Clasificación de la linea costera de la isla Santa Cruz, Galápagos a partir imágenes satelitales
The Galapagos Archipelago is a natural laboratory in which coastal zone are developing special ecological environments, and where are carrying outimportant human activities for the ecuadorian economy. In order to manage these coasts, it is required an adequate classification of its reliefs which permit us to identify natural areas where certain biological species could develop, as well as to identify its possible use for human activities. However, the lack of information on the islands, due to the extension and to the difficulties to access to some areas, it is required to apply the use of remote sensors and geographic information systems (GIS) to obtain this coastal classification. For getting this goal in the Santa Cruz island we used a remote sensing image from the Sentinel 2A, with a combination of bands RGB 12, 4, 2. This data, in addition to the satellite image with high spatial resolution shown in the Google Earth, as well as with a vectorial data provided by Charles Darwin Foundation, allowed us to realize a coastal morphological classification of the island. From this work we identified high coastal zones, formed by cliff and rocky areas, as well as low-flat coasts formed by mangroves and beaches. From this work we determined that the Santa Cruz Island is composed by 47% of rocky and cliff sareas, and with 53% of beaches and mangroves. This morphological coast classification of the Santa Cruz Island have been integrated in a GIS, giving an important resources for the coastal management of the island. Finally, we propose an analysis about the influences of different variables that could model the coastal relieve of the Santa Cruz island
Main Authors: | , , |
---|---|
Other Authors: | |
Format: | Journal Contribution biblioteca |
Language: | Spanish / Castilian |
Published: |
2018
|
Subjects: | Coastal morphology, Remote sensing, GIS, |
Online Access: | http://hdl.handle.net/1834/15422 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|