Remote Compositional Analysis Techniques for Understanding Spectroscopy, Mineralogy, and Geochemistry of Planetary Surfaces
Book contents
- Remote Compositional Analysis
- Cambridge Planetary Science
- Remote Compositional Analysis
- Copyright page
- Contents
- Contributors
- Foreword
- Preface
- Acknowledgments
- Part I Theory of Remote Compositional Analysis Techniques and Laboratory Measurements
- Part II Terrestrial Field and Airborne Applications
- Part III Analysis Methods
- 13 Effects of Environmental Conditions on Spectral Measurements
- 14 Hyper- and Multispectral Visible and Near-Infrared Imaging Analysis
- 15 Thermal Infrared Spectral Modeling
- 16 Geochemical Interpretations Using Multiple Remote Datasets
- Part IV Applications to Planetary Surfaces
- Index
- References
15 - Thermal Infrared Spectral Modeling
from Part III - Analysis Methods
Published online by Cambridge University Press: 15 November 2019
Book contents
- Remote Compositional Analysis
- Cambridge Planetary Science
- Remote Compositional Analysis
- Copyright page
- Contents
- Contributors
- Foreword
- Preface
- Acknowledgments
- Part I Theory of Remote Compositional Analysis Techniques and Laboratory Measurements
- Part II Terrestrial Field and Airborne Applications
- Part III Analysis Methods
- 13 Effects of Environmental Conditions on Spectral Measurements
- 14 Hyper- and Multispectral Visible and Near-Infrared Imaging Analysis
- 15 Thermal Infrared Spectral Modeling
- 16 Geochemical Interpretations Using Multiple Remote Datasets
- Part IV Applications to Planetary Surfaces
- Index
- References
Summary
Spectral modeling techniques have been developed for the analysis of planetary surfaces using large thermal infrared (TIR) spacecraft datasets. These techniques can be applied to three main spectral analysis problems: (1) correction for atmospheric effects for the recovery of surface emissivity; (2) isolation and separation of surface spectral endmembers for the characterization of surface mineralogy; and (3) determination of surface anisothermality for the retrieval of surface physical properties and correction for thermal emission in near-infrared spectral data. These modeling techniques have been extensively applied to martian and lunar spacecraft datasets, forming a basis for the retrieval of surface physical and compositional properties.
Keywords
mineralogyspectroscopyemissivitythermal infraredsurface roughnessrock abundanceanisothermalitylinear spectral mixture analysisspectral endmemberspartial least squarestarget transformationatmospheric correctionThermal Emission SpectrometerThermal Emission Imaging SystemDiviner Lunar Radiometer ExperimentMiniature Thermal Emission SpectrometerMarsMoon
- Type
- Chapter
- Information
- Remote Compositional AnalysisTechniques for Understanding Spectroscopy, Mineralogy, and Geochemistry of Planetary Surfaces, pp. 324 - 336Publisher: Cambridge University PressPrint publication year: 2019
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