Oil Spill Detection, Identification, and Tracing /

Bibliographic Details
Call Number:Libro Electrónico
Main Author: Li, Ying (Author)
Format: Electronic eBook
Language:Inglés
Published: Amsterdam ; Cambridge, MA : Elsevier, [2024]
Subjects:
Oil spills.
Oil spills > Identification.
Detectors.
Tracers (Chemistry)
Oil spills > Case studies.
Online Access:Texto completo
Table of Contents:
  • Front Cover
  • OIL SPILL DETECTION,IDENTIFICATION, AND TRACING
  • OIL SPILL DETECTION,IDENTIFICATION, AND TRACING
  • Copyright
  • Contents
  • Preface
  • Acknowledgments
  • 1
  • Introduction
  • 1.1 Oil spill and its impacts
  • 1.2 Sources of oil spills and their characteristics
  • 1.3 Oil spill remote sensing and tracing
  • 1.3.1 Oil spill detection and identification technology
  • 1.3.2 Oil spill tracing
  • 1.3.2.1 Infrared spectroscopy
  • 1.3.2.2 Fluorescence spectroscopy
  • 1.3.2.3 Gas chromatography
  • 1.3.2.4 Gas chromatography-mass spectrometry
  • 1.3.2.5 Stable isotope mass spectrometry
  • 3.2 Theoretical basis for the oil spill remote sensing using visible bands
  • 3.2.1 Solar radiation
  • 3.2.2 Transmission of visible light in the atmosphere
  • 3.2.3 Interaction between visible light and oil slick
  • 3.3 Oil spill detection using infrared bands
  • 3.3.1 Theoretical basis of infrared radiation
  • 3.3.2 Interaction between infrared radiation and atmosphere
  • 3.3.3 Infrared characteristics of oil spills
  • 3.4 Passive optical remote sensing technology
  • 3.4.1 Oil spill detection and identification based on reflectance spectrum
  • 3.4.1.1 Feature selection and feature extraction of hyperspectral data
  • 3.4.1.2 Spectral characteristics parameters
  • 3.4.2 Oil spill extraction in hyperspectral image
  • 3.4.3 Spectral unmixing technology for oil spill detection
  • 3.4.3.1 Spectral mixing model
  • 3.4.3.2 Spectral unmixing model
  • 3.4.3.3 Abundance estimation
  • References
  • 4
  • Active optical remote sensing technology for oil spill detection
  • 4.1 Remote sensors and sensing platforms
  • 4.1.1 Airborne LIF system for oil spill detection and identification

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