Výsledky vyhledávání - "László Bertalan"

Akademický článek

Comparative examinations of wind speed and energy extrapolation methods using remotely sensed data – A case study from Hungary

Autor: István Lázár, István Hadnagy, Boglárka Bertalan-Balázs, László Bertalan, Sándor Szegedi

Publikováno v: Energy Conversion and Management: X, Vol 24, Iss , Pp 100760- (2024)

Exact knowledge of wind energy potential is a fundamental issue in wind energy utilization. The vertical changes in wind speeds, that is, the wind profile, have a predominant impact on the wind energy available at a location because the kinetic energ

Externí odkaz: https://doaj.org/article/f8bb5f2d4c7842659970f2884b5163c9

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Akademický článek

Identification of roofing materials with Discriminant Function Analysis and Random Forest classifiers on pan-sharpened WorldView-2 imagery – a comparison

Autor: Dávid Abriha, Zoltán Kovács, Sarawut Ninsawat, László Bertalan, Boglárka Balázs, Szilárd Szabó

Publikováno v: Hungarian Geographical Bulletin, Vol 67, Iss 4, Pp 375-392 (2018)

Identification of roofing material is an important issue in the urban environment due to hazardous and risky materials. We conducted an analysis with Discriminant Function Analysis (DFA) and Random Forest (RF) on WorldView-2 imagery. We applied a thr

Externí odkaz: https://doaj.org/article/d282ae93512f464eb36a43e3f992826a

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Akademický článek

Remote Sensing of Riparian Ecosystems

Autor: Miloš Rusnák, Tomáš Goga, Lukáš Michaleje, Monika Šulc Michalková, Zdeněk Máčka, László Bertalan, Anna Kidová

Publikováno v: Remote Sensing, Vol 14, Iss 11, p 2645 (2022)

Riparian zones are dynamic ecosystems that form at the interface between the aquatic and terrestrial components of a landscape. They are shaped by complex interactions between the biophysical components of river systems, including hydrology, geomorph

Externí odkaz: https://doaj.org/article/943856c2d4454e9a8b901a4c26e0980e

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Akademický článek

Building Extraction Using Orthophotos and Dense Point Cloud Derived from Visual Band Aerial Imagery Based on Machine Learning and Segmentation

Autor: Aletta Dóra Schlosser, Gergely Szabó, László Bertalan, Zsolt Varga, Péter Enyedi, Szilárd Szabó

Publikováno v: Remote Sensing, Vol 12, Iss 15, p 2397 (2020)

Urban sprawl related increase of built-in areas requires reliable monitoring methods and remote sensing can be an efficient technique. Aerial surveys, with high spatial resolution, provide detailed data for building monitoring, but archive images usu

Externí odkaz: https://doaj.org/article/f6b0c0366dda43bf8fa8335ab79ba41d

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Akademický článek

Machine Learning for Gully Feature Extraction Based on a Pan-Sharpened Multispectral Image: Multiclass vs. Binary Approach

Autor: Kwanele Phinzi, Dávid Abriha, László Bertalan, Imre Holb, Szilárd Szabó

Publikováno v: ISPRS International Journal of Geo-Information, Vol 9, Iss 4, p 252 (2020)

Gullies reduce both the quality and quantity of productive land, posing a serious threat to sustainable agriculture, hence, food security. Machine Learning (ML) algorithms are essential tools in the identification of gullies and can assist in strateg

Externí odkaz: https://doaj.org/article/834b8fd7e64c46b788a541cf555778e9

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Akademický článek

Issues of Meander Development: Land Degradation or Ecological Value? The Example of the Sajó River, Hungary

Autor: László Bertalan, Tibor József Novák, Zoltán Németh, Jesús Rodrigo-Comino, Ádám Kertész, Szilárd Szabó

Publikováno v: Water, Vol 10, Iss 11, p 1613 (2018)

The extensive destruction of arable lands by the process of lateral bank erosion is a major issue for the alluvial meandering type of rivers all around the world. Nowadays, land managers, stakeholders, and scientists are discussing how this process a

Externí odkaz: https://doaj.org/article/5392a513ff72414d880d4de9e04f3f9c

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