Sensing and spatial modeling for earth observation
Summary
In this course students get acquainted with the process of image (orthophoto and DEM) creation, as well as with methods for monitoring the Earth surface using remotely sensed data. Methods will span from machine learning to geostatistics and model the spatiotemporal variability of processes.
Content
The course is organized in three main parts.
1. Image creation
- Processes of image creation
- Orientation
- Matching
- DEM and orthophotos
2. Environmental monitoring with machine learning
- Extracting features from elevation or image data
- Prediction with linear and nonlinear regression
3. Geostatistics:
- Definitions and spatial context
- Structural analysis
- Interpolation using kriging
Keywords
Geostatistics, spatial variability, variograms, kriging interpolation
Learning Prerequisites
Recommended courses
Basic statistics
Learning Outcomes
By the end of the course, the student must be able to:
- Explain pipelines of image acquisition and their conversion to 3D models
- Assess / Evaluate problems related to spatial correlation
- Design solutions to address those
- Implement state of the art geostatistical and machine learning approaches
Transversal skills
- Demonstrate the capacity for critical thinking
- Access and evaluate appropriate sources of information.
Teaching methods
Ex-cathedra lectures and exercice sessions
Assessment methods
Tests during the semester (30%) and final exam (70%)
Dans les plans d'études
- Semestre: Printemps
- Forme de l'examen: Ecrit (session d'été)
- Matière examinée: Sensing and spatial modeling for earth observation
- Cours: 2 Heure(s) hebdo x 14 semaines
- Exercices: 2 Heure(s) hebdo x 14 semaines
- Semestre: Printemps
- Forme de l'examen: Ecrit (session d'été)
- Matière examinée: Sensing and spatial modeling for earth observation
- Cours: 2 Heure(s) hebdo x 14 semaines
- Exercices: 2 Heure(s) hebdo x 14 semaines
- Forme de l'examen: Ecrit (session d'été)
- Matière examinée: Sensing and spatial modeling for earth observation
- Cours: 2 Heure(s) hebdo x 14 semaines
- Exercices: 2 Heure(s) hebdo x 14 semaines