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Kongstad/README.md

Peter Kongstad

Remote Sensing Specialist and Geospatial Data Engineer at Agreena. I design and build production systems that process satellite data at scale, integrating multi-sensor observations with ground truth to deliver monitoring products for agriculture.

Most of my professional work lives in private repositories. I'm building portfolio projects here to demonstrate similar technical capabilities using public data.

Technical Stack

Infrastructure & Engineering STAC, PySTAC, odc-stac, FastAPI, AWS (S3, EC2), Ray Anyscale, Docker, Python

Remote Sensing & Analysis Sentinel-1/2, Landsat, MODIS, LiDAR, land cover/land use data, deforestation datasets, water/hydrology data, xarray, rasterio, GDAL

Machine Learning & AI PyTorch, scikit-learn

Portfolio Projects

Released

  • sat-data-acquisition - Lightweight Python package for downloading satellite imagery from multiple STAC sources with a standardized API (Available on PyPI)

In Development

Building open-source projects demonstrating production geospatial engineering:

  • React-based satellite imagery visualization
  • Multi-temporal NDVI analysis with statistical methods
  • Land cover classification using machine learning
  • LiDAR-derived terrain and hydrological analysis
  • Kubernetes and Terraform infrastructure

Professional Background

MSc Geoscience from University of Copenhagen.

Agreena (2022-present): Satellite data infrastructure, MRV systems, and agricultural monitoring products. Built STAC-native platforms, rotation-bias-corrected productivity analysis, multi-modal analysis pipelines, and LLM-powered agricultural insights.

QEye (2019-2022): QI Geophysicist, data scientist, and project manager. Time series analysis and software prototyping for geophysical applications across Copenhagen, Australia, and Malaysia.

Contact

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

Copenhagen, Denmark (relocating to Seattle, End of 2026)

Pinned Loading

  1. sat-data-acquisition sat-data-acquisition Public

    STAC-native satellite data acquisition tool for local earth observation workflows. Designed for personal use and desktop computing environments.

    Python

  2. LiDAR_machinelearning LiDAR_machinelearning Public

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

    Jupyter Notebook

  3. Delphini-1-Satellite-Control-Software Delphini-1-Satellite-Control-Software Public

    Python scripts for managing satellite info.

    HTML 1

  4. Master-thesis-code Master-thesis-code Public

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

    Jupyter Notebook

  5. DEM_from_S1_SAR_data DEM_from_S1_SAR_data Public

    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 Digita…

    3

  6. S1_SAR_Glacier_movement S1_SAR_Glacier_movement Public

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