2024 – IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece

Time-Series Tutorial - Understanding Dynamics with Advanced Time-Series Processing Techniques

During the last decades, the number and characteristics of imaging sensors onboard satellites have constantly increased and evolved, allowing access (often free of charge) to a large amount of Earth Observation data. Recent satellites, such as Sentinel-2 or PlanetScope Doves, frequently revisit the same regions at weekly or even daily temporal resolutions. The data cubes acquired by these modern sensors, referred to as satellite image time series (SITS), make it possible to precisely monitor landscape dynamics continuously for various applications such as land monitoring, natural resource management, and climate change studies. In these applications, the method of transformation of sequences of satellite images into meaningful information relies on a precise analysis and understanding of the temporal dynamics present in SITS.

While a growing remote sensing research community studies these inherently multi-temporal aspects of our Planet, the underlying processing techniques need to be presented to a broader community. Concretely, we aim to reduce this gap in this half-day tutorial by presenting and reflecting on the breadth of methodologies and applications that require time-series data. After a brief introduction to time series, the first section will focus on time-series segmentation, whereas the second section will be devoted to deep learning techniques that exploit the temporal structure of the data. In practice, the theoretical concepts will be complemented with one hands-on practical session using Google Colab notebooks in R or Python/PyTorch.

July 7 09:00 to 12:30 – Room MC3.4

  Time-Series Tutorial
09:00 - 09:15 Part I. Introduction to time-series analysis
09:15 - 09:45 Part II. Time-series segmentation and break detection
09:45 - 10:15 Part III. Deep learning techniques for satellite image time series
10:15 - 10:45 Break
10:45 - 11:55 Practical session: (i) break detection, and (ii) deep learning
11:55 - 12:00 Closing remarks

Location

Megaron Athens International Conference Centre (MAICC) More details can be found here.

Room MC3.4 access at level -1: