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Luciana Miura Sugawara  - - - 
Top co-authors See all
Marcos Adami

55 shared publications

Geoscience Institute, Federal University of Pará, Belém 66075-110, Brazil

Bernardo Friedrich Theodor Rudorff

28 shared publications

Instituto Nacional de Pesquisas Espaciais, São José dos Campos, Brasil

Daniel Alves Aguiar

11 shared publications

INPE, São José dos Campos

Maurício Alves Moreira

11 shared publications

Instituto Nacional De Pesquisas Espaciais, São José dos Campos

Marcio Pupin Mello

6 shared publications

Remote Sensing Division (DSR), National Institute for Space Research (INPE), Av. dos Astronautas, 1758, São José dos Campos, CEP: 12227-010, São Paulo, Brazil

Publication Record
Distribution of Articles published per year 
(2007 - 2012)
Total number of journals
published in
Article 3 Reads 34 Citations Remote Sensing Time Series to Evaluate Direct Land Use Change of Recent Expanded Sugarcane Crop in Brazil Marcos Adami, Bernardo Friedrich Theodor Rudorff, Ramon Mora... Published: 02 April 2012
Sustainability, doi: 10.3390/su4040574
DOI See at publisher website ABS Show/hide abstract
The use of biofuels to mitigate global carbon emissions is highly dependent on direct and indirect land use changes (LUC). The direct LUC (dLUC) can be accurately evaluated using remote sensing images. In this work we evaluated the dLUC of about 4 million hectares of sugarcane expanded from 2005 to 2010 in the South-central region of Brazil. This region has a favorable climate for rain-fed sugarcane, a great potential for agriculture expansion without deforestation, and is currently responsible for almost 90% of Brazilian’s sugarcane production. An available thematic map of sugarcane along with MODIS and Landast images, acquired from 2000 to 2009, were used to evaluate the land use prior to the conversion to sugarcane. A systematic sampling procedure was adopted and the land use identification prior to sugarcane, for each sample, was performed using a web tool developed to visualize both the MODIS time series and the multitemporal Landsat images. Considering 2000 as reference year, it was observed that sugarcane expanded: 69.7% on pasture land; 25.0% on annual crops; 0.6% on forest; while 3.4% was sugarcane land under crop rotation. The results clearly show that the dLUC of recent sugarcane expansion has occurred on more than 99% of either pasture or agriculture land.
Article 1 Read 93 Citations Studies on the Rapid Expansion of Sugarcane for Ethanol Production in São Paulo State (Brazil) Using Landsat Data Bernardo Friedrich Theodor Rudorff, Daniel Alves De Aguiar, ... Published: 09 April 2010
Remote Sensing, doi: 10.3390/rs2041057
DOI See at publisher website ABS Show/hide abstract
This study’s overarching aim is to establish the areal extent and characteristics of the rapid sugarcane expansion and land use change in São Paulo state (Brazil) as a result of an increase in the demand for ethanol, using Landsat type remotely sensed data. In 2003 flex fuel automobiles started to enter the Brazilian consumer market causing a dramatic expansion of sugarcane areas from 2.57 million ha in 2003 to 4.45 million ha in 2008. Almost all the land use change, for the sugarcane expansion of crop year 2008/09, occurred on pasture and annual crop land, being equally distributed on each. It was also observed that during the 2008 harvest season, the burned sugarcane area was reduced to 50% of the total harvested area in response to a protocol that aims to cease sugarcane straw burning practice by 2014 for mechanized areas. This study indicates that remote sensing images have efficiently evaluated important characteristics of the sugarcane cultivation dynamic providing quantitative results that are relevant to the debate of sustainable ethanol production from sugarcane in Brazil.
Article 9 Reads 4 Citations Viabilidade de uso de imagens do Landsat em mapeamento de área cultivada com soja no Estado do Paraná Luciana Miura Sugawara, Bernardo Friedrich Theodor Rudorff, ... Published: 01 December 2008
Pesquisa Agropecuária Brasileira, doi: 10.1590/s0100-204x2008001200019
DOI See at publisher website
Article 0 Reads 6 Citations Superfícies de resposta espectro-temporal de imagens do sensor MODIS para classificação de área de soja no Estado do Rio... Conrado De Moraes Rudorff, Rodrigo Rizzi, Bernardo Friedrich... Published: 01 February 2007
Ciência Rural, doi: 10.1590/s0103-84782007000100019
DOI See at publisher website