Autoria: ARVOR, D.; DUBREUIL, V.; MEIRELLES, M. S. P.

Resumo: 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. O objetivo deste artigo é de mapear as áreas cultivadas com duas safras e de estimar se o grau de intensificação encontrado em uma área pode ser relacionado às condições pluviométricas.

Ano de publicação: 2009

Tipo de publicação: Artigo em anais e proceedings

Unidade: Embrapa Solos

Palavras-chave: Agricultura, Intensificação da agricultura, MODIS, Mato Grosso, Remote sensing, Sensoriamento remoto, Soja, TRMM