UAV Application for Coastal Area Monitoring: A Case Study of Sant'Alessio Siculo, Sicily

Muzirafuti, Anselme; Randazzo, Giovanni; Lanza, Stefania

doi:10.1109/metrosea55331.2022.9950841

Cited by 4 publications

(4 citation statements)

References 9 publications

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“…Ocean color satellite data can be susceptible to various factors, such as cloud cover and rain, affecting their quality and accuracy. It is essential to adopt appropriate algorithms to convert the signals obtained from remote sensing into directly applicable data, which is also revealed in studies regarding, for example, CHL mapping with Sentinel 2 or 3 and bathymetry mapping with satellite images [38,39]. For different types of coastal waters characterized by bathymetry and distance to the coast, corresponding suitable algorithms are needed [38,40].…”

Section: Discussionmentioning

confidence: 99%

Interannual Variations in the Summer Coastal Upwelling in the Northeastern South China Sea

Chen,

Tong,

et al. 2024

Remote Sensing

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This study scrutinizes interannual (2003–2023) variations in coastal upwelling along the Guangdong Province during summers (June–August) in the northeastern South China Sea (NESCS) by comprehensively applying the moderate-resolution imaging spectroradiometer (MODIS) remote sensing sea surface temperature (SST) and chlorophyll concentration (CHL) data and the model reanalysis product. The results show that SST and upwelling intensity in the sea area have significant (p < 0.05) rising trends in the last 21 years. The CHL shows an upward but insignificant trend, which is affected simultaneously by the rise in SST and the enhancement of upwelling. Further analysis reveals that the interannual variations in upwelling are robustly related to the wind fields’ variations in the coastal region. A clockwise/counter-clockwise anomaly in the wind field centered on the NESCS facilitates alongshore/onshore winds near the Guangdong coast, which can strengthen/weaken coastal upwelling. Based on the correlation between wind field variations and large-scale climate factors, long-term variations in the upwelling intensity can be primarily predicted by the Oceanic Niño Index.

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Section: Discussionmentioning

confidence: 99%

Interannual Variations in the Summer Coastal Upwelling in the Northeastern South China Sea

Chen,

Tong,

et al. 2024

Remote Sensing

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“…Nowadays, coastal monitoring predominantly employs GPS or UAVs for data collection when surveying post nourishments changes, evidenced by numerous studies (Muzirafuti et al, 2022;Pinto et al, 2022;Tadićet al, 2022). However, these investigations are often limited to the period directly following nourishments and confined to nourished areas, excluding adjacent regions due to temporal and financial constraints.…”

Section: Comparison To Other Monitoring Effortsmentioning

confidence: 99%

Long-term shoreline changes at large spatial scales at the Baltic Sea: remote-sensing based assessment and potential drivers

et al. 2023

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In this study, we demonstrate how freely available satellite images can be used to understand large-scale coastline developments along the coast of Mecklenburg-Western Pomerania (MWP). By validating the resulting dataset with an independent Light Detection and Ranging (LIDAR) dataset, we achieved a high level of accuracy for the calculation of rates of change (ROC) with a root mean square error (RMSE) of up to 0.91 m, highlighting the reliability of Earth observation data for this purpose. The study assessed the coastal system’s natural evolution from 1984 to 1990, prior to significant human interventions, and examined the period from 1996 to 2022, which was characterized by regular sand nourishments amounting to approximately 16 million m³. The results reveal notable changes in the study area, with a significant decline in erosive trends and an increase in the number of stable and accreting transects. However, it is important to note that the regular sand nourishments may be masking the true ROC along the coastline. Furthermore, the future supply of sand raises concerns about the sustainability of coastal developments, particularly in the context of future sea level rise (SLR). The study provides valuable insights for coastal authorities and policymakers, informing decisions on sand resource allocation and highlighting the need for appropriate adaptation strategies to address future SLR and ensure long-term coastal resilience.

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“…Recently, remote sensing techniques have been used in many environmental studies [15][16][17][18][19] due to their capacity to provide multi-temporal information in hard-to-reach areas. Programs such as Landsat and Copernicus Sentinel provide satellite images, free of charge, with high temporal and spatial resolutions.…”

Section: Introductionmentioning

confidence: 99%

Remotely Sensed and Field Data for Geomorphological Analysis of Water Springs: A Case Study of Ain Maarrouf

Muzirafuti

2024

Geosciences

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Tabular Middle Atlas of Morocco holds the main water reservoir that serves many cities across Morocco. Dolomite and limestone are the most dominant geologic formations in this region in which water resources are contained. The recent studies conducted to evaluate the quality of this water suggest that it is very vulnerable to pollutants resulting from both anthropogenic and natural phenomenon. High and very high-resolution satellite imagery have been used in an attempt to gain a better understanding of this karstic system and suggest a strategy for its protection in order to reduce the impact of these phenomenon. Based on the surface reflectance of land cover benchmarks, the karstic system has been horizontally delineated, as well as regions with intense human activities. Using band combination in the portion of the infrared, shortwave infrared, and visible parts of the electromagnetic spectrum, we identified bare lands which have been interpreted as carbonate rocks, clay minerals, uncultivated fields, basalts rocks, and built-up areas. Other classes such as water and vegetation have been identified. Carbonate rocks have been identified as areas with a high rate of water infiltration through their fracture system. Using a Sobel operator filter, these fractures have been mapped and their results have revealed new and existing faults in two major fracture directions, NE-SW and NW-SE, where NE-SW is the preferable pathway for surface water infiltration towards the groundwater reservoir, while the NW-SE direction drains groundwater from the Cause to the basin of Saiss. Over time, the infiltration of surface water through fractures has contributed to a gradual erosion of the carbonate rocks, which in turn developed karst landforms. This karst system is vulnerable due to the flow of pollutants in areas with shallow sinkholes. Using GDEM imagery, we extracted karst depressions, and their analysis shows that they are distributed along the fracture system and many of them were located on curvilinear or linear axes along the NE-SW fracture direction. We found also dolines scattered in areas with a high intensity of fractures. This distribution has been validated by both on-the-ground measurements and very high-resolution satellite images, and depressions of different forms and shapes dominated by dolines, poljes, lapiez, and avens have been identified. We also found many water springs with a highly important water output, such as the Ain Maarrouf water spring. The aim of this study is to enhance the understanding of the hydrogeological system of TMA, to improve the existence of the fracture database in the Cause of Agourai, and to establish a new morpho-structural picture of the Ain Maarrouf water spring.

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UAV Application for Coastal Area Monitoring: A Case Study of Sant'Alessio Siculo, Sicily

Cited by 4 publications

References 9 publications

Interannual Variations in the Summer Coastal Upwelling in the Northeastern South China Sea

Interannual Variations in the Summer Coastal Upwelling in the Northeastern South China Sea

Long-term shoreline changes at large spatial scales at the Baltic Sea: remote-sensing based assessment and potential drivers

Remotely Sensed and Field Data for Geomorphological Analysis of Water Springs: A Case Study of Ain Maarrouf

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