Lake Chapala change detection using time series

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