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Bernardo Rudorff   Dr.  Research or Laboratory Scientist 
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Bernardo Rudorff published an article in December 2015.
Top co-authors See all
Luciano V Dutra

67 shared publications

Image Processing Division, National Institute for Space Research, São Jose dos Campos, SP, 12245-010, Brazil

Marcos Adami

54 shared publications

INPE, National Institute For Space Research, Brazil

Eduardo Maeda

47 shared publications

Department of Environmental Sciences, University of Helsinki, Helsinki, FI-00014, Finland

Yosio Shimabukuro

47 shared publications

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

João Roberto Dos Santos

29 shared publications

Divisão de Sensoriamento Remoto, Instituto Nacional de Pesquisas Espaciais (INPE), São José dos Campos, São Paulo, Brazil

35
Publications
45
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209
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Publication Record
Distribution of Articles published per year 
( - 2015)
Total number of journals
published in
 
17
 
Publications See all
Article 1 Read 3 Citations Greenhouse gas balance from cultivation and direct land use change of recently established sugarcane ( Saccharum officin... Ricardo De Oliveira Bordonal, Rattan Lal, Daniel Alves Aguia... Published: 01 December 2015
Renewable and Sustainable Energy Reviews, doi: 10.1016/j.rser.2015.07.137
DOI See at publisher website
Article 0 Reads 7 Citations Greenhouse gas mitigation potential from green harvested sugarcane scenarios in São Paulo State, Brazil Ricardo De Oliveira Bordonal, Eduardo Barretto De Figueiredo... Published: 01 December 2013
Biomass and Bioenergy, doi: 10.1016/j.biombioe.2013.08.040
DOI See at publisher website
PROCEEDINGS-ARTICLE 0 Reads 0 Citations Spatial statistic to assess remote sensing acreage estimates: An analysis of sugarcane in São Paulo State, Brazil Marcio Pupin Mello, Daniel Alves Aguiar, Bernardo Friedrich ... Published: 01 July 2013
2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, doi: 10.1109/igarss.2013.6723768
DOI See at publisher website
Article 6 Reads 3 Citations Modelagem dinâmica espacial das alterações de cobertura e uso da terra relacionadas à expansão canavieira Rodrigo De Campos Macedo, Cláudia Maria De Almeida, João Rob... Published: 01 June 2013
Boletim de Ciências Geodésicas, doi: 10.1590/s1982-21702013000200009
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A avaliação das mudanças na paisagem é fundamental para a eficiência na gestão territorial. O objetivo deste trabalho é parametrizar e calibrar um modelo de mudança de cobertura e uso, além de validar as simulações associadas à expansão canavieira em Arealva-SP, no período compreendido entre 2005 e 2010. Os mapas inicial e final foram corregistrados e, após a rasterização, foi realizada uma tabulação cruzada, gerando-se um mapa de mudanças e a respectiva matriz de transição. O modelo adotado foi o Dinamica EGO, e seu desempenho foi avaliado por meio de um método baseado no conceito de incerteza de localização (fuzziness of location), no qual a representação de uma célula é influenciada por ela mesma, e, em menor magnitude, pela sua vizinhança. Há predominância de pastagens e baixo índice de área de vegetação nativa. As mudanças mais relevantes estão relacionadas à expansão canavieira e à retração de pastagens. O valor da similaridade fuzzy entre o mapa simulado e o mapa-referência, para a janela de tamanho 11x11 e função de decaimento constante, foi de 0.52. Foi possível aprimorar o conhecimento dos fatores direcionadores das mudanças de cobertura e uso, propiciando a revelação das forçantes dessas mudanças.
Article 2 Reads 6 Citations A Web Platform Development to Perform Thematic Accuracy Assessment of Sugarcane Mapping in South-Central Brazil Marcos Adami, Marcio Pupin Mello, Daniel Alves Aguiar, Berna... Published: 19 October 2012
Remote Sensing, doi: 10.3390/rs4103201
DOI See at publisher website ABS Show/hide abstract
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.
Article 1 Read 4 Citations Índices de vegetação Modis aplicados na discriminação de áreas de soja Joel Risso, Yosio Edemir Shimabukuro, Rodrigo Rizzi, Bernard... Published: 01 September 2012
Pesquisa Agropecuária Brasileira, doi: 10.1590/s0100-204x2012000900017
DOI See at publisher website
Conference papers
CONFERENCE-ARTICLE 5 Reads 0 Citations Remote Sensing Time Series to Evaluate Direct Land Use Change of Recent Expanded Sugarcane Crop in Brazil Marcos Adami, Bernardo Rudorff, Ramon Freitas, Daniel Aguiar... Published: 02 November 2011
doi: 10.3390/wsf-00576
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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.
CONFERENCE-ARTICLE 5 Reads 0 Citations Remote Sensing Images to Detect Soy Plantations in the Amazon Biome – the Soy Moratorium Initiative Bernardo Rudorff, Marcos Adami, Joel Risso, Daniel Aguiar, B... Published: 02 November 2011
doi: 10.3390/wsf-00703
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The Soy Moratorium is an initiative to reduce deforestation rates in the Amazon biome based on the hypothesis that soybean is a deforestation driver. Farmers that planted soybean in that biome in opened areas after its declaration, July 24th, 2006, would not have their production commercialized nor supported with any financial aid through purchases or crop financing by the associated companies to the Brazilian Association of Vegetable Oil Industries (ABIOVE) and the National Association of Cereal Exporters (ANEC). ABIOVE and ANEC represent about 90% of the Brazilian soybean market. Brazil has a long term project to monitor the deforested areas in the Brazilian Amazon Biome using remote sensing images. Every year a map with new deforested polygons is available on the Internet (www.prodes.inpe.br). Therefore, it is possible to monitor the deforested polygons after the Moratorium date in order to identify annual crops in these polygons using remote sensing images. The crop detection method based on satellite images facilitate and reduce costs of the monitoring procedure to select possible soybean fields. The MODIS satellite images are not able to classify soybean crop at early growth stages with high accuracy, however, they play an important role in the pre-selection of these possible soybean fields. Therefore, crop detection method also uses Landsat like images, aerial survey and, field work. In the last crop, 3,571 deforested polygons with more than 25 ha and deforested after the Moratorium declaration were identified nearby the soybean producing region in the Amazon Biome. Using satellite imagery analysis procedure, 293 of these deforested polygons were selected, indicating to have annual crops. Soybean was detected in 147 of 293 polygons, covering an area of 11,698 ha. In 2011, the soybean was cultivated only in 0.39% of the recently deforested areas in Amazon Biome during the Moratorium period. In terms of the total soybean area cultivated in Brazil and in the Amazon Biome, 11,698 ha represents 0.05% and 0.60%, respectively. It seems that the Soy Moratorium is having an inhibitory effect on recent deforestation in the Amazon Biome, but the soy crop certainly has not been a major driver of deforestation during the last four years as indicated by the numbers. 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.
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