scholarly journals Oil seeps detection and mapping by SAR imagery in the Adriatic Sea

2020 ◽  
Vol 61 (1) ◽  
pp. 13-26
Author(s):  
Andrei Yu. Ivanov ◽  
Mira Morović
Keyword(s):  
Remote Sensing ◽  
Oil And Gas ◽  
Adriatic Sea ◽  
Sea Surface ◽  
Public Attention ◽  
Sar Images ◽  
Oil And Gas Exploration ◽  
Sar Imagery ◽  
Remote Sensing Techniques ◽  
New Perspective

This study provides a new perspective on the hydrocarbon seeps in the Adriatic Sea, supporting both the environmental issues and eventual oil and gas exploration. Remote sensing techniques, particularly synthetic aperture radar (SAR) images are used to detect oil slicks on the sea surface. In such a way two groups of oil slicks have been detected in the Northern and Central Adriatic Sea on the SAR images acquired by the European Sentinel-1A and Sentinel-1B satellites in 2017-2018. Analysis of SAR images together with bathymetry, geological and geophysical data in geographic information system (GIS) have shown that these oil slicks, visible on the sea surface have natural origin, i.e. are seepage phenomena, associated to existing marine hydrocarbon systems. These oil slicks were concentrated over the shallow shelf, and repeatedly or episodically occur in the areas of interest, and are related to local oil-and-gas bearing sediments. Findings of the seeps and seep candidates that passed unnoticed from public attention indicate the effectiveness of the approach used. Finally, it is concluded that the frequent SAR imagery is an excellent tool for monitoring of seepage phenomena, and the results indicate that the use of remote sensing methods can be considered as a good approach to support oil and gas exploration in the Adriatic Basin.

Study on oil and gas exploration in sparse vegetation areas by hyperspectral remote sensing data

2012 ◽  
Vol 10 (s1) ◽  
pp. s11004-311006 ◽  
Author(s):  
Qianqian Li Qianqian Li ◽  
Xiaomei Chen Xiaomei Chen ◽  
Xing Liu Xing Liu ◽  
Bingjing Mao Bingjing Mao ◽  
Guoqiang Ni Guoqiang Ni
Keyword(s):  
Remote Sensing ◽  
Oil And Gas ◽  
Remote Sensing Data ◽  
Hyperspectral Remote Sensing ◽  
Oil And Gas Exploration ◽  
Sensing Data ◽  
Sparse Vegetation

scholarly journals Sea Ice Remote Sensing Using GNSS-R: A Review

2019 ◽  
Vol 11 (21) ◽  
pp. 2565 ◽  
Author(s):  
Qingyun Yan ◽  
Weimin Huang
Keyword(s):  
Remote Sensing ◽  
Sea Ice ◽  
Oil And Gas ◽  
Satellite System ◽  
Sea Ice Concentration ◽  
Sea Ice Thickness ◽  
Oil And Gas Exploration ◽  
Offshore Oil And Gas ◽  
Ice Detection ◽  
Global Navigation Satellite

Knowledge of sea ice is critical for offshore oil and gas exploration, global shipping industries, and climate change studies. During recent decades, Global Navigation Satellite System-Reflectometry (GNSS-R) has evolved as an efficient tool for sea ice remote sensing. In particular, thanks to the availability of the TechDemoSat-1 (TDS-1) data over high-latitude regions, remote sensing of sea ice based on spaceborne GNSS-R has been rapidly growing. The goal of this paper is to provide a review of the state-of-the-art methods for sea ice remote sensing offered by the GNSS-R technique. In this review, the fundamentals of these applications are described, and their performances are evaluated. Specifically, recent progress in sea ice sensing using TDS-1 data is highlighted including sea ice detection, sea ice concentration estimation, sea ice type classification, sea ice thickness retrieval, and sea ice altimetry. In addition, studies of sea ice sensing using airborne and ground-based data are also noted. Lastly, applications based on various platforms along with remaining challenges are summarized and possible future trends are explored. In this review, concepts, research methods, and experimental techniques of GNSS-R-based sea ice sensing are delivered, and this can benefit the scientific community by providing insights into this topic to further advance this field or transfer the relevant knowledge and practice to other studies.

scholarly journals Towards a Combined Use of Geophysics and Remote Sensing Techniques for the Characterization of a Singular Building: “El Torreón” (the Tower) at Ulaca Oppidum (Solosancho, Ávila, Spain)

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2934
Author(s):  
Miguel Ángel Maté-González ◽  
Cristina Sáez Blázquez ◽  
Pedro Carrasco García ◽  
Jesús Rodríguez-Hernández ◽  
Jesús Fernández Hernández ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Iron Age ◽  
Late Iron Age ◽  
Combined Use ◽  
Remote Sensing Techniques ◽  
New Perspective ◽  
Ground Penetrating ◽  
Large Building

This research focuses on the study of the ruins of a large building known as “El Torreón” (the Tower), belonging to the Ulaca oppidum (Solosancho, Province of Ávila, Spain). Different remote sensing and geophysical approaches have been used to fulfil this objective, providing a better understanding of the building’s functionality in this town, which belongs to the Late Iron Age (ca. 300–50 BCE). In this sense, the outer limits of the ruins have been identified using photogrammetry and convergent drone flights. An additional drone flight was conducted in the surrounding area to find additional data that could be used for more global interpretations. Magnetometry was used to analyze the underground bedrock structure and ground penetrating radar (GPR) was employed to evaluate the internal layout of the ruins. The combination of these digital methodologies (surface and underground) has provided a new perspective for the improved interpretation of “El Torreón” and its characteristics. Research of this type presents additional guidelines for better understanding of the role of this structure with regards to other buildings in the Ulaca oppidum. The results of these studies will additionally allow archaeologists to better plan future interventions while presenting new data that can be used for the interpretation of this archaeological complex on a larger scale.

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