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Bernardo Rudorff   Dr.  Research or Laboratory Scientist 
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Bernardo Rudorff published an article in June 2013.
Top co-authors See all
Luciano V. Dutra

53 shared publications

National Institute for Space Research, Av. dos Astronautas, 1758, São Jose dos Campos, SP 12245-010, Brazil

Marcos Adami

42 shared publications

Remote Sensing Division; National Institute for Space Research; São José dos Campos Brazil

Eduardo Eiji Maeda

41 shared publications

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

Yosio E. Shimabukuro

21 shared publications

Remote Sensing Division, National Institute for Space Research, Av. dos Astronautas, 1758, São José dos Campos, SP 12227-010, Brazil

C.M. Almeida

11 shared publications

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

17
Publications
23
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164
Citations
Publication Record
Distribution of Articles published per year 
(2006 - 2013)
Total number of journals
published in
 
8
 
Publications See all
Article 5 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 0 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 0 Reads 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
Article 0 Reads 10 Citations Monitoring Biennial Bearing Effect on Coffee Yield Using MODIS Remote Sensing Imagery Tiago Bernardes, Maurício Alves Moreira, Marcos Adami, Angel... Published: 27 August 2012
Remote Sensing, doi: 10.3390/rs4092492
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Coffee is the second most valuable traded commodity worldwide. Brazil is the world’s largest coffee producer, responsible for one third of the world production. A coffee plot exhibits high and low production in alternated years, a characteristic so called biennial yield. High yield is generally a result of suitable conditions of foliar biomass. Moreover, in high production years one plot tends to lose more leaves than it does in low production years. In both cases some correlation between coffee yield and leaf biomass can be deduced which can be monitored through time series of vegetation indices derived from satellite imagery. In Brazil, a comprehensive, spatially distributed study assessing this relationship has not yet been done. The objective of this study was to assess possible correlations between coffee yield and MODIS derived vegetation indices in the Brazilian largest coffee-exporting province. We assessed EVI and NDVI MODIS products over the period between 2002 and 2009 in the south of Minas Gerais State whose production accounts for about one third of the Brazilian coffee production. Landsat images were used to obtain a reference map of coffee areas and to identify MODIS 250 m pure pixels overlapping homogeneous coffee crops. Only MODIS pixels with 100% coffee were included in the analysis. A wavelet-based filter was used to smooth EVI and NDVI time profiles. Correlations were observed between variations on yield of coffee plots and variations on vegetation indices for pixels overlapping the same coffee plots. The vegetation index metrics best correlated to yield were the amplitude and the minimum values over the growing season. The best correlations were obtained between variation on yield and variation on vegetation indices the previous year (R = 0.74 for minEVI metric and R = 0.68 for minNDVI metric). Although correlations were not enough to estimate coffee yield exclusively from vegetation indices, trends properly reflect the biennial bearing effect on coffee yield.
Article 3 Reads 33 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
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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.
Article 3 Reads 8 Citations Soybean crop area estimation by Modis/Evi data Anibal Gusso, Antônio Roberto Formaggio, Rodrigo Rizzi, Marc... Published: 01 March 2012
Pesquisa Agropecuária Brasileira, doi: 10.1590/s0100-204x2012000300015
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