CDE Projects

Projects & Assignments

Assembly of projects and assignments executed during CDE Master

First Semester

Paris-Lodron University of Salzburg, Austria

Displacement Analysis of a Earthquake with RADAR Data

Analysis of the displacement in Atacama-Chile, due earthquake by using SAR image and techniques with SNAP tools.

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Image Segmentation with ECognition

Understanding the segmentation algorithms already implemented in Ecognition software by Trimble.

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Land Use Land Cover Classification with Machine Learning

Clasifying a scene using OBIA approach and Support-Vector Machine within Ecognition.

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Spatial Database Implementation Project

Design and implementation of a spatial database system for an multicultural event on the North of Portugal.

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Spatial Analysis - Network Analysis

Application of spatial statistics methods and networks related tools for urban planning and mobility at the city of Salzburg - Austria.

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Watershed Analysis

A spatial analysis of a watershed, considering terrain properties and hydrology approach. The watershed is located at Zederhaus, Austria.

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Object Detection in Aerial Imagery

Implementation of deep learning algorithms for detecting and classifying objects in high-resolution aerial imagery.

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Multi-scale Segmentation for Land Cover Classification

Development of object-based image analysis workflows for land cover classification using segmentation techniques with Open-Source techniques and notebooks.

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easyREM - A package in R.

Development of a package in R to facilitate users with the creation Relative Elevation Models.

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Analysis Ready Data

Understanding Analysis Ready Data (ARD) over the context of Earth Observation.

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Data Cubes - The Semantic Austrian Data Cube

A review of the Semantic Austrian Data Cube and development of a earth observation time-series application.

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Google Earth Engine

A case study of the Valencia`s flood event in September-2024.

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EO Browser

Multispectral Sentinel imagery analysis with multiple index at the Valencia's lake and flood event on September/2024.

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Second Semester

Paris-Lodron University of Salzburg, Austria

Deep Learning for Land Cover Classification

Implementation of convolutional neural networks for multi-class land cover classification using Sentinel-2 imagery.

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Time Series Forecasting for Crop Yield Prediction

Application of LSTM networks to predict crop yields based on multi-temporal satellite indices and meteorological data.

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Third Semester

University of Salzburg (PLUS), Austria

Master Thesis

Culmination of Research and Application

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