Welcome

Hi, my name is Peter, thanks for stopping by my portfolie! Here you will find projects from my university time and experimental projects dabbling with earth observation data. All work related repos are under lock and key and I can unfortunately not show what I mainly work on. Therefore most content on here is old.

Education: Bachelor and Masters degrees in Geoscience
Job: Remote Sensing Scientist at Agreena

Skillset and interests:

Remote sensing
Earth observation
Python
GIS
Planetary science
Modelling
Data science

Satellite data experience:

LiDAR
Multi Spectral Imaging (Sentinel-2 etc.)
SAR (Sentinel-1 etc.)
Delphini-1 (1U-Cubesat I built during university)

Contact information:

Email: [email protected]
LinkedIn: https://www.linkedin.com/in/p-kongstad/

Peter Kongstad's Projects

deepgold

DeepGold using convolution network features to learn mineral data

dem_from_s1_sar_data

Obtaining DEM's from Sentinel-1 SAR data through SNAP toolbox. This repository does not contain any python code and is rather a demonstration of the retrieval and usage of SAR data to create Digital Elevation Models

eo-learn

Earth observation processing framework for machine learning in Python

geo_project_tensorflow

Repository for semester course on using TensorFlow for image recognition of satellite imagery.

lidar_machinelearning

Using QGIS, Python and LiDAR data from Copenhagen as input to test several machine learning methods

master-thesis-code

Github containing python code written as a part of my master thesis pipeline. Pip Freeze file for module control is listed in requirements.txt

s1_sar_glacier_movement

Using Sentinel-1 SAR GRD data to visualize glacial movement on Eastern Greenland via SNAP and Google Earth Pro

vegetation_analysis

This repository takes you through the use of multi spectral satellite data for analysis of vegetation health and investigates the use of machine learning in order to detect structures in the various spectral bands