The main aim of these lectures is to illustrate different approaches for the retrieval of biophysical parameters with a specific focus on snow and glaciers, by combining optical and radar satellite images.
Course Prerequisites
Basic knowledge about physics (electromagnetic waves), remote sensing sensors (passive and active sensors) and data (digital numbers, processing levels).
Teaching Methods
Lectures and interactive discussion and experiments using an open access software.
Assessment Methods
The students will be asked to discuss a case study and provide a report that will be evaluated.
Texts
The slides used by the teacher will be provided, together with a list of relevant books and literature papers.
Contents
- Pre-processing of SAR images with SNAP. - Retrieval of Biophysical parameters: main techniques for snow parameter retrieval. • Exercises for snow parameter retrieval: detection of dry and wet snow by combining Sentinel-1 and Sentinel-2 images - Retrieval of Biophysical parameters: main techniques for glacier parameter retrieval - Exercises for glacier parameter retrieval: detection of glacier outline by combining Sentinel-1 and Sentinel-2 images - Exercises on batch processing for snow and glacier parameter retrieval with SNAP and Python - Exercises for snow and glacier parameter retrieval with Google Earth Engine.
