BECAS
BRARDA Carolina Antonella
congresos y reuniones científicas
Título:
Aplicación de geotecnologías de libre distribución para el estudio del sitio RAMSAR "Delta del Paraná": experiencia de la cátedra SIG (UADER).
Autor/es:
BAEZA, NOELI; ALBISU, IGNACIO; BILBAO, RAUL; BRARDA. CAROLINA; DIEDERLE, SOLANGE ; HASENAHUER CYNTHIA; MARTINEZ MARTINEZ, CAMILA; PEREZ D´AGOSTINO, CECILIA; REYES, ESTEFANÍA; RÍOS, JESICA EVELYN ; SHWEMLER, SUSANA ; ZAPPALA, MARÍA FERNANDA ; QUIGNARD, IGNACIO; ZAMBONI, PAMELA
Lugar:
Puerto Iguazú
Reunión:
Simposio; XVII Simposio Internacional SELPER; 2016
Institución organizadora:
Universidad Autónoma de Entre Ríos/Universidad de Lujan/ Sociedad Latinoamericana de Percepción remota y Sistemas de Información Espacial
Resumen:
Geographic Information Systems (GIS) is a course held in the fourth year of a degree in Biology, and integrates disciplinary, and methodological, knowledge applied to environmental management using SIG and remote sensing. The completed is theoretical practical. The purpose of the subject is to promote training in the use of free software, techniques geographic data processing and generation of thematic information. In this context the objective of this work is to apply techniques of GIS and remote sensing to the Ramsar ?Delta del Parana? site and obtain thematic mapping of land cover generating material for further studies, such as land use since this agreement states that can establish sustainable use of resources.We worked with free software Quantum Gis, SNAP and free -office. They were downloaded and imported into the program Q Gis free distribution data: GIS vector 250 (IGN), a vector boundary Ramsar site provided by teachers, and an image sensor SENTINEL 2 A (Date: 15/04/2016) downloaded from the European Space Agency (ESA). Image (band 1 to 8) was imported, trimmed selecting a region that included the Ramsar site. By image analysis / K -means cluster analysis tool was classified image with the following parameters: number of classes (10) iterations (30), input and output directories, format (geotiff), bands (8). A map of land cover classification, identifying land cover (water, timberline, herbaceous vegetation and soil low coverage) was obtained as a result.The classification map was imported to Qgis and re-projected to the reference system (2007 POSGAR band 5) generating a project where the layers were integrated. With designer thematic mapping maps was constructed incorporating the key elements. From the pedagogical point of view, it met the purpose of the matter because as students we use, analyze and learn GIS and Remote Sensing techniques and apply them to a regional case study.