Australian Coastline Imagery
Analyzing Australia's coastal imagery using satellite data, Python, GDAL, DuckDB, and QGIS on a high-performance workstation.
Analyzing Australia's coastal imagery using satellite data, Python, GDAL, DuckDB, and QGIS on a high-performance workstation.
A technical walkthrough of running Apple's DepthPro depth estimation model on high-resolution Maxar satellite imagery of Bangkok.
A review of Building Regulariser, a Python package that improves AI-generated building footprints from satellite imagery by making outlines more regular and plausible.
A technical guide applying the Depth Anything V2 AI model to analyze high-resolution Maxar satellite imagery of Bangkok for depth estimation.
A technical guide on using the GeoDeep Python package to run AI object detection models on Maxar's satellite imagery, focusing on earthquake-affected areas.
Analysis of Satellogic's satellite constellation and their new open Earth observation data feed, including the technical setup for data processing.
Explores using WebP compression to reduce filesize of high-resolution satellite imagery from Planet Labs' SkySat constellation.
Analyzing ORNL's AI-generated dataset of 131 million US building footprints, including download, setup, and technical analysis.
A technical guide on processing Overture Maps' global land cover dataset, focusing on extracting and analyzing Australia's data using DuckDB and QGIS.
Exploration of Microsoft's 1.4 billion global building footprint dataset, created via ML on satellite imagery, including setup and analysis steps.
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 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, downloading, and analyzing Maxar's freely available satellite imagery from their Open Data Programme using tools like GDAL, Python, and DuckDB.
A technical guide on using Meta AI's Segment Anything model to perform object segmentation on satellite imagery from Maxar.