Remote Sensing Application in Forest Assessment

Authors

  • A. Pinedo Universidad Juarez del Estado de Durango, Mexico
  • C. Wehenkel Universidad Juarez del Estado de Durango, Mexico
  • J.C. Hernandez-Diaz Universidad Juarez del Estado de Durango, Mexico
  • G. Vazquez Universidad Juarez del Estado de Durango, Mexico

Keywords:

Remote sensing, modeling, Landsat 5 TM, spectral data

Abstract

In this research the relationship between structural variables of pine and spectral data of Landsat 5 TM sensor were evaluated in an area of Durango, Mexico. To determine such relationship multivariate techniques were applied. Using information of the evaluated sites, a prediction model was generated with Landsat TM bands; the better relationships were found for the sensor's spectral data with the variable ERT (m3/ha) were found with the band 4, with R2 = 0.72 and with the band 3, with R2 = 0.66.

Author Biographies

A. Pinedo, Universidad Juarez del Estado de Durango, Mexico

Instituto de Silvicultura e Industria de la Madera

C. Wehenkel, Universidad Juarez del Estado de Durango, Mexico

Instituto de Silvicultura e Industria de la Madera

J.C. Hernandez-Diaz, Universidad Juarez del Estado de Durango, Mexico

Instituto de Silvicultura e Industria de la Madera

G. Vazquez, Universidad Juarez del Estado de Durango, Mexico

Facultad de Ciencias Forestales 

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Published

2011-11-29

Issue

Vol. 4(53) No. 2 (2011)

Section

FORESTRY