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Assessing Crop Water Demand by Remote Sensing and GIS for the Pontina Plain, Central Italy

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  • Raffaele Casa
  • Matteo Rossi
  • Giuseppe Sappa
  • Antonio Trotta

Abstract

An estimation of the crop water requirements for the Pontina Plain, Central Italy, was carried out through the use of remote sensing land classification and application of a simple water balance scheme in a GIS environment. The overall crop water demand for the 700 km 2 area was estimated at about 70 Mm 3 year − 1 , i.e. 100 Mm 3 year − 1 irrigation requirements when considering an average irrigation application efficiency of 70%. The simplest and least demanding available methodology, in terms of data and resources, was chosen. The methodology, based on remote sensing and GIS, employed only 4 Landsat ETM+ images and a few meteorological and geographical vectorial layers. The procedure allowed the elaboration of monthly maps of crop evapotranspiration. The application of a spatially distributed simple water balance model, lead to the estimation of temporal and spatial variation of crop water requirements in the study area. This study contributes to fill a gap in the knowledge on agricultural use of water resources in the area, which is essential for the implementation of a sustainable and sound water policy as required in the region for the application of the EU Water Framework Directive. Copyright Springer Science+Business Media B.V. 2009

Suggested Citation

  • Raffaele Casa & Matteo Rossi & Giuseppe Sappa & Antonio Trotta, 2009. "Assessing Crop Water Demand by Remote Sensing and GIS for the Pontina Plain, Central Italy," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(9), pages 1685-1712, July.
    • Handle: RePEc:spr:waterr:v:23:y:2009:i:9:p:1685-1712
    DOI: 10.1007/s11269-008-9347-4
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    References listed on IDEAS

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    2. Claudia Giardino & Mariano Bresciani & Paolo Villa & Angiolo Martinelli, 2010. "Application of Remote Sensing in Water Resource Management: The Case Study of Lake Trasimeno, Italy," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(14), pages 3885-3899, November.
    3. Segovia-Cardozo, Daniel Alberto & Rodríguez-Sinobas, Leonor & Zubelzu, Sergio, 2019. "Water use efficiency of corn among the irrigation districts across the Duero river basin (Spain): Estimation of local crop coefficients by satellite images," Agricultural Water Management, Elsevier, vol. 212(C), pages 241-251.
    4. Corbari, Chiara & Salerno, Raffaele & Ceppi, Alessandro & Telesca, Vito & Mancini, Marco, 2019. "Smart irrigation forecast using satellite LANDSAT data and meteo-hydrological modeling," Agricultural Water Management, Elsevier, vol. 212(C), pages 283-294.
    5. Ivars Reinfelds, 2011. "Monitoring and Assessment of Surface Water Abstractions for Pasture Irrigation from Landsat Imagery: Bega–Bemboka River, NSW, Australia," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(9), pages 2319-2334, July.

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