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University of Washington, Shean Geospatial
- Seattle, WA
- https://www.ce.washington.edu/facultyfinder/david-shean
- http://dshean.github.io
Highlights
- Pro
Stars
Python application based on KLT Algorithm for Registration of Images from Observing Systems (KARIOS)
Open alternative to the Google Elevation API!
A 0.6-meter resolution canopy height model for the contiguous United States using NAIP imagery.
Historical Images for Surface TOpography Reconstruction over the last 50 Years
A fast image processing library with low memory needs.
A versatile framework for GEDI geolocation correction at multiple correction modes and criteria.
Scrape all acquisitions from the Capella, Umbra, and ICEYE open data STAC catalogs and store as geoparquets. Updated weekly
Post-processing method based on the temporal closure to fuse multi-temporal and multi-sensor velocity measurements, which may have been computed from different processing chains.
Multiview matching with deep-learning and hand-crafted local features for COLMAP and other SfM software. Supports high-resolution formats and images with rotations. Both CLI and GUI are supported.
Algorithms and utilities for Synthetic Aperture Radar (SAR) sensors
Contains materials for the 2025 Technical Short Course: InSAR Processing and Analysis (ISCE+)
QGIS is a free, open source, cross platform (lin/win/mac) geographical information system (GIS)
PySensors is a Python package for sparse sensor placement
Monitor the Umbra open data catalogue and provide a KML file for finding coverage
Auxiliary DB for PROJ with beta data from NATRF2022 and friends
Tools to process airborne and satellite LiDAR point clouds
A QGIS plugin to make it easier to stream data from large GeoParquet 1.1 datasets with BBOX.
OpenTopography / RiverREM
Forked from klarrieu/RiverREMMake river relative elevation models (REM) and REM visualizations from an input digital elevation model (DEM).
Repository to search and download data from the USGS database, using the USGS M2M.
This repo contains the code for fully automated SAR based glacier monitoring pipeline which generates a 12 days separated time-series velocity maps.
Global Ensemble Digital Terrain modeling and parametrization at 30~m resolution (GEDTM30)
DeepDEM: Digital Elevation Model refinement using deep learning
Calculates multi-scale geomorphometric terrain attributes from regularly gridded DEM/bathymetry rasters.
Scripts and notebooks to visualize output from the NASA Ames Stereo Pipeline