Szerző szerinti böngészés "Guizani, Douraied"

Megjelenítve 1 - 8 (Összesen 8)
  • Nincs kép
    TételSzabadon hozzáférhető
    An advanced classification method for urban land cover classification
    (2024-06-03) Guizani, Douraied; Buday-Bódi, Erika; Tamás, János; Nagy, Attila
    This manuscript presents a detailed comparative analysis of three advanced classification techniques that were used between 2018 and 2020 to classify land cover using Landsat8 imagery, namely Support Vector Machine (SVM), Maximum Likelihood Classification (MLSC), and Random Forests (RF). The study focuses on evaluating the accuracy of these methods by comparing the classified maps with a higher-resolution ground truth map, utilising 500 randomly selected points for assessment. The obtained results show that, compared to MLSC and RT, the Support Vector Machine (SVM) approach performs better. The SVM model demonstrates enhanced precision in land cover classification, showcasing its effectiveness in discerning subtle differences in landscape features. Furthermore, using the precise classification results produced by the SVM method, this study examines the temporal variations in land cover between 2018 and 2020. The results provide insight into dynamic land cover changes and highlight the significance of applying reliable classification techniques for thorough temporal analysis with Landsat8 images.
  • Nincs kép
    TételSzabadon hozzáférhető
    An advanced classification method for urban land cover classification
    (2024) Guizani, Douraied; Bódi, Erika; Tamás, János; Nagy, Attila
  • Nincs kép
    TételSzabadon hozzáférhető
    Characterisation of basic water balance parameters of Debrecen
    (2022-05-26) Guizani, Douraied; Budayné Bódi, Erika; Tamás, János; Nagy, Attila
    This work aims to develop a hydrological modelling tool to help managers make the right decisions for Debrecen, in the face of water scarcity and the increase in agricultural and domestic needs over time. The methodology was based on the creation of a climatic database, at monthly time steps, from 2016 to 2019, and cartographic (land use, digital elevation model, and hydrological network). As a next step, the watershed was delimitated into sub-basins to determine the shape and the physiographic characteristics of sub-watersheds. Finally, a hydrological study was prepared by calculating the time of concentration to build a database of water resources in the study area. This water resource will be used as an input parameter for urban farming.
  • Nincs kép
    TételSzabadon hozzáférhető
    Characterisation of basic water balance parameters of Debrecen
    (2022) Guizani, Douraied; Bódi, Erika; Tamás, János; Nagy, Attila
  • Nincs kép
    TételSzabadon hozzáférhető
    Enhancing the Urban Atlas Features with the Water Balance Estimates Using the Landsat 8 Imagery
    (2023) Guizani, Douraied; Bódi, Erika; Tamás, János; Nagy, Attila
  • Nincs kép
    TételSzabadon hozzáférhető
  • Nincs kép
    TételSzabadon hozzáférhető
    Land cover modelling with Sentinel 2 in water balance calculations of urban sites
    (2023) Guizani, Douraied; Bódi, Erika; Tamás, János; Nagy, Attila
  • Nincs kép
    TételKorlátozottan hozzáférhető
    Relationship between land cover and infiltration rate in Debrecen (Hungary)
    Guizani, Douraied; Budayné Bódi, Erika; DE--Mezőgazdaság- Élelmiszertudományi és Környezetgazdálkodási Kar
    In this study, we develop a GIS tool at the hydrological basin scale.that supports water management resources in Debrecen, explain the relationships between land uses and major processes hydrological aspects of the water cycle, and study the impacts of land cover on the main hydrological processes of the water parameters. The analysis of hydrological behavior is complex. In the context of this thesis, only one dimension of this complexity is understood in the form of indicators constructed to inform the relationship between land cover classes and three major hydrological processes in the water cycle: evapotranspiration, runoff, and infiltration. We developed a remote sensing and geographical information system-based spatial decision support tool for water balance modelling to estimate the infiltration and other water cycle parameters rate in each land class, understand the relationships between land uses and major processes hydrological aspects of the water cycle, and study the impacts of land cover on the main hydrological processes.