REMOTE SENSING I
Learning outcomes of the course unit
To provide the theoreticalbasisof the spectroscopic remote sensing forthe lithological analysis and simplemethods of data analysis and classification
Basic principles on electromagnetic waves, knowledge of mineralogy, petrography andgeology
Course contents summary
1 – Introduction to the concepts and methods of the remote sensing
2 - Physical principles
2.1 – The electromagnetic radiation and the matter: nature of the radiation;electromagnetic radiation and matter.
2.2 –Sources of the electromagnetic radiation for remote sensing: sun, reflecting natural surfaces.
2.3 –Measurement of the radiation: radiometric quantities.
2.4 - Interaction processes between electromagnetic radiation and matter:
at the interface: smooth plane surface (reflectance, refraction,diffraction: opticalgeometry);irregular homogeneous surface: Lambertian surface;Fresnel low:complex refractive index; atomic and molecular interactionprocesses: electronic, vibrational, rotalional processes.
3 –Interaction processes used in remote sensing
3.1–Interactionin the atmosphere: composition; scattering and absorptions;energy transfer; atmospheric models: examples.
3.2 –Interactions in the terrain (soils, rocks, water, other materials)
VIS-NIR(400-2500nm):spectral reflectance; laboratory spectra: electronictransitions in transition elements; other electronic processes;vibrationalprocesses;scattering in a particulate material;
Examples of spectra of minerals, rocks, sediments measured in laboratory, in the field, from remote.
Exercises:analysis of reflectance spectra of minerals and rocks.
4 – The systems for remote sensing data acquisition
4.1–Spectroradiometersfor laboratory, in-situ, from remote analyses;transfer functionand the concept of radiometric resolution.
4.2 –Imaging spectrometers.
4.2.1–General:types of spectroradiometers; spectral resolution;radiometric resolution and distortion; acquisitiongeometry andgeometric distortions.
4.2.2–Remotesensing systems from satellites: orbit characteristics;spectraland radiometric characteristics and distortions;geometricdistorsions.
4.2.3–Basicprocessing methods of remote multispectral data:datacube;transformation to reflectance; visualization; simple methodsfordata analysis;geometric and geographic corrections.
5 –Laboratory of data analysis and classification
Examplesof analysis and interpretation of multispectral and multitemporaldata:criteria and examples of discrimination and interpretationoflithotypes and of recent depositional systems
Processing ofdigital data: analysis and interpretation of multispectraldata:atmospheric corrections; visualization (slicing,bandcomposition); visual amelioration (stretching,decorrelationstretching, filtering); spectral analysis (RSspectra andlaboratory spectra; radiance transformation toreflectance, algebricand statistical operations, etc); thematicclassifications.
B.S. Siegaland A.R. Gillespie – Remote Sensing in Geology, John Wiley and Sons, New York, 1980
T.M. Lillesand and R.W. Kiefer, Remote sensing and image interpretation, John Wiley & Sons, New York, 1999
Orallectures and exercises
Laboratorywith written final report
Oralexamination and discussion about the written report