Lake Chapala change detection using time series

Alejandra López-Caloca; Felipe-Omar Tapia-Silva; Boris Escalante-Ramírez

doi:10.1117/12.800354

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2 October 2008 Lake Chapala change detection using time series

Alejandra López-Caloca; Felipe-Omar Tapia-Silva; Boris Escalante-Ramírez

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Proceedings Volume 7104, Remote Sensing for Agriculture, Ecosystems, and Hydrology X; 710405 (2008) https://doi.org/10.1117/12.800354
Event: SPIE Remote Sensing, 2008, Cardiff, Wales, United Kingdom

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.

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Alejandra López-Caloca, Felipe-Omar Tapia-Silva, and Boris Escalante-Ramírez "Lake Chapala change detection using time series", Proc. SPIE 7104, Remote Sensing for Agriculture, Ecosystems, and Hydrology X, 710405 (2 October 2008); https://doi.org/10.1117/12.800354

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