Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections

Permanent URI for this collectionhttps://hdl.handle.net/20.500.13091/3

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Browsing Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections by Publisher "Ain Shams University"

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    Citation - WoS: 3
    Citation - Scopus: 3
    Evaluation of Multi-Camera Images in Different Sfm-Mvs Based Photogrammetric Software and Comparison of Digital Products in Generating 3d City Models
    (Ain Shams University, 2024) Saglam, İ.E.; Karasaka, L.
    High-resolution 3D city modeling is generated using the oblique and vertical (nadir) imaging features of multi-camera systems. There are several SfM-MVS based photogrammetric software available. They enable high-resolution image processing and matching and acquire successful outcomes. The orientation of large photogrammetric blocks consisting of multiple sets of images and the accuracy of the 3D city models to be obtained vary according to the ability of the software using these approaches to solve large image matrix problems. In this study, a 3D city model was produced with vertical and oblique images obtained with UltraCam Osprey Mark 3 Premium camera in a selected application area in Kütahya city center. The main purpose of the study is to evaluate the point cloud, textured mesh model, digital elevation model, true orthophoto products and vectorial roof detail drawings via utilizing the vertical + oblique images with different SfM-MVS based photogrammetric software and to compare the results. © 2024 THE AUTHORS
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    Citation - WoS: 3
    Citation - Scopus: 4
    Investigation of Burned Areas With Multiplatform Remote Sensing Data on the Rhodes 2023 Forest Fires
    (Ain Shams University, 2024) Bilgehan, Makineci, H.
    Remote sensing (RS) data is an essential tool to quickly detect the effects on the environment of significant forest fires that occur every year. The motivation of this research was to detect the burned areas with RS data quickly after the Rhodes 2023 Forest Fire. For this purpose, optical sensing systems and microwave sensing systems were used. In addition, the Sentinel-5P dataset was preferred to determine the difference due to harmful gases in the atmosphere and to link it with forest fires. Sentinel-2A and Sentinel-2B data enable change detection by creating the Enhanced Vegetation Index (EVI), Normalized Burn Ratio (NBR), and Normalized Difference Water Index (NDWI). As a result, it was determined that approximately 18,900 Ha of forest area was burned or bared. According to the CORINE 2018 burned forest area was approximately one-fifth of the total forest area. © 2024 THE AUTHOR