Evaluation on 2002-2021 CHL-A Concentrations in the Sea of Marmara with GEE Enhancement of Satellite Data

Osman İsa Çelik, Selin Çeli̇k, Cem Gazi̇oğlu
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引用次数: 3

Abstract

Remote sensing data, especially satellite observations make available large databases related to marine biosphere. This tremendous amount of the data causes a difficulty to acquisition, processing and evaluation processes. Google Earth Engine (GEE) platform make possible to overcome this difficulty by its state of art structure. Thus, GEE platform was included to study to process and evaluate the chlorophyll-a data for the sea of Marmara. The Sea of Marmara was considered in 2 main parts as North and South Marmara. These parts also divided into 6 sub-regions and analyzed as 12 different regions in total. MODIS (Moderate Resolution Imaging Spectroradiometer)-Aqua data were acquired between the years 2003-2021 with the GEE platform for all examined sub-regions and make them available for analysis. Approximately 19 years of arranged chl-a concentration data were visualized and evaluated by grouping them according to sub-regions, months and years. As expected, the highest concentration of chl-a was observed in the Sea of Marmara in square KM6, which includes the Gulf of Izmit and has limited regeneration The lowest concentration values throughout the years were found in the areal average values of the KM4 square under the influence of the jet stream formed by the upper water from the Black Sea. When the monthly data are examined, it can be said that the primary production in general takes place intensively in the whole of the Marmara Sea in the spring season. In the context of this study, the accuracy of the division of the Sea of Marmara in two main axes as North and South is clearly seen in the analyzes within the time series. We evaluate that the similarity of chl-a concentrations in the Marmara Sea to the period before 2007 and 2020 requires a special attention as evidence of a repetitive process rather than an ecological coincidence.
利用卫星数据的GEE增强评价2002-2021年马尔马拉海CHL-A浓度
遥感数据,特别是卫星观测提供了与海洋生物圈有关的大型数据库。如此庞大的数据量给获取、处理和评估过程带来了困难。谷歌地球引擎(GEE)平台以其先进的结构使克服这一困难成为可能。因此,利用GEE平台对马尔马拉海叶绿素-a数据进行处理和评价研究。马尔马拉海分为北马尔马拉海和南马尔马拉海两个主要部分。这些部分又划分为6个子区域,共分析为12个不同的区域。MODIS(中分辨率成像光谱仪)-Aqua数据是在2003-2021年期间通过GEE平台为所有检查的次区域获取的,并将其用于分析。对近19年整理的chl-a浓度数据进行了可视化处理,并按分区、月份和年份进行了分组。如预期的那样,chl-a浓度在马尔马拉海的KM6广场最高,该广场包括伊兹米特湾,再生有限。在黑海上层水形成的急流影响下,KM4广场的面积平均值历年浓度最低。当检查每月的数据时,可以说初级生产一般集中在整个马尔马拉海的春季。在本研究的背景下,在时间序列内的分析中可以清楚地看到马尔马拉海在南北两个主轴上划分的准确性。我们评估了马尔马拉海chl-a浓度与2007年和2020年之前时期的相似性,需要特别注意,因为这是一个重复过程的证据,而不是生态巧合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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