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Daniel Alves Aguiar
National Institute of Space Research

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Journal article
Published: 01 December 2015 in Renewable and Sustainable Energy Reviews
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ACS Style

Ricardo De Oliveira Bordonal; Rattan Lal; Daniel Alves Aguiar; Eduardo Barretto de Figueiredo; Luciano Ito Perillo; Marcos Adami; Bernardo Friedrich Theodor Rudorff; Newton La Scala Jr.. Greenhouse gas balance from cultivation and direct land use change of recently established sugarcane ( Saccharum officinarum ) plantation in south-central Brazil. Renewable and Sustainable Energy Reviews 2015, 52, 547 -556.

AMA Style

Ricardo De Oliveira Bordonal, Rattan Lal, Daniel Alves Aguiar, Eduardo Barretto de Figueiredo, Luciano Ito Perillo, Marcos Adami, Bernardo Friedrich Theodor Rudorff, Newton La Scala Jr.. Greenhouse gas balance from cultivation and direct land use change of recently established sugarcane ( Saccharum officinarum ) plantation in south-central Brazil. Renewable and Sustainable Energy Reviews. 2015; 52 ():547-556.

Chicago/Turabian Style

Ricardo De Oliveira Bordonal; Rattan Lal; Daniel Alves Aguiar; Eduardo Barretto de Figueiredo; Luciano Ito Perillo; Marcos Adami; Bernardo Friedrich Theodor Rudorff; Newton La Scala Jr.. 2015. "Greenhouse gas balance from cultivation and direct land use change of recently established sugarcane ( Saccharum officinarum ) plantation in south-central Brazil." Renewable and Sustainable Energy Reviews 52, no. : 547-556.

Letter
Published: 19 October 2012 in Remote Sensing
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The ability to monitor sugarcane expansion in Brazil, the world’s largest producer and exporter of sugar and second largest producer of ethanol, is important due to its agricultural, economic, strategic and environmental relevance. With the advent of flex fuel cars in 2003 the sugarcane area almost doubled over the last decade in the South-Central region of Brazil. Using remote sensing images, the sugarcane cultivation area was annually monitored and mapped between 2003 and 2012, a period of major sugarcane expansion. The objective of this work was to assess the thematic mapping accuracy of sugarcane, in the crop year 2010/2011, with the novel approach of developing a web platform that integrates different spatial and temporal image resolutions to assist interpreters in classifying a large number of points selected by stratified random sampling. A field campaign confirmed the suitability of the web platform to generate the reference data set. An overall accuracy of 98% with an area estimation error of −0.5% was achieved for the sugarcane map of 2010/11. The accuracy assessment indicated that the map is of excellent quality, offering very accurate sugarcane area estimation for the purpose of agricultural statistics. Moreover, the web platform showed to be very effective in the construction of the reference dataset.

ACS Style

Marcos Adami; Marcio Pupin Mello; Daniel Alves Aguiar; Bernardo Friedrich Theodor Rudorff; Arley Ferreira De Souza. A Web Platform Development to Perform Thematic Accuracy Assessment of Sugarcane Mapping in South-Central Brazil. Remote Sensing 2012, 4, 3201 -3214.

AMA Style

Marcos Adami, Marcio Pupin Mello, Daniel Alves Aguiar, Bernardo Friedrich Theodor Rudorff, Arley Ferreira De Souza. A Web Platform Development to Perform Thematic Accuracy Assessment of Sugarcane Mapping in South-Central Brazil. Remote Sensing. 2012; 4 (10):3201-3214.

Chicago/Turabian Style

Marcos Adami; Marcio Pupin Mello; Daniel Alves Aguiar; Bernardo Friedrich Theodor Rudorff; Arley Ferreira De Souza. 2012. "A Web Platform Development to Perform Thematic Accuracy Assessment of Sugarcane Mapping in South-Central Brazil." Remote Sensing 4, no. 10: 3201-3214.

Journal article
Published: 01 August 2012 in Remote Sensing of Environment
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Matheus Alves Vieira; Antonio Roberto Formaggio; Camilo Rennó; Clement Atzberger; Daniel Alves Aguiar; Marcio Pupin Mello. Object Based Image Analysis and Data Mining applied to a remotely sensed Landsat time-series to map sugarcane over large areas. Remote Sensing of Environment 2012, 123, 553 -562.

