Analise da intensificação da agricultura no Mato Grosso à partir de dados TRMM 3B42 e de series temporais MODIS/EVI

Abstract : The Brazilian state of Mato Grosso (southern Amazonia) is one of the main national producer of
agricultural products such as soybean, cotton and corn. After having based its development on the expansion of
arable lands through deforestation for thrity years, the agricultural sector is now increasing its productive
potential through the adoption of new agricultural management practices such as double cropping systems.
Remote sensing tehcniques such as classification of MODIS/TERRA EVI times series are efficient tools for
monitoring this phenomena. It appears that double cropping systems with wo comercial crops (soybean and corn
or soybean and cotton) improved from 6% to 26% of the total cultivated area in Mato Grosso between 2000-
2001 and 2006-2007 harvests. However, when studying at a county level, those rates vary from 1 to more than
50%, attesting that it exists a strong spatial variability concerning the application of this agricultural management
practice. It is argued that this rate is in part drove by the importance of total agricultural areas in a place and by
pluviometric conditions. This hypothesis is confirmed by crossing MODIS data with rainfall data. These data are
issue from the TRMM 3B42 products, which are computed into parameters such as duration, onset, end of the
rain season and total annual rainfalls. Those parameters are found to explain 42% of the spatial variability of the
application of double cropping systems in Mato Grosso.
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Conference papers
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Submitted on : Friday, May 8, 2009 - 10:50:10 AM
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  • HAL Id : halshs-00382526, version 1


Damien Arvor, Vincent Dubreuil, Margareth Simões Penello Meirelles. Analise da intensificação da agricultura no Mato Grosso à partir de dados TRMM 3B42 e de series temporais MODIS/EVI. XIV Simpósio Brasileiro de Sensoriamento Remoto, Apr 2009, Natal, Brazil. pp.91-98. ⟨halshs-00382526⟩



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