Modern Methods of Spatial Data Collection
Code | Completion | Credits | Range | Language |
---|---|---|---|---|
155MSDC | Z,ZK | 6 | 2P+2C | English |
- Course guarantor:
- Jan Pacina, Karel Pavelka
- Lecturer:
- Jan Pacina, Karel Pavelka
- Tutor:
- Dominik Brétt, Jan Pacina, Karel Pavelka
- Supervisor:
- Department of Geomatics
- Synopsis:
-
A new course, introduced in 2020. It deals with modern methods that are still being developed but are already in common practice. These are mainly mobile personal laser scanners and miniaturized laser scanners for BIM, the course introduces the basics of data conversion to REVIT, the course also briefly introduces geophysical methods of subsurface non-invasive exploration (GPR and magnetometer). Part of the lectures and the application exercises are devoted to modern RPAS systems (drones) and also satellite data warehouses. A significant part deals with methods of data use and conversion into virtual reality (VR).
- Requirements:
-
basic photogrammetry, remote sensing and physics
- Syllabus of lectures:
-
Satellite data, their acquisition and processing, lidar and bathymer data and methods of use. Ground Penetrating Radar (GPR), magnetometry and virtual reality are also introduced, along with the basics of the technology and examples of applications.
see web page: https://geo.fsv.cvut.cz/gwiki/155MSDC
- Syllabus of tutorials:
-
1. Introduction to GIS - data structures, data sources, cartographic visualization, drawing creation (31 minutes) - download
2. Basic analysis - attribute and spatial queries, topological overlays, visualization (28 minutes) - download
3. Data creation - databases, subtypes, topological rules, vectorization (27 28 minutes) - download
4. Georeferencing contemporary and archival maps (18 minutes) - download
5. Data in the cloud - publishing data in AGOL, creating maps applications (22 minutes) - download
6. Interpolation techniques - methods, accuracy assessment and 3D visualisation data (1h 19 minutes) - download
7. Satellite image processing and ArcGIS Pro - Landsat and Sentinel, classification, cloud data (1h 24mins) - download
8. Landscape change analysis using archival and contemporary data (57 minutes) - download
9. Drone data processing (43 minutes) - download
10. Revit, creation of a small model, export to VR
- Study Objective:
-
The course focuses on satellite data, their acquisition and processing, lidar and bathymer data and methods of use. Ground Penetrating Radar (GPR), magnetometry and virtual reality are also introduced, along with the basics of the technology and examples of 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
Online Moodle courseware
- Note:
-
course for foreign (Erasmus) students in English
- Further information:
- https://geo.fsv.cvut.cz/gwiki/155MSDC
- Time-table for winter semester 2024/2025:
-
06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon Tue Wed Thu Fri - Time-table for summer semester 2024/2025:
- Time-table is not available yet
- The course is a part of the following study plans: