#1142: vgi, machine learning, capture, bridges

Tue, 30 Jul 2019, last check: Wed, 26 Aug 2026. Post history

vgi Three different reports from 2011, 2012, and 2019, compare the quality of Volunteer Geographic Information (VGI) and their official counterpart
https://www.nosolosig.com/
machine learning Good prospects for deep and machine learning applied to the generation and management of geospatial information for HOT and OSM
https://www.hotosm.org/updates/the-machine-learning-enabler/ | archive.org
capture High-speed, fast, and accurate photogrammetric reconstruction uses imagery and point clouds for cartography and other sectors
https://www.epicgames.com/id/api/login?client_id=4f752036557b4971a3e7f1a429f35e0a&redirect_uri=https%3A%2F%2Fwww.realityscan.com%2Fauth%2Fcallback&response_type=code&state=LQjggPsuvl16_tyNY3hcxaB35Ye3A8qN6xiZtsKWqgo&prompt=none
bridges High-precision satellite imagery and a new algorithm allow measuring structure movements to predict bridge and other buildings collapse
https://www.eurekalert.org/pub_releases/2019-07/uob-nhs070919.php | archive.org

Raf