Towards an operational oil spill detection service in the mediterranean? The Norwegian experience: a pre-operational early warning detection service using ERS SAR data

Pedersen, J.P.; Seljelv, L. G.; Tony, Bauna; Strøm, Guro Dahle; Follum, Odd Arne; Andersen, J.; Wahl, T.; Sköelv, Å.

doi:10.1016/s1353-2561(96)00027-8

Cited by 8 publications

(5 citation statements)

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“…The introduction of wireless remote-sensing methods has significantly improved the ability to detect oil spills [66]. For example, in Norwegian waters, satellite-based oil pollution monitoring capabilities were demonstrated in the early 1990s using images from the ERS-1 satellite [67]. Synthetic Aperture Radar (SAR), which benefits from the development of RS technology, is essential for petroleum tracking [68].…”

Section: Sdg 13: Climate Actionmentioning

confidence: 99%

GIS-Based Progress Monitoring of SDGs towards Achieving Saudi Vision 2030

Qwaider,

Al-Ramadan,

Shafiullah

et al. 2023

Remote Sensing

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The United Nations (UN) Sustainable Development Goals (SDGs) serve as a blueprint for securing a sustainable, healthy, and just future for people and the environment. Through the implementation of various policies and initiatives for Vision 2030, the Kingdom of Saudi Arabia has significantly advanced its SDGs. Geographic information systems (GIS) and remote sensing (RS) technologies can play vital roles in tracking and assessing the progress of various government measures. This study investigated the potential of satellite-based RS and GIS technologies for planning, evaluating, and monitoring the status of SDGs. The significance of GIS in Saudi Vision 2030 was examined through a comprehensive literature review and expert interviews. In addition, we reviewed a case study to discuss the role and challenges of utilizing GIS big data for achieving SDGs in Saudi Arabia. Furthermore, we explored the use of large datasets from community scientists and satellite monitoring of SDGs. Overall, we aimed to provide insightful recommendations regarding the utilization of GIS in the effective monitoring of the progress of the SDGs in achieving Saudi Vision 2030. This can aid decision-makers and country leaders in developing assessment frameworks.

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Section: Sdg 13: Climate Actionmentioning

confidence: 99%

GIS-Based Progress Monitoring of SDGs towards Achieving Saudi Vision 2030

Qwaider,

Al-Ramadan,

Shafiullah

et al. 2023

Remote Sensing

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“…The development of new tools and services that consider social and physical floodrelated aspects to minimize risks and related negative consequences is needed [36,37]. In the field of disasters, map services have evolved, enhancing their capabilities since the 1980s and 1990s [38], being closely associated with technological capabilities including new techniques, computation, and software improvement. Some services provide on-demand geospatial information for different purposes [39].…”

Section: Introductionmentioning

confidence: 99%

Integrated Flood Impact and Vulnerability Assessment Using a Multi-Sensor Earth Observation Mission with the Perspective of an Operational Service in Lombardy, Italy

Righini,

Gatti,

Taramelli

et al. 2024

Land

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The frequency and the accumulation of medium–small flood events can cause severe impacts. In a climate change context, real-time monitoring and a fast risk assessment are needed to support the post-disaster phases. The present work presents a novel methodology that leverages the potential of earth observation data to produce a proof-of-concept for flood vulnerability assessment, serving as the basis for a Map Operational Service for the Lombardy region. The proof-of-concept is related to both flood hazard estimation and vulnerability assessment, considering the evaluation of the potentialities of the synthetic aperture radar data when used to feed a downstream service. Using the city of Pavia (Italy), which was affected by a flood event in November 2019, as a case study, we present an integrated flood impact approach that includes a combination of social and physical parameters. The results contribute to a processing chain designed as a pre-operational service where each data analytic retrieves thematic products to support the exposure and damage estimates based on earth observation-derived hazard products for emergency and recovery responses. Three different satellites covered more than 40 h of the flood’s evolution, supporting the great potential of the multi-sensor approach. Therefore, different sensor configurations in terms of spectral bands (X and C bands) and resolutions (from 10 to 1 m) provide a near real-time view of the event. Comparing the results obtained through the three hazard scenarios, a final social and physical Integrated Impact Index is obtained. The added value information leads to the determination of hotspots with which to prioritize effective interventions during emergency and recovery phases, crucial for capturing inherent conditions that allow communities to absorb impacts and cope with a damaging flood event.

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“…In most of the cases, even the trained operator cannot differentiate oil spill from look-alikes, for example, it has been carried out manually at TSS by assigning attributes such as low, medium, and high value to various oil slicks based on its existence with attributes. Once it is characterized as oil spill, this information could be further analyzed through aircraft surveillance system used by Norwegian Pollution Control Authority (NPCA) [9,10]. Thus, it is very difficult to design an automatic oil spill detection system.…”

Section: Introductionmentioning

confidence: 99%

Computational Techniques of Oil Spill Detection in Synthetic Aperture Radar Data: Review Cases

Vijayakumar¹

2023

Recent Oil Spill Challenges That Require More Attention

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In this chapter, a major role of environmental assessment is an oil spill identifies or detected from the coastal region surfaces or marine surroundings. Normally, the oil spills on the coastal regions impact their characteristics of environmental activities. However, these activities are monitoring through several radar satellites and sensor. For those achievable activities detecting or identifying, many researchers developed several approaches. Particularly, this chapter discusses about the detection of oil spill current operational effects on coastal region surfaces. In addition, the current research operations of oil spill characterizations and quality of its impacts, effects of current environmental bio-systems, their control measurement strategies, and its surveillance operations are discussed. Finally, the oil spill detection is done through the SAR image region classification based on its feature extraction. This could be monitored from the image dark region selection through remote sensing techniques.

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Towards an operational oil spill detection service in the mediterranean? The Norwegian experience: a pre-operational early warning detection service using ERS SAR data

Cited by 8 publications

References 1 publication

GIS-Based Progress Monitoring of SDGs towards Achieving Saudi Vision 2030

GIS-Based Progress Monitoring of SDGs towards Achieving Saudi Vision 2030

Integrated Flood Impact and Vulnerability Assessment Using a Multi-Sensor Earth Observation Mission with the Perspective of an Operational Service in Lombardy, Italy

Computational Techniques of Oil Spill Detection in Synthetic Aperture Radar Data: Review Cases

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