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Analysis of Methods to Detect Changes in Coverage fromWater Reservoirs of the Pao River Basin, Venezuela
Abstract
In this paper, four methods of detecting changes in land use and coverage are applied to three reservoirs on the Pao river basin, Carabobo and Cojedes States, Venezuela: 1) difference of reflectance images, 2) reflectance images ratio, 3) difference of index images of vegetation and 4) difference of images of principal components. Eight Landsat satellite images corresponding to L5TM (1986, 1991, 2001), 2) L7ETM (2000, 2002, 2003) and 3) L8OLI (2015 and 2016) are used. The bitemporal change detection methods are: the difference in reflectance in the near-infrared region, the normalized difference in vegetation index, the principal components based on reflectance in the optical and infrared spectral regions and the reflectance ratio in the near infrared region. The global accuracy index varies between 86.67 and 100%, the Kappa coefficient between 0.6 and 1. The water quality changes are estimated in terms of the presence of only sediments, a mixture of sediments and algae; coverage from water to vegetation; the reflectance in the near infrared region and the concentration of sediments vary between 1 and 3%; 50 to 100 mg / l; 0.5 and 1%; 50 to 250 mg / l; an increase from 1% to 40%, respectively.
References
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