Monitoring of vegetation formations of Mato Grosso State by integrating maps obtained from TM and MODIS images

Authors

  • André LIMA INPE
  • Yosio Edemir SHIMABUKURO INPE
  • Liana Oighenstein ANDERSON University of Oxford
  • José Marcelo Domingues TOREZAN Universidade Estadual de Londrina
  • Bernardo Friedrich Theodor RUDORFF INPE
  • Rodrigo RIZZI INPE

Abstract

The objective of this paper is to show the land cover changes observed in Mato Grosso State during 2002 to 2004. Methods were based on integration of TM and MODIS-based land cover maps with a 1:250,000 original vegetation cover map produced by RADAMBRASIL (1980) project. Results showed that Rainforest-to-Seasonal Forest ecotone and Seasonal Forest had an annual conversion rate near of 15%. Another important result is that the class Área Antropizada-II (represented by agricultural area - mainly soybean crop) increased by almost 30% (1.2 millions ha). These results confirm the presence of land cover process characterized by conversions of large areas of vegetations formations to antrophic areas in a short time. This conversion pattern evidences the urge for immediate environmental conservation plans and actions. Key words: Land cover mapping. Land cover change. Remote sensing. GIS.

Author Biography

Yosio Edemir SHIMABUKURO, INPE

e-mail: lander@ouce.ox.ac.uk 3 , Laboratório de Biodiversidade e Restauração de Ecossistemas, Londrina – PR, Fone: +55 (43) 3371-4509, e-mail:

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Published

2008-08-27

Issue

Vol. 32 No. 3 (2007)

Section

Article

License

The authors maintain the copyright and grant GEOGRAFIA the right of first publication, with the articles simultaneously licensed under the Creative Commons BY 4.0 License, which allows sharing and adapting the articles for any purpose, as long as appropriate credits and provisions of image rights, privacy or moral rights. Other legal attributions can be accessed at: https://creativecommons.org/licenses/by/4.0/legalcode.en.

 

Geography, Rio Claro, SP, Brazil - eISSN 1983-8700 is licensed under the Creative Commons BY 4.0 License.

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