Combined use of RADARSAT-1 and landsat TM data for geomorphological applications in lowlands of Buenos Aires Province, Argentina
The main objective of this research is to generate information to model the present and past geomorphology of the area. Image analysis techniques are among the best tools for geomorphological mapping in the area, since the main landforms (paleodunes and drainage features) are barely visible on the g...
| Autores: | , , , |
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| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2014 |
| País: | Argentina |
| Recursos: | Consejo Nacional de Investigaciones Científicas y Técnicas |
| Repositorio: | CONICET Digital (CONICET) |
| Idioma: | inglés |
| OAI Identifier: | oai:ri.conicet.gov.ar:11336/10452 |
| Acesso em linha: | http://hdl.handle.net/11336/10452 |
| Access Level: | acceso abierto |
| Palavra-chave: | Radarsat Landsat Tm Geomorphology Argentina https://purl.org/becyt/ford/2.7 https://purl.org/becyt/ford/2 |
| Resumo: | The main objective of this research is to generate information to model the present and past geomorphology of the area. Image analysis techniques are among the best tools for geomorphological mapping in the area, since the main landforms (paleodunes and drainage features) are barely visible on the ground because of their low relief and dense grass cover. Wide Swath Mode Beam W2 RADARSAT-1 images were fused with a Landsat TM image. Three main geomorphic units were differentiated: Tandilia Range, Aeolian Fringe (marginal to the Tandilia Range) and the Fluvio-Aeolian Plain. Best results were obtained from the integration of RADARSAT-1 during dry periods and Landsat data during wet periods, especially in the Fluvio-aeolian Plain. It corresponds to a landscape of very low relief (slope<1%) characterized by longitudinal and parabolic silt dunes and linked deflation ponds and lunettes. A drainage system made up of short subparallel streams is superimposed on the relic landscape. The aeolian landforms had never been recognized until these images were analyzed because of the topographic and soil moisture contrasts, which provide the most detailed information. The Landsat TM data provide excellent information concerning land use, however the geomorphologic landforms were only recognized on the RADARSAT images. |
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