2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics) 2019
DOI: 10.1109/agro-geoinformatics.2019.8820678
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Determination of Land Cover Change in Datça and Bozburun Peninsula in Turkey (1997-2018)

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Cited by 4 publications
(6 citation statements)
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“…Studies using satellite images to monitor LULC changes are varied in their aims and scopes like forested areas [40], water supply [41] and plant cover [42]. Different types of approaches are used to determine the changes in LULC and to identify the spatial differences in LULC patterns considering both temporal socio-economic and surface characteristics data [17,30,43].…”
Section: Lulc Retrievalmentioning
confidence: 99%
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“…Studies using satellite images to monitor LULC changes are varied in their aims and scopes like forested areas [40], water supply [41] and plant cover [42]. Different types of approaches are used to determine the changes in LULC and to identify the spatial differences in LULC patterns considering both temporal socio-economic and surface characteristics data [17,30,43].…”
Section: Lulc Retrievalmentioning
confidence: 99%
“…Remote-sensing techniques were used in the present study for the assessment of the spatial and temporal LULC changes between 1995 and 2020 in Fethiye-Göcek SEPA as in other studies [30,31,[51][52][53]. For this purpose, satellite images of Landsat-5 Thematic Mapper (TM) for 6 July 1995; 28 July 2003 and Landsat-8 Operational Land Imager (OLI)/Thermal Infrared Sensor (TIRS) for 19 July 2020.…”
Section: Lulc Retrievalmentioning
confidence: 99%
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“…eCognition Developer software, which is the most used object-based image analysis software, offers a similar approach to pixelbased approach with its nearest neighbor classification method and gives the same meaningful results in a more practical way (Hofmann, 2001;Kalkan & Maktav 2010). It is seen in the literature that pixelbased classification algorithms are frequently used to determine the current state of land cover (Efe, Soykan, & Cürebal, 2012;İkiel, Ustaoğlu, & Kılıç, 2013;Dutucu & İkiel 2016;Alevkayalı & Tağıl 2018;Sekertekin, Marangoz, & Akcin, 2017;İkiel, Ustaoğlu, & Dutucu, 2019;Mishra, Rai, & Rai, 2020). On the other hand, object based classification, is a classification algorithm that is used extensively after the widespread use of very high resolution satellite images, and its use in medium spatial resolution data such as Landsat has also become widespread (Sertel & Algancı, 2016;Algancı, 2018;Aahlaad, Mozumder, & Tripathi, 2021;Sang, Guo, & Wu, 2021).…”
Section: Object-based Classificationmentioning
confidence: 99%