Remote sensing applicability in geomorphological investigations of beaches

Marin Mićunović, S. Faivre
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Abstract

Beaches are coastal forms consisting of unconsolidated material of varying sizes. Since they are formed on the seashore, processes from both the land and the sea, combined with anthropogenic influences, affect their morphological changes. Beaches have an important socio-economic significance for tourism, so it is necessary to take care of their stability. Beach monitoring has proven to be one of the most appropriate methods for studying their morphological changes. It is usually carried out with the help of remote sensing techniques, which are increasingly used nowadays and may provide a huge database of relatively high-quality images. If the UAV images are connected with a GNSS data, sub-centimetre precision can be obtained. This paper revealed the accuracy of remote sensing methods and their application in the study of beach evolution on the island of Hvar in Croatia. Measurements were carried out at 20 sites over a 10-year period (2011–2021) using Google Earth Pro, the Croatian State Geodetic Administration geoportal and fieldwork (UAV and GNSS receiver). Since the models generated by photogrammetric techniques from the UAV are the most precise, they were used as reference values, so the measurements from different remote sensing data sources were compared with them. By comparing the measurements from all data sources, a strong correlation was calculated (r2 = 0.98). It was found that the average RMSE for beach area was 7.2% and length was 2.5%, a relatively accurate measurement that can be used for beach surveys when the calculated error is taken into account (Mićunović et al., 2021). A C T A U N I V E R S I T A T I S L O D Z I E N S I S Folia Geographica Physica, Numer specjalny/Special Issue 2022: 31–32 https://doi.org/10.18778/1427-9711.S.2022.10
遥感在滩涂地貌调查中的适用性
海滩是由不同大小的未固结材料组成的海岸形态。由于它们是在海边形成的,陆地和海洋的过程,加上人为的影响,影响了它们的形态变化。海滩对旅游业具有重要的社会经济意义,因此必须注意其稳定性。海滩监测已被证明是研究其形态变化的最合适方法之一。它通常是在遥感技术的帮助下进行的,这种技术现在越来越多地使用,可以提供一个巨大的相对高质量图像数据库。如果将无人机图像与GNSS数据连接,则可以获得亚厘米精度。本文揭示了遥感方法的精度及其在克罗地亚赫瓦尔岛海滩演变研究中的应用。在10年期间(2011-2021年),使用Google Earth Pro、克罗地亚国家大地测量局地理门户和实地调查(无人机和GNSS接收器)在20个站点进行了测量。由于无人机摄影测量技术生成的模型精度最高,因此将其作为参考值,并与不同遥感数据源的测量值进行比较。通过比较所有数据源的测量值,计算出强相关性(r2 = 0.98)。研究发现,海滩面积的平均RMSE为7.2%,长度为2.5%,在考虑计算误差的情况下,这是一个相对准确的测量方法,可以用于海滩调查(Mićunović et al., 2021)。[A] [C] [A] [A] [A] [A] [A] [C] [A] [C] [A] [C] [A] [C] [A] [C] [A] [C] [A] [C] [A] [C] [A] [D] [j] [j] .地理物理学报,编号/特刊2022:31-32]https://doi.org/10.18778/1427-9711.S.2022.10
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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