Application of remote sensing techniques to the evaluation of water consumption

Alicia Vela Mayorga; Alfonso Calera Belmonte; Miguel F. Mejuto; Santiago Castano; Jose-Reyes Ruiz Gallardo

doi:10.1117/12.332782

11 December 1998 Application of remote sensing techniques to the evaluation of water consumption

Alicia Vela Mayorga, Alfonso Calera Belmonte, Miguel F. Mejuto, Santiago Castano, Jose-Reyes Ruiz Gallardo

Proceedings Volume 3499, Remote Sensing for Agriculture, Ecosystems, and Hydrology; (1998) https://doi.org/10.1117/12.332782
Event: Remote Sensing, 1998, Barcelona, Spain

Abstract

More than 80% of the total water consumption in Mediterranean countries is used for agricultural practices. When this water comes from subterranean reservoirs (aquifers), the evaluation of extracted volumes is very complex using the traditional methods. The exploitation of subterranean waters in Span has become, in some cases, an environmental problem since it has affected highly valuable wetlands and river flows by depressing the water table levels. In this work, we introduce a methodology based on Remote Sensing and Geographic Information Systems (GIS) techniques that allows to evaluate the extracted water volumes for irrigation, with high accuracy levels and relatively low economic costs. The developed system is based on the elaboration of crop maps that are obtained from the analysis of multitemporal Landsat TM images. The used procedure is a supervised classification of images that combines maximum likelihood algorithms and decision-tree criterions. The resulting data are integrated in a GIS and crossed with the values of water volumes needed per crop. The obtained output allows quantifying not only the spatial distribution of the water consumption, but also its evolution through time.

Citation Download Citation

Alicia Vela Mayorga, Alfonso Calera Belmonte, Miguel F. Mejuto, Santiago Castano, and Jose-Reyes Ruiz Gallardo "Application of remote sensing techniques to the evaluation of water consumption", Proc. SPIE 3499, Remote Sensing for Agriculture, Ecosystems, and Hydrology, (11 December 1998); https://doi.org/10.1117/12.332782

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