Lecture 9: Spectroscopy

Slides:



Advertisements
Similar presentations
Electro-magnetic radiation
Advertisements

Color and Spectral Signatures Steve Dutch University of Wisconsin-Green Bay.
Radiometric Corrections
Spectrum from a Prism. Example of a Spectrum Kirchoff’s Laws.
ESS st half topics covered in class, reading, and labs Images and maps - (x,y,z,,t) Temporal data - Time-lapse movies Spatial data - Photos and.
Energy interactions in the atmosphere
Photons of Light The smallest unit of light is a photon A photon is often called a particle of light The Energy of an individual photon depends on its.
Fiber-Optic Communications James N. Downing. Chapter 2 Principles of Optics.
Class 10: Earth-Orbiting Satellites And Review Thursday 5 February Reading: LKC p Last lecture: Spectroscopy, mineral spectra.
Lecture 2 Photographs and digital mages Friday, 7 January 2011 Reading assignment: Ch 1.5 data acquisition & interpretation Ch 2.1, 2.5 digital imaging.
METR155 Remote Sensing Lecture 4: Thermal Radiation, Spectral Signature.
Understanding Multispectral Reflectance  Remote sensing measures reflected “light” (EMR)  Different materials reflect EMR differently  Basis for distinguishing.
Remote Sensing in Geology, Siegal & Gillespie (class website)
FIBER PROPERTIES Transmission characteristics of a fiber depends on two important phenomena Attenuation Dispersion Attenuation or transmission loss Much.
Remote Sensing Hyperspectral Remote Sensing. 1. Hyperspectral Remote Sensing ► Collects image data in many narrow contiguous spectral bands through the.
The use of MOD09 product and in situ data in a reservoir Valério, A.M.; Kampel, M.; Stech, J.L. alineval, milton, stech COSPAR Training.
A.Olioso, S. Jacquemoud* & F. Baret UMR Climat, Sol et Environnement INRA Avignon, France * Institut de Physique du Globe de Paris (IPGP) Département de.
Remote Sensing Energy Interactions with Earth Systems.
Digital Numbers The Remote Sensing world calls cell values are also called a digital number or DN. In most of the imagery we work with the DN represents.
RamanRaman. Scattering Tyndall scattering – if small particles are present During Rayleigh scattering (interaction of light with relatively small molecules)
Spectral Characteristics
Chapter 5 Remote Sensing Crop Science 6 Fall 2004 October 22, 2004.
West Hills College Farm of the Future. West Hills College Farm of the Future Precision Agriculture – Lesson 4 Remote Sensing A group of techniques for.
Light. Review Question What is light? Review Question How can I create light with a cow magnet?
Electromagnetic Radiation Most remotely sensed data is derived from Electromagnetic Radiation (EMR). This includes: Visible light Infrared light (heat)
1. 2 Part II Remote Sensing using Reflected Visible and Infrared Radiation 602-Mar7 Surface reflectance – Land SurfacesCh Mar Surface reflectance.
 Introduction to Remote Sensing Example Applications and Principles  Exploring Images with MultiSpec User Interface and Band Combinations  Questions…
1 Lecture 7 Land surface reflectance in the visible and RIR regions of the EM spectrum 25 September 2008.
Digital Imaging and Remote Sensing Laboratory Spectral Signatures.
Spectral response at various targets
Remote Sensing in Geology. Lesson 1: Definition and scope of Remote Sensing Brief history Lesson 2: RS system Elements of the RS system Lesson 3: Resources.
Lecture 20 – review Labs: questions Next Wed – Final: 18 March 10:30-12:20 Thursday, 12 March.
Light. Review Question What is light? Review Question How can I create light with a magnet?
NOTE, THIS PPT LARGELY SWIPED FROM
Lecture 8: Volume Interactions Thursday, 28 January 2010 Ch 1.8 Major spectral features of minerals (p. xiii-xv), from Infrared.
Beyond Spectral and Spatial data: Exploring other domains of information: 2 GEOG3010 Remote Sensing and Image Processing Lewis RSU.
Raman spectroscopy.
Electromagnetic Radiation
Remote sensing of snow in visible and near-infrared wavelengths
Understanding Multispectral Reflectance
Active Microwave Remote Sensing
Using vegetation indices (NDVI) to study vegetation
REMOTE SENSING EM Radiation Interactions with the Atmosphere
Week Fifteen Synopsis of Ch. 14:
Hyperspectral Sensing – Imaging Spectroscopy
GEOGRAPHIC INFORMATION SYSTEMS & RS INTERVIEW QUESTIONS ANSWERS
Basics of radiation physics for remote sensing of vegetation
Hyperspectral Remote Sensing
Light waves interact with materials
The Red Edge: Detecting Extraterrestrial Plants
ESS st half topics covered in class, reading, and labs
Lecture 8: Volume Interactions
Lecture 9: Spectroscopy
Lecture 9: Spectroscopy
UV-VISIBLE SPECTROSCOPY Dr. R. P. Chavan Head, Department of Chemistry
Digital Numbers The Remote Sensing world calls cell values are also called a digital number or DN. In most of the imagery we work with the DN represents.
GS 5102: Introduction to Remote Sensing
Introduction and Basic Concepts
Signatures of Geologic Materials in VNIR-SWIR
Fig. 4-1: Pure-crystal energy-band diagram
Lecture 8: Volume Interactions
Spectral Signatures and Their Interpretation
Lecture 9: Spectroscopy
Lecture 20 – review Thursday, 11 March 2010 Labs: questions
Class 10: Earth-orbiting satellites
Introduction and Basic Concepts
REMOTE SENSING.
REMOTE SENSING.
Lecture 8: Volume Interactions
Hyperspectral Remote Sensing
Presentation transcript:

