Paper
5 August 2013 Potential of remote sensing techniques to improve the agriculture water footprint assessment and the virtual water trade accounting
Leonidas Toulios, Mireia Romaguera, Eman Calleja, Gheorghe Stancalie, Argentina Nertan, Piotr Struzik, Anna Dalla Marta, Ana Maria Tarquis Alfonso, Zoltan Dunkel, Jose Rato Nunes, Francesco Vuolo
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Proceedings Volume 8795, First International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2013); 879506 (2013) https://doi.org/10.1117/12.2027568
Event: First International Conference on Remote Sensing and Geoinformation of Environment, 2013, Paphos, Cyprus
Abstract
Remote sensing (RS) has long been a useful tool in global and regional applications. The Water Footprint (WF) of a crop is defined as the volume of water consumed for its production, where green and blue WF stand for rain and irrigation water usage. RS provides new tools for global WF assessment and represents an innovative approach to regional and global irrigation mapping, enabling the estimation of green and blue water use. This paper presents an overview of the EU COST Action ES 1106 "Assessment of European agriculture water use and trade under climate change (EURO-AGRIWAT)", regarding the evaluation of the potential of remote sensing to improve the WF and Virtual Water Trade (VWT) assessment. The main objective is the analysis of the role of satellite data in the suitable models and indices concerned with the analysis of WF and VWT. The main tasks include: an inventory of the existing and near future satellite data records for several European regions that could be used for the WF and VWT assessment; the study of satellite data resolution requirements, in time and space; the analysis of the assimilation of satellite data into models for the determination of green and blue water use; conclusions and recommendations concerning the possibility to integrate remote sensing into WF and VWT accounting. The combination of RS data to assess the volume of irrigation applied, and the green and blue WF faces several limitations with respect to discrepancies in spatial and temporal resolution and data availability, which will be studied.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Leonidas Toulios, Mireia Romaguera, Eman Calleja, Gheorghe Stancalie, Argentina Nertan, Piotr Struzik, Anna Dalla Marta, Ana Maria Tarquis Alfonso, Zoltan Dunkel, Jose Rato Nunes, and Francesco Vuolo "Potential of remote sensing techniques to improve the agriculture water footprint assessment and the virtual water trade accounting", Proc. SPIE 8795, First International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2013), 879506 (5 August 2013); https://doi.org/10.1117/12.2027568
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KEYWORDS
Remote sensing

Satellites

Data modeling

Agriculture

Vegetation

Soil science

Microwave radiation

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