AMA Style

Matheus Alves Vieira, Antonio Roberto Formaggio, Camilo Rennó, Clement Atzberger, Daniel Alves Aguiar, Marcio Pupin Mello. Object Based Image Analysis and Data Mining applied to a remotely sensed Landsat time-series to map sugarcane over large areas. Remote Sensing of Environment. 2012; 123 ():553-562.

Chicago/Turabian Style

Matheus Alves Vieira; Antonio Roberto Formaggio; Camilo Rennó; Clement Atzberger; Daniel Alves Aguiar; Marcio Pupin Mello. 2012. "Object Based Image Analysis and Data Mining applied to a remotely sensed Landsat time-series to map sugarcane over large areas." Remote Sensing of Environment 123, no. : 553-562.

Journal article
Published: 23 May 2012 in Sustainability
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The Soy Moratorium is an initiative to reduce deforestation rates in the Amazon biome based on the hypothesis that soy is a deforestation driver. Soy planted in opened areas after July 24th, 2006 cannot be commercialized by the associated companies to the Brazilian Association of Vegetable Oil Industries (ABIOVE) and the National Association of Cereal Exporters (ANEC), which represent about 90% of the Brazilian soy market. The objective of this work is to present the evaluation of the fourth year of monitoring new soy plantations within the Soy Moratorium context. With the use of satellite images from the MODIS sensor, together with aerial survey, it was possible to identify 147 polygons with new soy plantations on 11,698 ha. This soy area represents 0.39% of the of the total deforested area during the moratorium, in the three soy producing states of the Amazon biome, and 0.6% of the cultivated soy area in the Amazon biome, indicating that soy is currently a minor deforestation driver. The quantitative geospatial information provided by an effective monitoring approach is paramount to the implementation of a governance process required to establish an equitable balance between environmental protection and agricultural production.

ACS Style

Bernardo F. T. Rudorff; Marcos Adami; Joel Risso; Daniel Alves De Aguiar; Bernardo Pires; Daniel Amaral; Leandro Fabiani; Izabel Cecarelli. Remote Sensing Images to Detect Soy Plantations in the Amazon Biome—The Soy Moratorium Initiative. Sustainability 2012, 4, 1074 -1088.

AMA Style

Bernardo F. T. Rudorff, Marcos Adami, Joel Risso, Daniel Alves De Aguiar, Bernardo Pires, Daniel Amaral, Leandro Fabiani, Izabel Cecarelli. Remote Sensing Images to Detect Soy Plantations in the Amazon Biome—The Soy Moratorium Initiative. Sustainability. 2012; 4 (5):1074-1088.

Chicago/Turabian Style

Bernardo F. T. Rudorff; Marcos Adami; Joel Risso; Daniel Alves De Aguiar; Bernardo Pires; Daniel Amaral; Leandro Fabiani; Izabel Cecarelli. 2012. "Remote Sensing Images to Detect Soy Plantations in the Amazon Biome—The Soy Moratorium Initiative." Sustainability 4, no. 5: 1074-1088.

Journal article
Published: 02 April 2012 in Sustainability
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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.

ACS Style

Marcos Adami; Bernardo Friedrich Theodor Rudorff; Ramon Morais Freitas; Daniel Alves Aguiar; Luciana Miura Sugawara; Marcio Pupin Mello. Remote Sensing Time Series to Evaluate Direct Land Use Change of Recent Expanded Sugarcane Crop in Brazil. Sustainability 2012, 4, 574 -585.

AMA Style

Marcos Adami, Bernardo Friedrich Theodor Rudorff, Ramon Morais Freitas, Daniel Alves Aguiar, Luciana Miura Sugawara, Marcio Pupin Mello. Remote Sensing Time Series to Evaluate Direct Land Use Change of Recent Expanded Sugarcane Crop in Brazil. Sustainability. 2012; 4 (4):574-585.

Chicago/Turabian Style

Marcos Adami; Bernardo Friedrich Theodor Rudorff; Ramon Morais Freitas; Daniel Alves Aguiar; Luciana Miura Sugawara; Marcio Pupin Mello. 2012. "Remote Sensing Time Series to Evaluate Direct Land Use Change of Recent Expanded Sugarcane Crop in Brazil." Sustainability 4, no. 4: 574-585.

