Análisis multitemporal de cambios en la cubierta vegetal mediante el uso de imágenes satelitales en los páramos de Zumbahua provincia de Cotopaxi en el período 2020-2021.
The Páramo is an ecosystem of great importance due to its abundant biodiversity and numerous ecological, social, cultural, and economic benefits. However, its high vulnerability and permanent anthropic threats have become a problem for the community, which has led to the search for non-destructive m...
שמור ב:
| מחבר ראשי: | |
|---|---|
| מחברים אחרים: | |
| פורמט: | bachelorThesis |
| שפה: | spa |
| יצא לאור: |
2021
|
| נושאים: | |
| גישה מקוונת: | http://repositorio.utc.edu.ec/handle/27000/11226 |
| תגים: |
הוספת תג
אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!
|
הוספת תג | סיכום: | The Páramo is an ecosystem of great importance due to its abundant biodiversity and numerous ecological, social, cultural, and economic benefits. However, its high vulnerability and permanent anthropic threats have become a problem for the community, which has led to the search for non-destructive methods that allow continuous monitoring to know with certainty the increase of the agricultural frontier. Multitemporal analysis of 5 years of study was carried out in the following work, using five satellite images. In 2017 and 2018, two images were from the Raster Satellite in July 2016, 2019, and 2020 in August. It was gotten three images from the Sentinel 2 Satellite through the web portal Eo browser to view and download atmospherically corrected images for free. The same ones were selected by evaluating the visual quality of each image, with an admissible percentage of cloudiness less than 25%. However, it is necessary to correct the lags in these images, and for this, we have used the QGIS software and the GDAL georeferencing plug-in, with which clean images will be obtained. Moreover, in the same software using the SCP plug-in, supervised. Unsupervised classifications were made to show evidence of the advance of the agricultural frontier in the moorlands of Zumbahua. |
|---|