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Proceedings Paper

Lake Chapala change detection using time series
Author(s): Alejandra López-Caloca; Felipe-Omar Tapia-Silva; Boris Escalante-Ramírez
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Paper Abstract

The Lake Chapala is the largest natural lake in Mexico. It presents a hydrological imbalance problem caused by diminishing intakes from the Lerma River, pollution from said volumes, native vegetation and solid waste. This article presents a study that allows us to determine with high precision the extent of the affectation in both extension and volume reduction of the Lake Chapala in the period going from 1990 to 2007. Through satellite images this above-mentioned period was monitored. Image segmentation was achieved through a Markov Random Field model, extending the application towards edge detection. This allows adequately defining the lake's limits as well as determining new zones within the lake, both changes pertaining the Lake Chapala. Detected changes are related to a hydrological balance study based on measuring variables such as storage volumes, evapotranspiration and water balance. Results show that the changes in the Lake Chapala establish frail conditions which pose a future risk situation. Rehabilitation of the lake requires a hydrologic balance in its banks and aquifers.

Paper Details

Date Published: 2 October 2008
PDF: 11 pages
Proc. SPIE 7104, Remote Sensing for Agriculture, Ecosystems, and Hydrology X, 710405 (2 October 2008); doi: 10.1117/12.800354
Show Author Affiliations
Alejandra López-Caloca, Ctr. de Investigación en Geografía y Geomática (Mexico)
Felipe-Omar Tapia-Silva, Ctr. de Investigación en Geografía y Geomática (Mexico)
Boris Escalante-Ramírez, Univ. Nacional Autónoma de México (Mexico)


Published in SPIE Proceedings Vol. 7104:
Remote Sensing for Agriculture, Ecosystems, and Hydrology X
Christopher M. U. Neale; Manfred Owe; Guido D'Urso, Editor(s)

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