Journal article
Published: 13 December 2011 in Remote Sensing
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Traditional manual sugarcane harvesting requires the pre-harvest burning practice which should be gradually banned by 2021 for most of São Paulo State, Brazil, on cultivated sugarcane land (terrain slope ≤12%) according to State Law number 11241. To forward the end of this practice to 2014, a “Green Ethanol” Protocol was established in 2007. The present work aims at analyzing five years of continuous sugarcane harvest monitoring, based on remote sensing images, to evaluate the effectiveness of the Protocol, thus helping decision makers to establish public policies to meet the Protocol’s expected goals. During the last five crop years, sugarcane acreage expanded by 1.5 million ha, which was compensated by a correspondent increase in the green harvested land. However, no significant reduction was observed in the amount of pre-harvest burned land over the same period. Based on the current trend, this goal is likely to be achieved one or two years later (2015–2016), which will be five or six years ahead of 2021 as the goal in the State Law number 11241 states. We thus conclude that the“Green Ethanol” Protocol has been effective with a positive impact on the increase of GH, especially on recently expanded sugarcane fields.

ACS Style

Daniel Alves Aguiar; Bernardo Friedrich Theodor Rudorff; Wagner Fernando Silva; Marcos Adami; Marcio Pupin Mello. Remote Sensing Images in Support of Environmental Protocol: Monitoring the Sugarcane Harvest in São Paulo State, Brazil. Remote Sensing 2011, 3, 2682 -2703.

AMA Style

Daniel Alves Aguiar, Bernardo Friedrich Theodor Rudorff, Wagner Fernando Silva, Marcos Adami, Marcio Pupin Mello. Remote Sensing Images in Support of Environmental Protocol: Monitoring the Sugarcane Harvest in São Paulo State, Brazil. Remote Sensing. 2011; 3 (12):2682-2703.

Chicago/Turabian Style

Daniel Alves Aguiar; Bernardo Friedrich Theodor Rudorff; Wagner Fernando Silva; Marcos Adami; Marcio Pupin Mello. 2011. "Remote Sensing Images in Support of Environmental Protocol: Monitoring the Sugarcane Harvest in São Paulo State, Brazil." Remote Sensing 3, no. 12: 2682-2703.

Conference paper
Published: 02 November 2011 in Proceedings of The 1st World Sustainability Forum
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Mitigation of global carbon emissions to prevent global warming potential using biofuels is highly dependent on direct and indirect land use change (LUC). There are still several uncertainties about how to assess the indirect LUC impacts of biofuels. However, direct LUC (dLUC) can be evaluated using remote sensing (RS). The present work has the aim to quantify the dLUC occurred during the recent sugarcane expansion for ethanol and sugar production concentrated in the South-Central region of Brazil. This region has a favorable climate for sugarcane production and also a great potential for agriculture expansion. Yearly monitoring from 2005 to 2010 using Landsat type imagery has shown that the sugarcane crop expanded during this period over 3.5 Mha in the South-Central region. To evaluate the dLUC in response to the expanded sugarcane area we used RS time series from the MODIS sensor transformed to the two-band enhanced vegetation index (EVI2), acquired from 2000 to 2009. The original sugarcane map was re-sampled to a pixel size of 250 x 250 m to be compatible with spatial resolution of the MODIS images. One percent of these pixels were systematically sampled covering 1035 pixels. Each of these pixels were carefully analyzed using a special developed web tool to visualize the entire MODIS time series overlaid with several Landsat-5 TM images acquired at key periods in order to correctly identify the land use/land cover prior to the sugarcane crop. Considering 2000 as reference year for the dLUC evaluation it was observed that: 69.8% of the sugarcane expanded on pasture land; 26.2% expanded on annual crops; 0.6% expanded on native vegetation; and 3.4 % was not sugarcane expansion but sugarcane renovation using crop rotation. It was interesting to notice that 35% of the pasture land in 2000 converted to sugarcane was first converted to annual crops. This practice is commonly adopted for one to two years on degraded pasture to improve the physical soil characteristics before introducing the sugarcane crop. It was also observed that the 0.6 % of native vegetation changed to sugarcane was previously converted to either annual crop (33%) or pasture land (67%). Although the analysis needs to be further refined the results clearly show that the dLUC observed during the recent sugarcane expansion for ethanol and sugar production in the South-Central region of Brazil is mainly occurring on pasture and agricultural land.

