characteristic bands were selected by correlation analysis and a multispectral model was constructed using a gradient boosting classifier for the inversion of soil organic matter content in the study area. The study can provide technical support and reference for dynamic monitoring of soil organic matter content | |
| dc.language.iso | en | |
| dc.publisher | Минск : БГУ | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Геодезия. Картография | |
| dc.subject | ЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Информатика | |
| dc.subject | ЭБ БГУ::ТЕХНИЧЕСКИЕ И ПРИКЛАДНЫЕ НАУКИ. ОТРАСЛИ ЭКОНОМИКИ::Сельское и лесное хозяйство | |
| dc.title | A study of soil organic matter content change in Minsk region based on gradient boosted tree classifiers | |
| dc.type | conference paper | |
| Appears in Collections: | 2024. ГИС-технологии в науках о Земле | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 289-294.pdf | 326,39 kB | Adobe PDF | View/Open |
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