These are my Advanced Remote Sensing projects!

Course Description

This introductory seminar course advances both depth and extent of skills in automated image analysis of remotely sensed data. This course covers the full workflow from image acquisition (new sensor types and devices), over advanced pre-processing and pre-classification techniques, and object-based image understanding including quality assessment.

The schedule includes the following topics:

Space, EO applications and Copernicus programme

Spatial concepts in image analysis

Hyperspectral remote sensing and its principles

Radio detection and ranging (RaDAR) - techniques and applications

Light detection and ranging (LiDAR) - techniques and applications

Radiometric correction to satellite images

Image segmentation - Image convolution - Filters / CNN

Knowledge representation and Knowledge-based classification

Advanced statistical classifiers (SVM, random forest)

Quality assessment and validation

The single topics will be deepened by hands-on exercises and assignments using relevant software packages.

Sentinel-1 SAR - Hands-on to data processing

Monitoring geohazards is vital for minimizing risks to lives and infrastructure. This assignment uses Sentinel-1 SAR data to detect ground displacement, creating a displacement map processed with ESA's SNAP software.

The study focuses on La Palma, Canary Islands, where the Cumbre Vieja volcano erupted from September 19 to December 13, 2021. This major eruption displaced thousands, caused extensive ground deformation and damage, and serves as a key case for analyzing volcanic deformation using InSAR technology for geohazard monitoring.

The following document gives a good workflow to process SAR data using ESA's SNAP software:

Advanced Classifiers using eCognition

This document offers a detailed review of the workflow for using eCognition software to process and classify data. It explains the step-by-step procedures involved, from importing raw data to applying segmentation techniques, creating classification rules, and generating accurate results.

The guide is designed to help users understand how to leverage eCognition’s powerful tools for data analysis and classification, ensuring a smooth and efficient workflow tailored to various project requirements.