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Daniel Aguiar   Mr.  Graduate Student or Post Graduate 
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Daniel Aguiar published an article in December 2015.
Top co-authors See all
Bernardo Friedrich Theodor Rudorff

28 shared publications

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

Marcos Adami

20 shared publications

Regional Center for the Amazon, National Institute for Space Research (INPE), Parque da Ciência e Tecnologia do Guamá, Belém-PA 2651, Brazil

José Carlos Mendonça

10 shared publications


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

Luciana Miura Sugawara

4 shared publications

Instituto Nacional De Pesquisas Espaciais, São José dos Campos

Publication Record
Distribution of Articles published per year 
(2009 - 2015)
Total number of journals
published in
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 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 0 Reads 62 Citations Object Based Image Analysis and Data Mining applied to a remotely sensed Landsat time-series to map sugarcane over large... Matheus Alves Vieira, Antonio Roberto Formaggio, Camilo Dale... Published: 01 August 2012
Remote Sensing of Environment, doi: 10.1016/j.rse.2012.04.011
DOI See at publisher website
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.