ACS Style

Marcos Adami; Bernardo Rudorff; Ramon Freitas; Daniel Aguiar; Luciana Sugawara; Marcio Mello. Remote Sensing Time Series to Evaluate Direct Land Use Change of Recent Expanded Sugarcane Crop in Brazil. Proceedings of The 1st World Sustainability Forum 2011, 1 .

AMA Style

Marcos Adami, Bernardo Rudorff, Ramon Freitas, Daniel Aguiar, Luciana Sugawara, Marcio Mello. Remote Sensing Time Series to Evaluate Direct Land Use Change of Recent Expanded Sugarcane Crop in Brazil. Proceedings of The 1st World Sustainability Forum. 2011; ():1.

Chicago/Turabian Style

Marcos Adami; Bernardo Rudorff; Ramon Freitas; Daniel Aguiar; Luciana Sugawara; Marcio Mello. 2011. "Remote Sensing Time Series to Evaluate Direct Land Use Change of Recent Expanded Sugarcane Crop in Brazil." Proceedings of The 1st World Sustainability Forum , no. : 1.

Journal article
Published: 01 June 2011 in Engenharia Agrícola
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Este trabalho teve por objetivo avaliar a dinâmica da ocupação do uso do solo cultivado com a cultura da cana-de-açúcar nos seis principais municípios produtores da região Norte Fluminense - RJ, entre o período de 1984 a 2007. Foram utilizadas 18 imagens do sensor TM-Landsat, técnicas de interpretação visual e de Modelo Linear de Mistura Espectral (MLME), para gerar mapas temáticos das áreas ocupadas com a cultura. Com base nesses mapas, foi possível analisar a espacialização das áreas de cana e quantificá-las em cada município. Dos resultados obtidos, pode-se concluir que, entre os anos de 2004 a 2007, ocorreu um decremento total na área ocupada com a cultura, em 43.308,33 ha. A partir do ano de 2000 até 2007, houve um incremento de 24.422,72 ha, principalmente nos municípios de Campos dos Goytacazes, São Francisco de Itabapoana e Cardoso Moreira. Os resultados indicam que o uso do MLME permitiu um mapeamento mais exato das áreas ocupadas com cana-de-açúcar.

ACS Style

José C. Mendonça; Ramon M. De Freitas; Daniel A. De Aguiar; Elias F. De Sousa; Rodrigo De A. Muniz; Barbara Dos S. Esteves. Mapeamento das áreas de cana-de-açúcar na região norte fluminense - RJ por uso de técnicas de sensoriamento remoto. Engenharia Agrícola 2011, 31, 561 -571.

AMA Style

José C. Mendonça, Ramon M. De Freitas, Daniel A. De Aguiar, Elias F. De Sousa, Rodrigo De A. Muniz, Barbara Dos S. Esteves. Mapeamento das áreas de cana-de-açúcar na região norte fluminense - RJ por uso de técnicas de sensoriamento remoto. Engenharia Agrícola. 2011; 31 (3):561-571.

Chicago/Turabian Style

José C. Mendonça; Ramon M. De Freitas; Daniel A. De Aguiar; Elias F. De Sousa; Rodrigo De A. Muniz; Barbara Dos S. Esteves. 2011. "Mapeamento das áreas de cana-de-açúcar na região norte fluminense - RJ por uso de técnicas de sensoriamento remoto." Engenharia Agrícola 31, no. 3: 561-571.

Journal article
Published: 18 January 2011 in Remote Sensing
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The Soy Moratorium is a pledge agreed to by major soybean companies not to trade soybean produced in deforested areas after 24th July 2006 in the Brazilian Amazon biome. The present study aims to identify soybean planting in these areas using the MOD13Q1 product and TM/Landsat-5 images followed by aerial survey and field inspection. In the 2009/2010 crop year, 6.3 thousand ha of soybean (0.25% of the total deforestation) were identified in areas deforested during the moratorium period. The use of remote sensing satellite images reduced by almost 80% the need for aerial survey to identify soybean planting and allowed monitoring of all deforested areas greater than 25 ha. It is still premature to attribute the recent low deforestation rates in the Amazon biome to the Soy Moratorium, but the initiative has certainly exerted an inhibitory effect on the soybean frontier expansion in this biome.

ACS Style

Bernardo Friedrich Theodor Rudorff; Marcos Adami; Daniel Alves Aguiar; Maurício Alves Moreira; Marcio Pupin Mello; Leandro Fabiani; Daniel Furlan Amaral; Bernardo Machado Pires. The Soy Moratorium in the Amazon Biome Monitored by Remote Sensing Images. Remote Sensing 2011, 3, 185 -202.

