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CHANGE DETECTION OF SEAFLOOR TOPOGRAPHY BY MODELING MULTITEMPORAL MULTIBEAM ECHOSOUNDER MEASUREMENTS.
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- International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2014, v. 40-7, p. 221, doi. 10.5194/isprsarchives-XL-7-221-2014
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SPATIO-TEMPORAL URBAN CHANGE ANALYSIS AND THE ECOLOGICAL THREATS CONCERNING THE THIRD BRIDGE IN ISTANBUL CITY.
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- International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2014, v. 40-7, p. 9, doi. 10.5194/isprsarchives-XL-7-9-2014
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FIRE WEATHER INDEX AND FOREST FIRE DANGER MAPPING: INSIGHTS FROM A CASE STUDY IN ANTALYA - MANAVGAT FOREST, TURKIYE.
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- International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2024, v. 48, n. 4/W9, p. 53, doi. 10.5194/isprs-archives-XLVIII-4-W9-2024-53-2024
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A COMPARATIVE STUDY OF SATELLITE IMAGE RESOLUTIONS FOR DETECTING PEST DAMAGE IN SUNFLOWER FIELDS.
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- International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2024, v. 48, n. 4/W9, p. 133, doi. 10.5194/isprs-archives-XLVIII-4-W9-2024-133-2024
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THE SPATIAL DISTRIBUTION OF SELECTED OPTICAL ACTIVE COMPONENTS IN THE GULF OF IZMIT USING BIVARIATE/MULTIVARIATE REGRESSION ANALYSIS.
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- International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2023, v. 48, n. M/1, p. 361, doi. 10.5194/isprs-archives-XLVIII-M-1-2023-361-2023
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Foreword of the Editors.
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- International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2023, v. 48, n. M/1, p. 1, doi. 10.5194/isprs-archives-XLVIII-M-1-2023-1-2023
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A COMPARISON BETWEEN CYCLE-GAN BASED FEATURE TRANSLATION AND OPTICAL-SAR VEGETATION INDICES.
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- International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2022, n. B3, p. 583, doi. 10.5194/isprs-archives-XLIII-B3-2022-583-2022
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- Article
HOW EFFICIENT CAN SENTINEL-2 DATA HELP SPATIAL MAPPING OF MUCILAGE EVENT IN THE MARMARA SEA?
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- International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2022, n. B3, p. 181, doi. 10.5194/isprs-archives-XLIII-B3-2022-181-2022
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COMPARISON OF SATELLITE IMAGE DENOISING TECHNIQUES IN SPATIAL AND FREQUENCY DOMAINS.
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- International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2022, n. B3, p. 1241, doi. 10.5194/isprs-archives-XLIII-B3-2022-1241-2022
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SPATIOTEMPORAL CHANGE ANALYSIS OF THE PROTECTED AREAS: A CASE STUDY – İĞNEADA FLOODPLAIN FORESTS.
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- International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2021, p. 735, doi. 10.5194/isprs-archives-XLIII-B3-2021-735-2021
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THE USE OF SENTINEL 1/2 VEGETATION INDEXES WITH GEE TIME SERIES DATA IN DETECTING LAND COVER CHANGES IN THE SINOP NUCLEAR POWER PLANT CONSTRUCTION SITE.
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- International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2021, p. 701, doi. 10.5194/isprs-archives-XLIII-B3-2021-701-2021
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THE USE OF SPECTRAL AND TEXTURAL FEATURES IN CROP TYPE MAPPING USING SENTINEL-2A IMAGES: A CASE STUDY, ÇUKUROVA REGION, TURKEY.
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- International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2021, p. 117, doi. 10.5194/isprs-archives-XLIII-B3-2021-117-2021
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FLOOD ANALYSIS WITH REMOTE SENSING DATA – A CASE STUDY: MARITSA RIVER, EDIRNE.
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- International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2019, v. XLII-3/W8, p. 497, doi. 10.5194/isprs-archives-XLII-3-W8-497-2019
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THE USE OF MULTI-TEMPORAL SENTINEL SATELLITES IN THE ANALYSIS OF LAND COVER/LAND USE CHANGES CAUSED BY THE NUCLEAR POWER PLANT CONSTRUCTION.
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- International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2019, v. XLII-3/W8, p. 491, doi. 10.5194/isprs-archives-XLII-3-W8-491-2019
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PRELIMINARY RESULTS OF EARTHQUAKE-INDUCED BUILDING DAMAGE DETECTION WITH OBJECT-BASED IMAGE CLASSIFICATION.
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- International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2016, v. 41, n. B7, p. 347, doi. 10.5194/isprsarchives-XLI-B7-347-2016
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SOIL SALINITY MAPPING USING MULTITEMPORAL LANDSAT DATA.
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- International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2016, v. 41, n. B7, p. 3, doi. 10.5194/isprsarchives-XLI-B7-3-2016
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BENCHMARK OF MACHINE LEARNING METHODS FOR CLASSIFICATION OF A SENTINEL-2 IMAGE.
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- International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2016, v. 41, n. B7, p. 335, doi. 10.5194/isprsarchives-XLI-B7-335-2016
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