Exploring Planet Labs' open hyperspectral satellite imagery data, including setup and analysis using Python, GDAL, and DuckDB.
A researcher shares progress on the PRISM project, an MSCA-PF grant focused on validating spatial patterns in machine learning for remote sensing.
An overview of ICEYE's Synthetic Aperture Radar (SAR) satellite fleet, its imaging capabilities, and launch history.
Explores using Umbra Space's Synthetic Aperture Radar (SAR) satellites and the SARDet-100K dataset to detect aircraft, especially those with transponders off.
An overview of Capella Space's SAR satellite fleet and a guide to accessing and analyzing their freely available satellite imagery.
A technical guide on training a ship detection model using YOLOv5 on Umbra's high-resolution Synthetic Aperture Radar (SAR) satellite imagery.
A technical analysis of Maxar's high-resolution global satellite imagery basemap, examining 60GB of data across 11 cities using GDAL, Python, and DuckDB.
A technical guide on downloading and analyzing free Synthetic Aperture Radar (SAR) satellite imagery from Umbra's open data program.
A technical guide on accessing, processing, and visualizing free LiDAR data, using Estonia's national scans as a practical example.
A review of Esri's 'Imagery in Action' MOOC, covering satellite imagery analysis, drone mapping, and predictive modeling with ArcGIS tools.
Introduces GeoPAT 2, an open-source software for pattern-based spatial and temporal analysis of categorical maps like land cover.
An overview of Machine Learning applications in Remote Sensing, covering key algorithms and the typical workflow for data analysis.
