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Rapid Oil Spill Detection & Impact Screening

In response to oil spill incidents, we first deploy the Farsight™ UAV System for rapid preliminary investigation and source identification. The AIMS Multi-sensor Aerial Survey System then executes large-scale, accurate mapping and data collection. The Swift4D platform automates the processing of this multi-source data to facilitate oil slick identification, trajectory modeling, and preliminary impact assessment.

In response to oil spill incidents on marine or inland waters, Feiyan Aerial Remote Sensing Technology Co., Ltd. delivers a rapid oil spill detection and impact screening solution. We first deploy the Y-1 UAV System for rapid preliminary investigation and source identification. The AIMS Multi-sensor Aerial Survey System then executes large-scale, accurate mapping and data collection. The Swift4D Platform automates the processing of this multi-source data to facilitate oil slick identification, trajectory modeling, and preliminary impact assessment, providing timely and precise technical support for emergency response decision-making.

Our Differentiated Solution Framework

Our solution is built around the Swift4D spatiotemporal big data platform, featuring an integrated “Rapid Screening – Precision Mapping – Intelligent Assessment” framework:

Y-1 UAV Rapid Reconnaissance: Deploying Y-1 series UAVs equipped with high-resolution optical and thermal infrared sensors to arrive at the incident site immediately, quickly identifying the source location, extent, and drift direction, providing navigation and pre-assessment for subsequent detailed mapping.

AIMS Multi-Sensor Aerial Survey: Utilizing fixed-wing aerial platforms equipped with the AIMS Multi-sensor System, integrating hyperspectral imagers, thermal infrared cameras, and LiDAR for large-scale, high-precision oil distribution mapping, capturing critical parameters including oil film thickness, spread area, and concentration gradients.

Swift4D Automated Intelligent Processing: Leveraging the Swift4D Platform automated processing engine to fuse multi-source remote sensing data, applying SwiftAI intelligent algorithms to automatically extract oil slick boundaries and distribution characteristics, while simulating oil spill trajectories integrated with hydrodynamic and meteorological data.

Impact Assessment & Decision Support: Automatically generating oil distribution maps, affected water area delineations, and sensitive ecosystem alerts to support emergency command centers in developing containment, recovery, and cleanup strategies.

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Application Scenarios & Client Value

Application Scenarios

Offshore Platform & Vessel Spill Response: Rapidly locate spill sources, assess spread extent and drift trajectories to guide containment operations.

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Pipeline & Storage Tank Leak Response: Monitor oil spread in terrestrial or nearshore waters, assess impacts on shorelines and sensitive ecological zones.

Environmental Enforcement & Liability Determination: Provide objective, traceable oil distribution data to support incident investigation and responsibility allocation.

Preliminary Ecological Impact Screening: Identify affected sensitive areas to guide ecological restoration and damage compensation assessments.

Client Value

Significantly Accelerates Response Time: Reduces traditional manual inspection from hours to minutes, capturing the critical window for containment.

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Precise Source & Extent Identification: Multi-sensor fusion ensures accuracy in oil slick boundaries and thickness, avoiding misjudgment and omission.

Automated Processing Reduces Cost & Time: Minimizes manual interpretation time and rapidly generates standardized reports, enhancing emergency response efficiency.

Scientifically Supports Emergency Decisions: Provides quantifiable oil spill trajectory simulations and impact assessments to optimize containment and cleanup resource allocation.

Minimizes Environmental & Economic Losses: Rapid response and accurate assessment effectively reduce ecological damage and subsequent remediation costs.