Monitoring the Evolution of the Kaiwhata Landslide in New Zealand using Object-based Image Analysis and Sentinel-2 Time Series – Kiarash POOLADSAZ
Kiarash POOLADSAZ
Master's thesis
Monitoring the Evolution of the Kaiwhata Landslide in New Zealand using Object-based Image Analysis and Sentinel-2 Time Series
Monitoring the Evolution of the Kaiwhata Landslide in New Zealand using Object-based Image Analysis and Sentinel-2 Time Series
Abstract:
Landslides are geological events that occur frequently in mountainous and hilly areas of New Zealand, causing significant damage and changes to the landscape. These events can be disastrous, and monitoring their evolution and subsequent impacts is essential to mitigate hazards that could arise in later reactivation phases or similar cases. The abundance of time-series remote sensing data has facilitated …moreAbstract:
Landslides are geological events that occur frequently in mountainous and hilly areas of New Zealand, causing significant damage and changes to the landscape. These events can be disastrous, and monitoring their evolution and subsequent impacts is essential to mitigate hazards that could arise in later reactivation phases or similar cases. The abundance of time-series remote sensing data has facilitated …more
Language used: English
Date on which the thesis was submitted / produced: 24. 5. 2023
Thesis defence
- Supervisor: RNDr. Jan Brus, Ph.D.
Citation record
ISO 690-compliant citation record:
POOLADSAZ, Kiarash. \textit{Monitoring the Evolution of the Kaiwhata Landslide in New Zealand using Object-based Image Analysis and Sentinel-2 Time Series}. Online. Master's thesis. Olomouc: Palacký University Olomouc, Faculty of Science. 2023. Available from: https://theses.cz/id/opeifp/.
The right form of listing the thesis as a source quoted
POOLADSAZ, Kiarash. Monitoring the Evolution of the Kaiwhata Landslide in New Zealand using Object-based Image Analysis and Sentinel-2 Time Series . Olomouc, 2023. diplomová práce (Mgr.). UNIVERZITA PALACKÉHO V OLOMOUCI. Přírodovědecká fakulta
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- světu
Other ways of accessing the text
Institution archiving the thesis and making it accessible: UNIVERZITA PALACKÉHO V OLOMOUCI, Přírodovědecká fakultaPalacký University Olomouc
Faculty of ScienceMaster programme / field:
Geoinformatics and Cartography / Geoinformatics and Cartography
Theses on a related topic
-
Detecting Large Ungulates in the Middle East and Africa using UAV Acquired Imagery and Analysis
Meyer Etienne De Kock -
MAPPING OF WATER QUALITY DYNAMICS DERIVED FROM HYPERSPECTRAL EARTH OBSERVATION DATA FOR THE TAM GIANG LAGOON IN CENTRAL VIETNAM
Emma GARCIA BOADAS -
Portrayal of likely climate change impacts on beekeeping based on earth observation data
Yuan WANG -
Leveraging Machine Learning for Time Series Predictive Analysis
Samuel Ambros -
Real time series analysis in terms of predictability, entropy and chaos
Jiří Tomčala -
Time series Analysis
Vojtěch Kotík -
Time Series Analysis
Bohumil Kolář -
Time Series Analysis of Stock Index Forecasting
Yue Zheng
Name
Posted by
Uploaded/Created
Rights
Folders
Files
MARKLOVÁ, E.
25/5/2023