A list of clients and projects, in alphabetical order
High resolution aerial image processing in the cloud (or on your own machinery) using Python and GDAL, April to July 2019.
Antarctic Climate and Ecosystems Cooperative Research Centre (ACE-CRC)
Various projects here: https://www.spatialised.net/category/ace-crc/
Australian National University Water and Landscape Dynamics (WALD)
Projects here: https://www.spatialised.net/category/anu-wald/
Australian Plant Phenomics Facility (APPF)
Technology summary and architecture report on an open source stack for processing, storage, retrieval and visualisation of research drone data. Published in July 2020: https://doi.org/10.6084/m9.figshare.12799970.v1
July 2019 – February 2020: investigating aerial imagery QA automation using open tooling.
January – March 2019: completed a small project on hydrographic survey quality assessment, described in this post: A small hydrographic data QA project
Projects here: https://www.spatialised.net/category/spatial-scientific/
Project partially described here: https://www.spatialised.net/experiments-with-anafi/.
Also resulted in dockerised PotreeConverter using liblaszip and a proof-of-concept using dockerised OpenDroneMap for end-to-end image to point cloud octree conversion.