AMA Style

Bernardo Friedrich Theodor Rudorff, Marcos Adami, Daniel Alves Aguiar, Maurício Alves Moreira, Marcio Pupin Mello, Leandro Fabiani, Daniel Furlan Amaral, Bernardo Machado Pires. The Soy Moratorium in the Amazon Biome Monitored by Remote Sensing Images. Remote Sensing. 2011; 3 (1):185-202.

Chicago/Turabian Style

Bernardo Friedrich Theodor Rudorff; Marcos Adami; Daniel Alves Aguiar; Maurício Alves Moreira; Marcio Pupin Mello; Leandro Fabiani; Daniel Furlan Amaral; Bernardo Machado Pires. 2011. "The Soy Moratorium in the Amazon Biome Monitored by Remote Sensing Images." Remote Sensing 3, no. 1: 185-202.

Journal article
Published: 09 April 2010 in Remote Sensing
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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.

ACS Style

Bernardo Friedrich Theodor Rudorff; Daniel Alves Aguiar; Wagner Fernando Silva; Luciana Miura Sugawara; Marcos Adami; Mauricio Alves Moreira. Studies on the Rapid Expansion of Sugarcane for Ethanol Production in São Paulo State (Brazil) Using Landsat Data. Remote Sensing 2010, 2, 1057 -1076.

AMA Style

Bernardo Friedrich Theodor Rudorff, Daniel Alves Aguiar, Wagner Fernando Silva, Luciana Miura Sugawara, Marcos Adami, Mauricio Alves Moreira. Studies on the Rapid Expansion of Sugarcane for Ethanol Production in São Paulo State (Brazil) Using Landsat Data. Remote Sensing. 2010; 2 (4):1057-1076.

Chicago/Turabian Style

Bernardo Friedrich Theodor Rudorff; Daniel Alves Aguiar; Wagner Fernando Silva; Luciana Miura Sugawara; Marcos Adami; Mauricio Alves Moreira. 2010. "Studies on the Rapid Expansion of Sugarcane for Ethanol Production in São Paulo State (Brazil) Using Landsat Data." Remote Sensing 2, no. 4: 1057-1076.

Journal article
Published: 01 September 2009 in Engenharia Agrícola
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A prática agrícola da queima da palha da cana-de-açúcar tem por finalidade facilitar a colheita manual. No Estado de São Paulo, essa prática está submetida a uma rigorosa legislação ambiental devido ao impacto negativo para o meio ambiente. Está previsto que a queima da cana deve ser gradativamente eliminada até 2017. O presente trabalho tem por objetivo avaliar a área de cana colhida com e sem queima em todo o Estado de São Paulo. Para tal, foram utilizadas as imagens disponíveis do sensor TM a bordo do satélite Landsat-5. As imagens foram adquiridas de abril a dezembro de 2006, que corresponde ao período de colheita da cana. Essas imagens foram analisadas por meio de técnicas de processamento digital e interpretação visual. A área de cana colhida sem queima foi avaliada em 1.085.730 ha e corresponde a 34,7% do total da área mecanizável colhida. Isso atende à legislação ambiental que, para o ano de 2006, previa que 30% da área de cana fosse colhida sem queima. A sequência temporal de imagens adquiridas entre abril e dezembro permite identificar as áreas de cana colhidas sem queima e, portanto, distingui-las das áreas de cana colhidas com queima.

ACS Style

Daniel A. De Aguiar; Yosio E. Shimabukuro; Bernardo F. T. Rudorff; Marcos Adami. Imagens de sensoriamento remoto no monitoramento da colheita da cana-de-açúcar. Engenharia Agrícola 2009, 29, 440 -451.

AMA Style

Daniel A. De Aguiar, Yosio E. Shimabukuro, Bernardo F. T. Rudorff, Marcos Adami. Imagens de sensoriamento remoto no monitoramento da colheita da cana-de-açúcar. Engenharia Agrícola. 2009; 29 (3):440-451.

Chicago/Turabian Style

Daniel A. De Aguiar; Yosio E. Shimabukuro; Bernardo F. T. Rudorff; Marcos Adami. 2009. "Imagens de sensoriamento remoto no monitoramento da colheita da cana-de-açúcar." Engenharia Agrícola 29, no. 3: 440-451.