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Rodalización mediante sistemas de información geográfica y sensores remotos

Authors: Rene González Murguía; Eduardo Javier Treviño Garza; Óscar Alberto Aguirre Calderón; Javier Jiménez Pérez; Israel Cantú Silva; Rahim Foroughbakhch Foroughbakhch Pournavab;

Rodalización mediante sistemas de información geográfica y sensores remotos

Abstract

Este trabajo de investigación se realizó en el ejido Pueblo Nuevo, estado de Durango, México. El objetivo es establecer una metodología para modelar y crear la división dasocrática de zonas forestales hasta nivel de subrodal. Para ello se utilizó información topográfica del Instituto Nacional de Estadística, Geografía e Informática (INEGI) escala 1:50 000 y una imagen de satélite Landsat-ETM+ del 8 de abril del 2000. A partir de la información topográfica se generó un modelo digital de elevación con resolución espacial de 15 x 15 m, y se modelaron cuencas, subcuencas, microcuencas, submicrocuencas y cauces. La imagen Landsat-ETM+ fue remuestreada a 15 x 15 m con ayuda de la imagen pancromática para obtener mayor resolución espacial. Se clasificó la imagen por medio de estadísticas supervisadas con trabajo de campo para mapear los diferentes tipos de comunidades vegetales y usos de suelo. Se digitalizaron los rodales actuales creados por los prestadores de servicios técnicos forestales del ejido para su comparación. A partir del modelo digital de elevación se generaron los modelos de pendientes y exposición, para buscar asociación comparativa con los polígonos de rodales actuales. Se comparó la distribución de comunidades vegetales clasificadas contra el modelo de exposición para determinar patrones preferenciales de distribución. Los rodales modelados fueron obtenidos de la integración de las submicrocuencas modeladas y del modelo de patrones preferenciales de distribución de la vegetación. Y los subrodales fueron generados de la integración de los rodales modelados y de la clasificación de tipos de vegetación de la imagen Landsat-ETM+.

Keywords

G, Geography (General), Geografía Social, landsat, Forestal, Geography. Anthropology. Recreation, sistemas de información geográfica, G1-922, forestal, Landsat, rodalización

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green
gold