Environmental Analysis Using Satellite Image Time Series
Date: 2023-08-30, 13:30–15:00 Speaker: Ewa Grabska-Szwagrzyk
Introduction to Satellite Image Time Series Analysis
The workshop focused on the powerful tool of satellite imagery time series for detecting and analyzing environmental changes. With open-access data from missions like Landsat and Sentinel, the course delved into the methods of studying short- and long-term land cover changes.
Workshop Objectives and Coverage
- Data Preprocessing: Emphasized the importance of preprocessing steps such as outlier removal and handling missing observations to ensure data quality.
- Time Series Modeling: Participants learned various methods to effectively model time series data.
- Detection of Trends and Breaks: The workshop provided techniques for identifying trends and discontinuities within the time series.
- Types of Changes Analyzed: The analysis included a range of environmental changes, from urban growth to vegetation succession, encompassing both abrupt and gradual transitions.
Practical Skills and Tools
- Participants were trained in using the R programming language for environmental analysis.
- The workshop combined theoretical knowledge with practical application, ensuring a comprehensive learning experience.