Remote Sensing

Garant předmětu:

Karel Pavelka

Lecturer:

Tomáš Bouček, Eva Matoušková, Karel Pavelka

Tutor:

Tomáš Bouček, Eva Matoušková, Karel Pavelka

Supervisor:

Department of Geomatics

Synopsis:

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.

Requirements:

basic mathematics and physic

Syllabus of lectures:

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

Syllabus of tutorials:

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

Study Objective:

The subject is focused on explanation of physical bases allowing to use remote sensing, on technical explanation of methods of data collection/measurement, on behavior of individual materials/land covers as an interaction with electromagnetic radiation, and on possibility to use RS for many applications.

Study materials:

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

Note:

Further information:

https://geo.fsv.cvut.cz/gwiki/155RESE

Time-table for winter semester 2024/2025:

Time-table is not available yet

Time-table for summer semester 2024/2025:

Time-table is not available yet

The course is a part of the following study plans: