Description:

The lectures focuse on an explanation of the physical principle on which remote sensing (RS) is based, a technical explanation of measurement methods, the behaviour of individual substances in response to interaction with different types of electromagnetic radiation, and the possibility of using RS for a range of applications. The lectures contain: introduction to RS. Basic physical and mathematical relations. Image creation. Detectors and sensors. Spectral properties of substances and land features, spectral signatures. Image manipulation, histogram. Image enhancement, edge filters. Supervised and unsupervised classification, clusters, training sets. Practical use of RS. Examples of data.

Contents:

1. Introduction, definition, history
2. Electromagnetic radiation, electromagnetic spectrum
3. Physical and radiometric quantities, unities, energy of radiation, sources of radiation
4. Interaction of radiation and objects ? reflection, absorption, transmission, emission
5. Atmosphere in remote sensing ? scattering, absorption wavelength bands, atmospheric windows
6. Function of the atmospheric transmission
7. Radiation characteristic of earth objects ? water, vegetation,
8. Radiation characteristic of earth objects ? soil
9. Remote sensing passive data collection ? image data collection ? principle, spectral measurement, detectors, distortions
10. Remote sensing active data collection ? image data collection ? principle, polarimetric measurement, gemetry, distortions
11. Remote sensing data collection systems, carriers
12. Remote sensing data applications
13. Image data processing

Seminar contents:

Introduction to remote sensing
Data downloading ad data sources, free data sources
Working with remote sensing data 1
Working with remote sensing data 2
Image filtering and processing
Vegetation indices
Unsupervised classification
Supervised classification
Practical example - land cover, land use
Classification accuracy
Introduction to hyperspectral data
Principal Component Analysis

https://lfgm.fsv.cvut.cz/vyuka.html

Recommended literature:

Dobrovolný, P.: Remote Sensing. Brno. 1998. ISBN: 80-210-1812-7
Lillesand, T.M., Kiefer, R.W., Chipman, J.W.: Remote Sensing and Image Interpretation,
7th Ed., Wiley, 2007. ISBN: 978-1-118-34328-9
Canty, M.J.: Image Analysis, Clasification and Change Detection in Remote Sensing. CRC Taylot& Francis. 2007. ISBN: 0-8493-7251-8

Keywords:

remote sensing, electromagnetic spectrum, radiation, image, raster data, data collection, satellite, signature, absorption, reflection, transmission, scattering

Abbreviations used:

Semester:

• W ... winter semester (usually October - February)
• S ... spring semester (usually March - June)
• W,S ... both semesters

Mode of completion of the course:

• A ... Assessment (no grade is given to this course but credits are awarded. You will receive only P (Passed) of F (Failed) and number of credits)
• GA ... Graded Assessment (a grade is awarded for this course)
• EX ... Examination (a grade is awarded for this course)
• A, EX ... Examination (the award of Assessment is a precondition for taking the Examination in the given subject, a grade is awarded for this course)

Weekly load (hours per week):

• P ... lecture
• C ... seminar
• L ... laboratory
• R ... proseminar
• S ... seminar