Land use/land cover changes and flooding surface estimation in Alqueva (Portugal) using 18 years of Landsat data

Ana Teodoro; Sofia Rios; Dário Ferreira

doi:10.1117/12.897517

26 October 2011 Land use/land cover changes and flooding surface estimation in Alqueva (Portugal) using 18 years of Landsat data

Ana Teodoro, Sofia Rios, Dário Ferreira

Author Affiliations +

Proceedings Volume 8181, Earth Resources and Environmental Remote Sensing/GIS Applications II; 818118 (2011) https://doi.org/10.1117/12.897517
Event: SPIE Remote Sensing, 2011, Prague, Czech Republic

Abstract

Alqueva dam was projected for the gorge of Guadiana River (Portugal) and resulted in the creation of the Europe's largest artificial lake with a flooding surface of 25,000 ha. Landsat imagery can be used for detecting terrestrial land cover conditions. In this work, 18 years of Landsat data, covering the period between 1992-2009 were used. The land use/land cover rates and flooding surface estimation were based on image classification algorithms (pixel-based and object-oriented approaches). The Landsat images are all from April and were already geometrically corrected. The selection of land-use classes is based on the Corine land cover nomenclature. In the pixel-based classification three supervised classification algorithms were applied to the dataset. The pixel-based classification algorithms presents a very good performance, demonstrated by the results of the overall accuracy (>91.55%) and Kappa statistics (>0.90). In the object-oriented approach, the region growing segmentation method was applied followed by the unsupervised Mahalanobis classification algorithm. Lastly, an estimation of the flooding surface was performed and land cover/land use maps were produced. GIS techniques were also used to quantify the land/use change rates and to compute the flooding surface increase (14,000 ha in 1992 and 23,000 ha in 2009).

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Ana Teodoro, Sofia Rios, and Dário Ferreira "Land use/land cover changes and flooding surface estimation in Alqueva (Portugal) using 18 years of Landsat data", Proc. SPIE 8181, Earth Resources and Environmental Remote Sensing/GIS Applications II, 818118 (26 October 2011); https://doi.org/10.1117/12.897517

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