AUTOMATIC EXTRACTION OF SURFACE DYNAMICS USING GOOGLE EARTH ENGINE FOR UNDERSTANDING DROUGHT PHENOMENON

A. Polat, O. Akcay
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Abstract

Abstract. Atmospheric drought due to meteorological events occurring out of seasonal norms, and consequent droughts in agriculture and wetlands cause great damage to the ecological balance. The initial effects of this situation appear on a local scale, while the aftereffects, which last for years, appear on a global scale. Monitoring and detecting drought with remote sensing technologies can contribute to the management of water resources and forest areas and enable many measures to be taken to reduce the effects of drought. Within the scope of this study, a system that automatically performs the extraction of different drought parameters depending on years has been developed. Işıklı Lake was selected as the study area and the change of water areas over the years has been extracted from satellite images. With the system developed on the Google Earth Engine platform, different parameters were analyzed over a 13-year period and their consistency was tested. As a result, it is seen that the water areas in the lake decreased by 30% between 2010 and 2022. Likewise, the systematic decrease in the parameters, especially in 2015 and afterward, indicates the drought in the region. With the proposed automatic system, it is thought that early precautions can be taken for drought scenarios that may occur in larger-scale regions.
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利用googleearth引擎自动提取地表动力学以了解干旱现象
摘要由于气象事件超出季节标准而导致的大气干旱,以及随之而来的农业和湿地干旱,对生态平衡造成了巨大破坏。这种情况的最初影响出现在局部范围内,而持续数年的后遗症出现在全球范围内。利用遥感技术监测和探测干旱有助于水资源和森林地区的管理,并使人们能够采取许多措施来减少干旱的影响。在这项研究的范围内,已经开发了一个根据年份自动提取不同干旱参数的系统。Işıklı湖被选为研究区域,多年来水域的变化已从卫星图像中提取。该系统在谷歌地球引擎平台上开发,在13年的时间里分析了不同的参数,并测试了它们的一致性。因此,可以看出,在2010年至2022年间,该湖的水域面积减少了30%。同样,参数的系统性下降,尤其是在2015年及之后,表明该地区发生了干旱。有了拟议的自动系统,人们认为可以对可能发生在更大规模地区的干旱情况采取早期预防措施。
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CiteScore
1.70
自引率
0.00%
发文量
949
审稿时长
16 weeks
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