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Article . 2013 . Peer-reviewed
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Delimitación de la vegetación, los usos y las coberturas del terreno en un área de montaña tropical. El caso de la aplicación de las TIG al PN y ANMI Cotapata (Bolivia)

Authors: Sevilla-Callejo, Miguel;

Delimitación de la vegetación, los usos y las coberturas del terreno en un área de montaña tropical. El caso de la aplicación de las TIG al PN y ANMI Cotapata (Bolivia)

Abstract

[ES] El uso de las tecnologías de la información geográfica (TIG) en el análisis territorial se ha revelado con indispensable en los últimos años. En este artículo se presentan los resultados de la caracterización de la vegetación real, los usos y las coberturas de los valles andinos bolivianos sobre los que se ubica el Parque Nacional y Área Natural de Manejo Integrado Cotapata. Se trata de un espacio de montaña tropical singular con una elevada diversidad natural y una larga historia del aprovechamiento humano. Tomando como fuentes fundamentales fotografías aéreas, imágenes de satélite e información relevante recogida en campo y la integración en un sistema de información geográfica (SIG) se procedió a la caracterización espacial del territorio a través de un método de clasificación mixto. La técnica usada fue la aplicación de cuatro componentes descriptivos – cobertura, piso ecológico, intervención humana y uso – a cada una de las teselas territoriales procedentes de la segmentación multiespectral de varias escenas Landsat tomando como apoyo la información georeferenciada que previamente se había procesado. La combinación de los cuatro componentes resultó en la caracterización sintética de la vegetación, los usos y las coberturas de cada una de las teselas y, por tanto, los cimientos para comprender la organización territorial del área protegida. [EN] Nowadays GIScience techniques are essential for territorial analysis. This paper presents the results of the land use-land cover characterization of Bolivian Andean valleys where Cotapata National Park and Natural Integrated Management Area is placed. These valleys are an interesting tropical mountainous area with high natural diversity and a long history of human use. Main sources for data analyses were aerial photography, satellite images and fieldwork data, which were implemented in geographical information system (GIS). Georeferenced data and the GIS enabled a mixed approach for land classification and characterization. The used technique was based on assigning four spatial traits to land patches which were obtained by multispectral segmentation of Landsat images. The applied traits were cover, ecological belt, human intervention and use. These were obtained using previous processed georeferenced data. The trait combination resulted on a final or synthetic land use-land cover characterization which is one of the fundamental issues to solve the territorial organization of the protected area.

Este estudio fue realizado gracias a la subvención del extinto Ministerio de Ciencia e Innovación de España que sufragó una beca de investigación del autor así como diversas estancias dentro de los dos proyectos de I+D+i del departamento de Geografía de la Universidad Autónoma de Madrid (Refs. BSO2001-075 y BSO2001- 0256) El Institute of Geography and Environmental Sciences de la Universidad de Aberystwyth y el Servicio Nacional de Áreas Protegidas (SERNAP) de Bolivia contribuyeron igualmente con su infraestructura, personal y soporte. Por último, debo de agradecer a las licencias de uso de los programas de ESRI, Leica Geosystems y Definiens con los que trabajé en este artículo por impulsarme a buscar alternativas libres y que me han resultado equivalentes como GRASS, Quantum GIS o SAGA entre otros (más info. en http://www.osgeo.org/).

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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