Abstract

GONZALEZ MURGUIA, Rene et al. Forest stratification through Geographical Information Systems and Remote Sensing. Invest. Geog [online]. 2004, n.53, pp.39-57. ISSN 2448-7279.

The present research was development in ejido Pueblo Nuevo in Durango State, Mexico. The objective is to establish a methodology to modeling and create the silvicultural stratification to forest management up to sub-stand (subrodal) level. Topographic information from INEGI 1:50 000 scale, and a Landsat-ETM+ satellite image dated April 8, 2000 was used. A digital elevation model with 15 x 15 pixel cell size to modeling basins, watersheds and streams, was developed from topographic information. The Landsat-ETM+ satellite image was resampled to 15 x 15 pixel cell size with the panchromatic image in order to generate an image with better spatial resolution. The image was classified through supervised field training process to map the various landuse and vegetation covers. The actual stands (rodales) generated for ejido forest technician services was digitized to compare with the models. The slope and aspect data was generated from digital elevation model to find a comparative relation with actual stands. The Landsat-ETM+ classification was compared with the aspect model to establish vegetation distribution patterns and preferential aspects. The modeling stands were generated from the integration of watersheds and preferential aspects and sub stand with the integration of land cover land use coverage.

Keywords : Forest; Stands; Geographic Information System; Landsat.

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