Knowledge and understanding: capability of selecting and processing the most appropriate satellite images to define temporal changes happening on the earth surfaces due to natural or anthropogenic origin. Usage of multispectral and Synthetic aperture Radar acquisitions.

Applying knowledge and understanding: capability of communicating with the earth engine database in order to process satellite images. Coding language is in the earth engine environment using Javascript. Different application areas from environmental sciences, Biological indicators, Geology, Climatic indicators.

Making judgments: understanding how to translate a verbal description of a surface change problem into a process chain of satellite acquisitions and analysis.

Communication skills: capability of illustrating to an audience at the level of senior high school level students or higher, the results of earth change as obtained from satellite acquisitions.

Learning skills: Capability of autonomously finding the solution for a precise scientific description of a earth monitoring problem through the optimized processing of satellite acquisitions. Integrate the required spatial, time and signal resolutions with the performance of the existing satellites.

None

Principal methods for monitoring the earth and the environment using
satellite derived remote sensing methods. Multispectral Images, SAR, and
introduction to interferometric InSAR. Introduction to the remote sensing
facility Earth Engine (google).

Fundamentals of Remote Sensing
http://www.nrcan.gc.ca/earthsciences/geomatics/satellite-imagery-airphotos/satellite-imageryproducts/educational-resources/9309;
Thomas Lillesand, Ralph W. Kiefer, Jonathan Chipman (2015) Remote Sensing and Image Interpretation, 7th
Edition, J Wiley, ISBN : 978-1-118-91947-7

1-Introduction to the course. Techniques and applications of monitoring
with satellite Remote Sensing
2- Remote sensing in the visible band, stratification of the atmosphere,
electromagnetic spectrum, active and passive remote sensing, spectral
bands, multispectral sensors
3- Introduction to satellite orbits, circular, geostationary, sun-synchronous
orbits, Period of revolution, Kepler laws
4- Introduction to the scripting language of Earth Engine. The student will
autonomously analyze remote sensing images through the Earth Engine
software
5- Introduction to image analysis, pre-processing, digital image
processing, transformations, Normalized Difference Vegetation Index (NDVI), Examples of Machine Learning in image processing.
6- Remote sensing applications in environmental sciences, in climate change detection, flood detection, deglaciation monitoring.
7- Introduction to the RADAR and Synthetic Aperture Radar, Doppler effect, spatial resolution,
geometric effects of the terrain, polarization, scattering mechanisms,
roughness of the terrain, volumetric scattering. Observations of landslides and land displacements due to earthquakes and volcanic activity.

Class room lectures and applications in Cloud Computing on the Earth Engine server: Lectures on the theoretical topics of the course with the aid of slides projected in the classroom.
Explanation of the coding in Earth Engine covering satellite image time series construction, image analysis, some applications of image processing and information retrieval. Presentation of sample coding and its detailed description.

The students are required to work on their own pc.

Oral exam with discussion of assigned exercises. The oral examination is
aimed at evaluating both the student's knowledge of theoretical
arguments and his ability to work on an interesting case study chosen by
the student in accordance with the teacher by using the Remote sensing
images through the means of Earth Engine scripting. The results are presented by the student at the oral exam with a slide presentation. The final positive evaluation
will be expressed with a final examination mark between grade 18 and 30 with honors.
The assessment is based on:
Knowledge of the theoretical part of the course, including theory of satellite orbits, the theory of multispectral acquisitions and material reflectivity, theory of RADAR acquisition and surface interaction, the numerical methods to define information content.
Degree of understanding of the coding in earth engine scripts
the clarity and completeness of the presentation slides and the oral presentation. The slides should document the coding scripts.

This course explores topics closely related to one or more goals of the United Nations 2030 Agenda for Sustainable Development (SDGs)