2020
DOI: 10.1088/1757-899x/949/1/012104
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Geomatics techniques for the 3D survey of the Arno River to support hydraulic studies

Abstract: This paper presents the geomatic contribution to the hydrographical survey applied to the Arno River in Tuscany (Italy) that has been performed to obtain both underwater cross-sections as well as riverbank height using point cloud data from echo-sounder and terrestrial laser scanner so that water flow storage capability could be further estimated with high accuracy. The control network and ground control points design, measurement and adjustment are presented, describing the solutions adopted to face the speci… Show more

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“…Detection of macro-plastics in fluvial habitats shall enable their recovery before they reach marine environments. Unfortunately, studies on this kind of detection and recovery system are still quite embryonal, and, in fact, only 20% of global studies about rivers concerns problems related to macro-plastics (Blettler et al, 2019), whereas most of them are concerning other problems (Aminti et al, 2020). Most of the research works on plastic waste detection only exploits Infrared bands (from 900nm to 1700 nm), in particular NIR (Near InfraRed) and SWIR (Short-Wave InfraRed), because these parts of the electromagnetic spectrum are not influenced by the object colour (Salzer and Heinz, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…Detection of macro-plastics in fluvial habitats shall enable their recovery before they reach marine environments. Unfortunately, studies on this kind of detection and recovery system are still quite embryonal, and, in fact, only 20% of global studies about rivers concerns problems related to macro-plastics (Blettler et al, 2019), whereas most of them are concerning other problems (Aminti et al, 2020). Most of the research works on plastic waste detection only exploits Infrared bands (from 900nm to 1700 nm), in particular NIR (Near InfraRed) and SWIR (Short-Wave InfraRed), because these parts of the electromagnetic spectrum are not influenced by the object colour (Salzer and Heinz, 2014).…”
Section: Introductionmentioning
confidence: 99%