The matching between reservoirs' water edge and digital elevation model's (DEM) contour lines allowed determining the water level at the acquisition date of satellite images. A preliminary study was conducted on the Castello dam (Magazzolo Lake), between Alessandria della Rocca and Bivona (Agrigento, south-Italy). The accuracy assessment of the technique was than evaluated from the comparison between classified and reference objects using similarity metrics about the shape, theme, edge and position, through the plugin STEP of open source software GIS. Moreover, an independent GIS technique was implemented to evaluate the water level, based on a distances' array between existing contour lines and nodes extracted from vectorised classification images. Results have shown the potentiality of the techniques when applied on an ideal case; advantages and disadvantages when the images are characterized by clear sky, and limits when images are acquired during not ideal atmospheric conditions.

Pipitone, C., Maltese, A., Dardanelli, G., Capodici, F., Lo Brutto, M., La Loggia, G. (2017). Detection of a reservoir water level using shape similarity metrics. In Proceedings of SPIE - The International Society for Optical Engineering (pp.00). SPIE [10.1117/12.2279268].

Detection of a reservoir water level using shape similarity metrics

Pipitone, Claudia;Maltese, Antonino;Dardanelli, Gino;Capodici, Fulvio;Lo Brutto, Mauro;La Loggia, Goffredo
2017-01-01

Abstract

The matching between reservoirs' water edge and digital elevation model's (DEM) contour lines allowed determining the water level at the acquisition date of satellite images. A preliminary study was conducted on the Castello dam (Magazzolo Lake), between Alessandria della Rocca and Bivona (Agrigento, south-Italy). The accuracy assessment of the technique was than evaluated from the comparison between classified and reference objects using similarity metrics about the shape, theme, edge and position, through the plugin STEP of open source software GIS. Moreover, an independent GIS technique was implemented to evaluate the water level, based on a distances' array between existing contour lines and nodes extracted from vectorised classification images. Results have shown the potentiality of the techniques when applied on an ideal case; advantages and disadvantages when the images are characterized by clear sky, and limits when images are acquired during not ideal atmospheric conditions.
Settore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologia
Settore ICAR/06 - Topografia E Cartografia
nov-2017
Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX
Warsaw,
2/11/2017
XIX
2-nov-2017
2017
8
Online
http://spie.org/x1848.xml
Pipitone, C., Maltese, A., Dardanelli, G., Capodici, F., Lo Brutto, M., La Loggia, G. (2017). Detection of a reservoir water level using shape similarity metrics. In Proceedings of SPIE - The International Society for Optical Engineering (pp.00). SPIE [10.1117/12.2279268].
Proceedings (atti dei congressi)
Pipitone, Claudia; Maltese, Antonino; Dardanelli, Gino; Capodici, Fulvio; Lo Brutto, Mauro; La Loggia, Goffredo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/343406
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