{"id":4898,"date":"2022-11-23T17:14:31","date_gmt":"2022-11-23T14:14:31","guid":{"rendered":"http:\/\/journal.phaselis.org\/?p=4898"},"modified":"2023-01-04T11:15:16","modified_gmt":"2023-01-04T08:15:16","slug":"pha-0158","status":"publish","type":"post","link":"http:\/\/journal.phaselis.org\/en\/uncategorized\/pha-0158","title":{"rendered":"Phaselis ve \u00c7evresinin \u00c7ok Zamanl\u0131 Uydu G\u00f6r\u00fcnt\u00fcleri ile Mek\u00e2nsal ve Zamansal Olarak De\u011ferlendirilmesi"},"content":{"rendered":"

Phaselis and Its Surroundings Using Multi Temporal Satellite Imageries: A Spatial and Temporal Evaluation<\/span><\/strong><\/em><\/p>\n

Furkan GEN\u0130\u015eY\u00dcREK<\/strong>
\n\"\"\u00a0<\/sub>https:\/\/orcid.org\/0000-0002-8098-1763<\/p>\n

\u015eimal ERTEK<\/strong>
\n\"\"\u00a0<\/sub>https:\/\/orcid.org\/0000-0001-7555-8883<\/p>\n

Mustafa ERT\u00dcRK<\/strong>
\n\"\"\u00a0<\/sub>https:\/\/orcid.org\/0000-0001-7172-7133<\/p>\n

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PHASELIS<\/em> VIII (2022) 207-222
\n<\/strong>DOI<\/strong>: 10.5281\/zenodo.7351470
\nReceived Date<\/strong>: 09.06.2022 | Acceptance Date<\/strong>: 14.11.2022
\nOnline Publication Date<\/strong>: 23.11.2022<\/p>\n

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\u00d6z: <\/strong>Bu \u00e7al\u0131\u015fman\u0131n amac\u0131 Phaselis ve \u00e7evresinin 1984, 2002 ve 2021 zaman periyotlar\u0131nda \u00e7al\u0131\u015fma alan\u0131 i\u00e7erisinde nemlilik, bitki \u00f6rt\u00fcs\u00fc ve arazi y\u00fczey s\u0131cakl\u0131\u011f\u0131 \u00fczerindeki etkilerin zamansal ve mek\u00e2nsal olarak Co\u011frafi Bilgi Sistemleri (CBS) ve Uzaktan Alg\u0131lama (UA) tekniklerinin kullan\u0131larak de\u011ferlendirilmesidir. \u00c7al\u0131\u015fmada Landsat 5 TM-7 ETM+ ve Landsat 8 OLI-TIRS uydu g\u00f6r\u00fcnt\u00fcleri kullan\u0131lm\u0131\u015f ve \u00fc\u00e7 farkl\u0131 analiz ger\u00e7ekle\u015ftirilmi\u015ftir. Analizlerin ilk a\u015famas\u0131nda \u00e7al\u0131\u015fma s\u0131n\u0131rlar\u0131na ait olan Arazi Y\u00fczey S\u0131cakl\u0131k (AYS) de\u011ferleri, uydu g\u00f6r\u00fcnt\u00fclerinin Termal K\u0131z\u0131l\u00f6tesi (TIR) bantlar\u0131ndan g\u00f6r\u00fcnt\u00fc i\u015fleme teknikleri kullan\u0131larak elde edilmi\u015ftir. \u0130kinci a\u015famada ise \u00e7al\u0131\u015fma alan\u0131na ait arazi y\u00fczey nemlilik de\u011ferlerini tespit edebilmek i\u00e7in uydu g\u00f6r\u00fcnt\u00fclerinin K\u0131sa Dalga K\u0131z\u0131l \u00d6tesi (SWIR) ve Yak\u0131n K\u0131z\u0131l \u00d6tesi (NIR) bantlar\u0131ndan Normalize edilmi\u015f Nem Fark \u0130ndeksi (NFNI) y\u00f6ntemi kullan\u0131lm\u0131\u015ft\u0131r. Son a\u015famada sahadaki ye\u015fil bitki da\u011f\u0131l\u0131mlar\u0131, uydu g\u00f6r\u00fcnt\u00fclerinin K\u0131rm\u0131z\u0131 (RED) ve NIR bantlar\u0131ndan Topra\u011fa Ayarl\u0131 Bitki \u0130ndeksi (SAVI) y\u00f6ntemi kullan\u0131larak tespit edilmi\u015ftir. Elde edilen arazi y\u00fczey s\u0131cakl\u0131\u011f\u0131, y\u00fczey nemlilik de\u011ferleri ve bitki \u00f6rt\u00fcs\u00fc aras\u0131ndaki ili\u015fki, istatistiksel olarak Getis-Ord Gi* (S\u0131cak Nokta Analizi) y\u00f6ntemi arac\u0131l\u0131\u011f\u0131yla test edilmi\u015f, mek\u00e2nsal ve zamansal olarak Phaselis ve \u00e7evresindeki bitki tahribat\u0131n\u0131n artt\u0131\u011f\u0131, arazi y\u00fczey s\u0131cakl\u0131\u011f\u0131n\u0131n y\u00fckseldi\u011fi, bitki alanlar\u0131n\u0131n daralmas\u0131 sonucu y\u00fczey nem de\u011fi\u015fiminde art\u0131\u015f\u0131n meydana geldi\u011fi belirlenmi\u015ftir.<\/p>\n

Anahtar s\u00f6zc\u00fckler: <\/strong>Phaselis, Arazi Y\u00fczey S\u0131cakl\u0131\u011f\u0131, Topra\u011fa Ayarl\u0131 Bitki \u0130ndeksi, Arazi Y\u00fczey Nemlili\u011fi<\/p>\n

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Abstract: <\/strong>The aim of this study is to evaluate the effects on humidity, vegetation and land surface temperature in the study area of Phaselis and its surroundings with the time periods of 1984, 2002 and 2021 by using Geographic Information Systems (GIS) and Remote Sensing (UA) techniques in a temporal and spatial manner. In the study, Landsat 5 TM-7 ETM+ and Landsat 8 OLI-TIRS satellite images were obtained and three different analyzes were performed. In the first stage of the analyzes, Land Surface Temperature (AYS) values of the study area were obtained by using image processing techniques from the Thermal Infrared (TIR) bands of satellite images. In the second stage, the Normalized Difference Moisture Index (NDMI) method from the Short Wave Infra-Red (SWIR) and Near Infrared (NIR) bands of satellite images was used to determine the land surface humidity values of the study area. In the final stage, green vegetation distribution in the field were determined by using the Soil Adjusted Vegetation Index (SAVI) method from the Red (RED) and NIR bands of satellite images. The relationship among the obtained land surface temperature, surface moisture values and vegetation were statistically tested using the Getis-Ord Gi* (Hot Point Analysis) method, and it was determined that the plant destruction in and around the ancient city of Phaselis increased spatially and temporally, the land surface temperature rose in and around the ancient city, and the increase in surface moisture change occurred as a result of the contraction of the inner harbor and plant areas.<\/p>\n

Keywords: <\/strong>Phaselis, Land Surface Temperature, Soil Adjusted Vegetation Index, Land Surface Moisture<\/p>\n

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