Abstract
Different techniques and methods are available to detect water losses in irrigation canals. Traditional field survey methods (hydrological-hydrogeological and geophysics) are accurate but costly for regional studies. Remote sensing is a relative recent analysis and has been proposed as a promising quick and cost-effective methodology for determining, together with the traditional ones, the location of water losses. The paper presents a new multidisciplinary approach based on remote sensing and traditional field surveys for seepage identification in irrigation canal networks. It was conducted in the Naviglio di Bra, NW Italy. Multispectral images that combines visible and infrared sensors have been used to collect image data over the whole irrigation district. The images have been pre-processed and analyzed using ENVI software. After this first step, field hydrological-hydrogeological campaigns were performed to obtain image analysis feedback and losses quantification. This research established a satellite multispectral remote sensing method that provides high-resolution imaging data and detects leaks, and determines potential seepage of irrigation canals. Such technology would have widespread application in screening larger areas.
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References
Clemente P, De Luca DA, Dino GA, Lasagna M (2013) Water losses from irrigation canals evaluation: comparison among different methodologies. Geophys Res Abst 15:EGU2013–9024, 2013, EGU General Assembly 2013
DigitalGlobe (2009) The benefits of the 8 spectral bands of WorldView-2. White Paper
Hotchkiss RH, Wingert CB, Kelly WE (2001) Determining irrigation canal seepage with electrical resistivity. ASCE J Irrig Drain 127:20–26
Huang Y, Fipps G, Maas S, Fletcher R (2005) Airborne multispectral remote sensing imaging for detecting irrigation canal leaks in the lower rio grande valley. In: 20th Biennial Workshop on Aerial Photography, Videography, and High Res. Digital Imagery for Resource Assessment October 4–6, Weslaco, Texas
Perotti L, Clemente P, De Luca DA, Dino GA, Lasagna M (2013) Remote sensing and hydrogeological methodologies for irrigation canal leakage detection: the Osasco and Fossano test sites (NorthWestern Italy). Geophys Res Abstracts 15:EGU2013–5705, 2013, EGU General Assembly 2013
Rantz SE (1982) Measurement and Computation of Streamflow vol. 1. Measurement of stage and discharge, U.S. Geological Survey Water-Supply Paper 2175, U.S. Department of the Interior, U.S. Government Printing Office, Washington, D.C
Zhou X, Jancsó T, Chen C, Wojtaszek Verőné (2012). Urban land cover mapping based on object oriented classification using worldview-2 satellite remote sensing images. In: International Scientific Conference on Sustainable Development and Ecological Footprint Sopron, Hungary, 26–27 March 2012
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Perotti, L., Lasagna, M., Clemente, P., Dino, G.A., De Luca, D.A. (2015). Remote Sensing and Hydrogeological Methodologies for Irrigation Canal Water Losses Detection: The Naviglio di Bra Test Site (NW-Italy). In: Lollino, G., Arattano, M., Rinaldi, M., Giustolisi, O., Marechal, JC., Grant, G. (eds) Engineering Geology for Society and Territory - Volume 3. Springer, Cham. https://doi.org/10.1007/978-3-319-09054-2_4
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DOI: https://doi.org/10.1007/978-3-319-09054-2_4
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