6533b832fe1ef96bd129a459
RESEARCH PRODUCT
Detection of a reservoir water level using shape similarity metrics
Gino DardanelliAntonino MalteseFulvio CapodiciClaudia PipitoneGoffredo La LoggiaMauro Lo Bruttosubject
Similarity (geometry)water surfaceMatching (graph theory)Computer science0211 other engineering and technologies0507 social and economic geography02 engineering and technologyPosition (vector)Digital elevation model021101 geological & geomatics engineeringbusiness.industry05 social sciencesSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaDEMPattern recognitionWater levelWater levelContour lineSatelliteEnhanced Data Rates for GSM EvolutionArtificial intelligencebusiness050703 geographyLandsatSettore ICAR/06 - Topografia E CartografiaSARdescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2017-11-02 |