Results 121 to 130 of about 4,776 (292)
Neural Network for Oil Spill Detection using TerraSAR-X Data
The increased amount of available Synthetic Aperture Radar (SAR) images involves a growing workload on the operators at analysis centers. In addition, even if the operators go through extensive training to learn manual oil spill detection, they can ...
Del Frate , Fabio +16 more
core +1 more source
Complex Firms, Controversial Outcomes: Global Evidence on ESG Failures and Remedies
ABSTRACT We examine whether business complexity increases firms' exposure to negative environmental, social, and governance (ESG) outcomes, specifically ESG controversies, using a global panel of firms from 37 countries over the period 2002–2021.
Abongeh A. Tunyi +3 more
wiley +1 more source
ABSTRACT Although ESG controversies are on the rise, research investigating them yields contradictory findings. The paper provides resolutions to the debate through investigating (a) how ESG controversies influence firms' short‐term and long‐term financial performance; (b) how firms navigate ESG controversies' effect; and (c) how ESG controversies ...
Amalesh Sharma +3 more
wiley +1 more source
SMART DETECTION CONCEPT AN INTEGRATED SOLUTION TO OPTIMIZED ACTION IN OFFSHORE EMERGENCIES
Reducing the number of offshore incidents that release oil or hazardous substances into the environment and optimizing the timeframe between detection and contingency during those incidents are the biggest challenges for the oil and gas industry ...
Beatriz Mattos, Carlos Leandro
core +1 more source
ABSTRACT Environmental governance in Nigeria's oil and gas sector remains central to global climate justice debates, yet persistent accountability failures continue to undermine meaningful environmental and social outcomes. Despite extensive regulatory frameworks, accountability in resource‐dependent contexts is frequently reduced to formal reporting ...
Hammed Afolabi +2 more
wiley +1 more source
Synthetic aperture radar (SAR) has been widely used for oil-spill monitoring because of its all-weather and all-day imaging capability. However, simple concatenation of multiple oil-spill features extracted from SAR images, such as polarization ...
Jiaxing Tong +3 more
doaj +1 more source
ABSTRACT Industrial clusters are central to the circular economy transition, yet how they develop into eco‐clusters and the paradoxical tensions this transformation fuels remain underexplored. Drawing on 48 in‐depth interviews and secondary data from a Turkish textile‐recycling cluster, we develop an empirically grounded model of eco‐cluster transition
Tulin Dzhengiz +2 more
wiley +1 more source
Oil spill accidents pose a grave threat to marine ecosystems, human economy, and public health. Consequently, expeditious and efficacious oil spill detection technology is imperative for the pollution mitigation and the health preservation in the marine ...
Jin Xu +8 more
doaj +1 more source
ABSTRACT We are interested in investigating whether firms use political donations as a license to neglect environmental sustainability. We further deepen the examination by exploring the role of executive contracting. Drawing on a wide range of data between 2002 and 2021 and a global sample, our findings confirm that firms use political contributions ...
Habiba Al‐Shaer +3 more
wiley +1 more source
Robust Satellite Techniques (RST) for oil spill detection and monitoring
Satellite remote sensing is an useful tool supporting the management of marine technological hazards, especially for what concern oil discharge. Nowadays, the most reliable satellite techniques are based on SAR (Synthetic Aperture Radar) active sensors ...
T. LACAVA +7 more
core +1 more source