Lecture 9: Spectroscopy Tuesday, 2 February 2010 Lecture 9: Spectroscopy Reading Ch 5.14 Ch 6.1-3 Ch 4.5

Discussion: 1) reflection/refraction of light from surfaces (surface interactions) 2) volume interactions - resonance - electronic interactions - vibrational interactions 3) spectroscopy - continuum vs. resonance bands - spectral “mining” - continuum analysis 4) spectra of common Earth-surface materials

Spectra vary with composition Minerals Ices CaCO3 MgCO3 Be3Al2(SiO3)6 CaSO42(H2O) KAl(SO4)212H2O KFe+33(OH)6(SO4)2

Fig 2.21, Siegal & Gillespie For silica in TIR Thermal infrared Molecular vibration modes in silicates affect the thermal infrared Fig 2.21, Siegal & Gillespie For silica in TIR Thermal infrared silicates

Reflectance spectrum of SiO2 in the TIR QUARTZ: SiO2 The doubled peak is due to crystallographic asymmetry (hexagonal) in quartz The silica tetrahedron is distorted in quartz: the Si-O bond down the c-axis has a different length than it does across it

Phase affects spectra Ice – liquid transition for water Bands don’t broaden much as ice turns to water Band centers shift subtly Amount of absorption increases with optical length z in Beer’s law (e-kz) – there are no grain interfaces in water. This is a particle size affect Low water content Ice – liquid transition for water High water content

Particle size affects spectra Coarse particles – spectra dominated by absorption inside grains Fine particles – spectra dominated by surface reflection Low surface/volume ratio Average optical path is long High surface/volume ratio Path is shorter

Particle size affects spectra H2O Pyroxene XY(Si,Al)2O6

Spectral resolution: multispectral remote sensing vs. imaging spectroscopy KAl(SO4)212H2O Imaging spectroscopy is more likely to resolve absorption bands

Spatial resolution also affects spectra (by mixing) KAl(SO4)212H2O KFe+33(OH)6(SO4)2 Areal (checkerboard) mixing: additive Intimate mixing: “subtractive”

Intimate mixing can be highly non-linear Adding highly absorptive charcoal greatly reduces the optical path length (“z” in Beer’s Law: e-kz) A small amount has a large effect Larger amounts have diminishing effect

Spectroscopy considerations - continuum vs. resonance bands Absorption bands are measured relative to the “continuum” – the value of the spectrum if the absorption band was not present

Discussion: 1) reflection/refraction of light from surfaces (surface interactions) 2) volume interactions - resonance - electronic interactions - vibrational interactions 3) spectroscopy - continuum vs. resonance bands - spectral “mining” - continuum analysis 4) spectra of common Earth-surface materials

Spectra of common Earth-surface materials SOIL Path length Clay H2O Fe-O Water absorption

Spectra of common Earth-surface materials Cellular scattering Green Vegetation Water absorption Chlorophyll absorption

Spectra of common Earth-surface materials Dry Vegetation Cellulose Cellular scattering Water absorption Chlorophyll absorption

Leaf structure and its relation to spectra Absorption band in red: chlorophyll pigment Reflective NIR: scattering in the prismatic leaf cells SWIR absorption: absorption by leaf water

Next Class: Satellites & orbits Review for Midterm