Using MODIS to detect cropping frequency variation in mechanized agriculture in Amazonia.

Using MODIS to detect cropping frequency variation in mechanized agriculture in Amazonia.

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Policy makers concerned with managing rapidly developing agriculture on the Amazon frontier currently have no Basin-wide spatial and temporal information on exactly when and how soubean and other mechanized annual cropping have developed in the region. To address this, we present a reliminary evaluation of the use of moderate resolution Imaging Spectroradiometer (MODIS) 250 m vegetation index (VI) time-series data to detect croppping frequency in two municipalities, Vilhena, Rondônia, and Santarém, Pará.

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Bibliographic Details
Main Authors: BROWN, J. C., KASTENS, J., WARDLOW, B., JEPSON, W., COUTINHO, A. C., VENTURIERI, A., LOMAS, J., PRICE, K.
Other Authors: John Christopher Brown, University of Kansas; JUDE KASTENS, University of Kansas; BRIAN WARDLOW, University of Nebraska-Lincoln; WENDY JEPSON, Texas A&M University; ALEXANDRE CAMARGO COUTINHO, CNPM; ADRIANO VENTURIERI, CPATU; JOHN LOMAS, University of Kansas; KEVIN PRICE, University of Kansas.
Format: Anais e Proceedings de eventos biblioteca
Language:pt_BR
por
Published: 2013-12-16
Subjects:Brasil., Agricultura., Amazonia.,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/974081
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Summary:Policy makers concerned with managing rapidly developing agriculture on the Amazon frontier currently have no Basin-wide spatial and temporal information on exactly when and how soubean and other mechanized annual cropping have developed in the region. To address this, we present a reliminary evaluation of the use of moderate resolution Imaging Spectroradiometer (MODIS) 250 m vegetation index (VI) time-series data to detect croppping frequency in two municipalities, Vilhena, Rondônia, and Santarém, Pará.

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