#1142: vgi, machine learning, capture, bridges
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Three different reports from 2011, 2012, and 2019, compare the quality of Volunteer Geographic Information (VGI) and their official counterpart
http://www.nosolosig.com/articulos/1078-midiendo-la-calidad-de-la-informacion-geografica-voluntaria-openstreetmap-vs-cartografia-oficial -
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/ -
High-speed, fast, and accurate photogrammetric reconstruction uses imagery and point clouds for cartography and other sectors
https://www.capturingreality.com/Home -
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
Raf