Share Email Print

Proceedings Paper

Land use/land cover changes and flooding surface estimation in Alqueva (Portugal) using 18 years of Landsat data
Author(s): Ana Teodoro; Sofia Rios; Dário Ferreira
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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).

Paper Details

Date Published: 26 October 2011
PDF: 12 pages
Proc. SPIE 8181, Earth Resources and Environmental Remote Sensing/GIS Applications II, 818118 (26 October 2011); doi: 10.1117/12.897517
Show Author Affiliations
Ana Teodoro, Univ. of Porto (Portugal)
Sofia Rios, Univ. of Porto (Portugal)
Dário Ferreira, Univ. of Porto (Portugal)

Published in SPIE Proceedings Vol. 8181:
Earth Resources and Environmental Remote Sensing/GIS Applications II
Ulrich Michel; Daniel L. Civco, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?