Abstract The 2017–2027 National Academies' Decadal Survey, Thriving on Our Changing
Planet, recommended Surface Biology and Geology (SBG) as a “Designated Targeted …

An unmanned aerial vehicle (UAV), popularly known as a drone, is an aircraft without a
human pilot aboard. Recent developments in sensor technology and navigation systems …

Remote sensing technologies and machine learning (ML) algorithms play an increasingly
important role in accurate detection and monitoring of oil spill slicks, assisting scientists in …

The vast and persistent Deepwater Horizon (DWH) spill challenged response capabilities,
which required accurate, quantitative oil assessment at synoptic and operational scales …

When wind speeds are 2–10 ms− 1, reflective contrasts in the ocean surface make oil slicks
visible to synthetic aperture radar (SAR) under all sky conditions. Neural network analysis of …

Despite the importance of remote detection of marine debris, nearly all published studies are
focused on either controlled experiments, or Sentinel-2 data with mixed band resolutions …

Detailed airborne, surface, and subsurface chemical measurements, primarily obtained in
May and June 2010, are used to quantify initial hydrocarbon compositions along different …

This paper studies the oil spill, which occurred in the Norilsk and Taimyr region of Russia
due to the collapse of the fuel tank at the power station on May 29, 2020. We monitored the …

Abstract Satellite Synthetic Aperture Radar (SAR) is an operational tool for monitoring and
assessment of oil spills. Satellite SAR has primarily been used to detect the …

We analyze the fully-polarimetric Uninhabited Aerial Vehicle Synthetic Aperture Radar
(UAVSAR) data acquired on June 23, 2010, from two adjacent, overlapping flight tracks that …