A Model of Desertification Process in a Semi-arid Environment Employing Multi-spectral Images

  • Jorge Lira
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3287)


A model of desertification in semi-arid environment employing satellite multi-spectral images is presented. The variables proposed to characterize desertification are: texture of terrain, vegetation index for semi-arid terrain, and albedo of terrain. The texture is derived from a divergence operator applied upon the vector field formed by the first three principal components of the image. The vegetation index selected is the TSAVI, suitable for semi-arid environment where vegetation is scarce. The albedo is calculated from the first principal component obtained from the bands of the multi-spectral image. These three variables are input into a clustering algorithm resulting in six desertification grades. These grades are ordered from no-desertification to severe desertification. Details are provided for the computer calculation of the desertification variables, and the parameters employed in the clustering algorithm. A multi-spectral Landsat TM image is selected for this research. A thematic map of desertification is then generated with the support of ancillary data related to the study area.


Vegetation Index Remote Sensing Image Desertification Process Semiarid Environment Moderate Disturbance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Jorge Lira
    • 1
  1. 1.Instituto de Geofísica-UNAM, Circuito Institutos, Cd. UniversitariaMéxico DFMéxico

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