GEODYNAMICS

IF 1 Q3 GEOCHEMISTRY & GEOPHYSICS
Ľ. Kseňak, K. Bartoš, K. Pukanská, K. Kyšeľa
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引用次数: 0

Abstract

The aim of this research is the comparison and subsequent evaluation of the suitability of using SAR (Synthetic Aperture Radar) and multispectral (MSI) satellite data of the Copernicus program for mapping and accurate identification of surface water bodies. The paper considers sudden changes caused by significant climatological-meteorological influences in the country. The surface guidance extraction methodology includes the standard preprocessing of SAR images and concluding the determination of threshold values in binary mask generation. For MSI images, water masks are generated through automatic algorithmic processing on the Google Earth Engine cloud platform. During SAR image processing, it has been found that the VV polarization configuration type (vertical-vertical) is the most suitable. The Lee and Lee Sigma filters are recommended for eliminating radar noise. The chosen window size for filtering depends on the specific object and its spatial extent. The extraction of water surfaces from the MSI image is conducted using the Normalized Difference Water Index (NDWI), Modified Normalized Difference Water Index (MNDWI), a pair of Automated Water Extraction Index (AWEI) indices, and Water Ratio Index (WRI). Results are evaluated both graphically and numerically, using quantitative accuracy indicators to refine them. Automatic extraction of water surfaces from MSI images in the GEE platform environment is a fast, efficient, and relatively accurate tool for determining the true extent of groundwater. In conclusion, this research can provide more reliable estimates of hydrological changes and interannual variations in water bodies in the country. When combined with multitemporal monitoring, these results can be an effective tool for permanent monitoring of floods and droughts.The aim of this research is the comparison and subsequent evaluation of the suitability of using SAR (Synthetic Aperture Radar) and multispectral (MSI) satellite data of the Copernicus program for mapping and accurate identification of surface water bodies. The paper considers sudden changes caused by significant climatological-meteorological influences in the country. The surface guidance extraction methodology includes the standard preprocessing of SAR images and concluding the determination of threshold values in binary mask generation. For MSI images, water masks are generated through automatic algorithmic processing on the Google Earth Engine cloud platform. During SAR image processing, it has been found that the VV polarization configuration type (vertical-vertical) is the most suitable. The Lee and Lee Sigma filters are recommended for eliminating radar noise. The chosen window size for filtering depends on the specific object and its spatial extent. The extraction of water surfaces from the MSI image is conducted using the Normalized Difference Water Index (NDWI), Modified Normalized Difference Water Index (MNDWI), a pair of Automated Water Extraction Index (AWEI) indices, and Water Ratio Index (WRI). Results are evaluated both graphically and numerically, using quantitative accuracy indicators to refine them. Automatic extraction of water surfaces from MSI images in the GEE platform environment is a fast, efficient, and relatively accurate tool for determining the true extent of groundwater. In conclusion, this research can provide more reliable estimates of hydrological changes and interannual variations in water bodies in the country. When combined with multitemporal monitoring, these results can be an effective tool for permanent monitoring of floods and droughts.
地球动力学
本研究的目的是比较并随后评估使用哥白尼计划的合成孔径雷达(SAR)和多光谱卫星(MSI)数据绘制和准确识别地表水体的适用性。本文考虑了该国重大气候气象影响引起的突变。表面引导提取方法包括SAR图像的标准预处理和二值掩模生成中阈值的确定。对于MSI图像,水面具是通过谷歌地球引擎云平台上的自动算法处理生成的。在SAR图像处理过程中,已经发现VV偏振配置类型(垂直-垂直)是最合适的。建议使用Lee和Lee Sigma滤波器来消除雷达噪声。选择的过滤窗口大小取决于特定对象及其空间范围。使用归一化差异水指数(NDWI)、修正归一化差异水指标(MNDWI)、一对自动水提取指数(AWEI)和水比率指数(WRI)从MSI图像中提取水面。对结果进行了图形和数字评估,并使用定量准确性指标对其进行了改进。在GEE平台环境中,从MSI图像中自动提取水面是一种快速、高效且相对准确的工具,用于确定地下水的真实范围。总之,这项研究可以为该国的水文变化和水体年际变化提供更可靠的估计。当与多时相监测相结合时,这些结果可以成为永久监测洪水和干旱的有效工具。本研究的目的是比较并随后评估使用哥白尼计划的合成孔径雷达(SAR)和多光谱卫星(MSI)数据绘制和准确识别地表水体的适用性。本文考虑了该国重大气候气象影响引起的突变。表面引导提取方法包括SAR图像的标准预处理和二值掩模生成中阈值的确定。对于MSI图像,水面具是通过谷歌地球引擎云平台上的自动算法处理生成的。在SAR图像处理过程中,已经发现VV偏振配置类型(垂直-垂直)是最合适的。建议使用Lee和Lee Sigma滤波器来消除雷达噪声。选择的过滤窗口大小取决于特定对象及其空间范围。使用归一化差异水指数(NDWI)、修正归一化差异水指标(MNDWI)、一对自动水提取指数(AWEI)和水比率指数(WRI)从MSI图像中提取水面。对结果进行了图形和数字评估,并使用定量准确性指标对其进行了改进。在GEE平台环境中,从MSI图像中自动提取水面是一种快速、高效且相对准确的工具,用于确定地下水的真实范围。总之,这项研究可以为该国的水文变化和水体年际变化提供更可靠的估计。当与多时相监测相结合时,这些结果可以成为永久监测洪水和干旱的有效工具。
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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来源期刊
Geodynamics
Geodynamics GEOCHEMISTRY & GEOPHYSICS-
自引率
33.30%
发文量
11
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