Hyperspectral Imaging Application: Oil Spill Mapping
The textbook you need to learn how to map, identify and quantify oil spills in marine ecosystems using Earth Observation
This textbook remote sensing online course will guide you to learn how to use hyperspectral and multispectral remote sensing images to:
To accomplish these, two methodologies are presented presented based on satellite earth observation images. Also experiments using ground spectral measurements are used in order to build a Spectral Library and develop a model for thickness estimation.
This textbook course is ideal for students and professionals either in the EO&GIS domain or in the environmental monitoring domain.
€25,00
Regular price
Lesson 1: Understanding the problem
FREE PREVIEWLesson 2: Current Approaches for oil spill mapping with Earth Observation (Part 1)
Lesson 3: Current Approaches for oil spill mapping with Earth Observation (Part 2)
Lesson 4: Oil spill mapping workflow
FREE PREVIEWLesson 5: Oil spill mapping workflow graph
Lesson 6: Datasets used to evaluate the methodology
Lesson 7: On ASTER Imagery (Part 1)
Lesson 8: On ASTER Imagery (Part 2)
Lesson 9: On MODIS Imagery (Part 1)
Lesson 10: On MODIS Imagery (Part 2)
Lesson 11: SpecTIR Imagery
Lesson 12: Drafting conclusions on the application results
Further Reading
Lesson 13: Integrated oil spill mapping workflow
Lesson 14: Integrated oil spill mapping workflow graph
Lesson 15: Why to examine the relative radiometric normalization concept?
FREE PREVIEWLesson 16: Introducing the Relative Radiometric Concept (Part 1)
Lesson 17: Introducing the Relative Radiometric Concept (Part 2)
Lesson 18: Spectral Indices that are used to compare spectrums
Lesson 19: The Algorithm: Normalized Proximity and Similarity Methodology (NPSM) [Part 1]
Lesson 20: The Algorithm: Normalized Proximity and Similarity Methodology (NPSM) [Part 2]
Lesson 21: Data & Experiments to evaluate NPSM
Lesson 22: Evaluation Results of NPSM
Lesson 23: Evaluation Results of NPSM: Multispectral Images
Lesson 24: Evaluation Results of NPSM: Hyperspectral Images
Lesson 25: Concluding Remarks for the Relative Radiometric Normalization Process
References and Further Reading
Lesson 26: Application of the Integrated oil spill mapping workflow
Lesson 27: Results of the Integrated oil spill mapping workflow (Multispectral)
Lesson 28: Resutls of the Integrated oil spill mapping workflow (Hyperspectral)
Lesson 29: Drafting concluding remarks
Lesson 30: Introduction to the concept
FREE PREVIEWLesson 31: Methodological Approaches [Part 1]
Lesson 32: Methodological Approaches [Part 2]
Lesson 33: What data we need to approach the problem?
Lesson 34: Unmixing methods to estimate the oil spill thickness
Lesson 35: Oil Spill thickness estimation [Part 1]
Lesson 36: Oil Spill thickness estimation [Part 2]
Lesson 37: Concluding Remarks for Oil spill thickness estimation
References and Further Reading
Hyperspectral oil spill mapping
Relative Radiometric Normalization
Oil spill type identification with hyperspectral data
Spectral Unmixing
Oil spill thickness estimation
Spectral Libraries building and updating
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