[Ráfaga]Nº1142: vgi, machine learning, capture, bridges

[Jorge Sanz]

Nº1142: vgi, machine learning, capture, bridges

Tue, 30 Jul 2019 by Raf

* 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

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