REMOTE PERCEPTION APPLIED TO THE FOLLOWING OF DETRITUS PLUMES IN BAHÍA DE BANDERAS, JALISCO-NAYARIT, MEXICO
Remote sensing is a very efficient alternative with regard to the monitoring of detritus plumes and organic pollutants. Colorimetry and unsupervised classification methods outline these plumes, which can be vectorized and their evolution traced with respect to time and space. In practice, this lower...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2019 |
| País: | México |
| Institución: | UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO |
| Repositorio: | Revista Internacional de Contaminación Ambiental |
| Idioma: | español |
| OAI Identifier: | oai:ojs.pkp.sfu.ca:article/53087 |
| Acceso en línea: | https://www.revistascca.unam.mx/rica/index.php/rica/article/view/RICA.2019.35.03.12 |
| Access Level: | acceso abierto |
| Palabra clave: | clasificación no supervisada colorimetría Landsat Modis non-supervised classification colorimetry |
| Sumario: | Remote sensing is a very efficient alternative with regard to the monitoring of detritus plumes and organic pollutants. Colorimetry and unsupervised classification methods outline these plumes, which can be vectorized and their evolution traced with respect to time and space. In practice, this lowers the cost of research and allows for greater spatial and temporal coverage. This work presents the case study of Bahía de Banderas, Jalisco-Nayarit, Mexico, where the detritus discharge by the Ameca river in the period 2006-2014 was studied through a combined product of Landsat and Modis images. |
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