Doctoral seminar

Course/seminar description

in construction

Objective: to master the digital processing of satellite images using Python scripts and libraries dedicated to spatial data analysis. These scripts replace or complement image processing software.

It's also to allow the replicability and reproducibility of treatments and results, essential to the open science approach.

We'll also look at how to use AI to facilitate script creation.

Bring, in addition to your usual package:

- laptop;

- smartphone;

GIS and Remote Sensing - PhD curriculum

1) Course summary: memo sheets

Organization of tutorials in Python

GIS
Work in progress	-	-	-
Work in progress	-	-	-
Remote sensing
Getting started	1.1. Change image definition and resolution	1.2. Image compression and loss of quality	1.3. Reading a color composite
	1.4. Display the histogram of a color composite	1.5. Histogram stretching and equalization	1.6. Principal Component Analysis
	1.7. Indexes (NDVI...)	1.8. Unsupervised classification	1.9. Supervised classification
Project mode	2.1. Downloading a Sentinel scene	2.2. Displaying a Sentinel scene (1st method)	2.3 Clipping in a Sentinel scene and plotting histograms
	2.4 Stretching a Sentinel scene to improve the color composite image	2.5 Creating indexes from a Sentinel scene	-
	-	-	2.9. Embed AI in the project

2) Evaluation

- To define

Results at ??/0?/2024

Details of grades for the year 2023-2024

Uploading notes:

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