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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
Marcos Adami

42 shared publications

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

Bernardo Friedrich Theodor Rudorff

33 shared publications

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

Marcio Pupin Mello

16 shared publications

Remote Sensing Div. (DSR), Nat. Inst. for Space Res. (INPE), Sao Paulo, Brazil

José Carlos Mendonça

10 shared publications


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 1 Read 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 59 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
Conference 0 Reads 0 Citations Frost damage detection in sugarcane crop using MODIS images and SRTM data Bernardo Friedrich Theodor Rudorff, Daniel Alves Aguiar, Mar... Published: 01 July 2012
2012 IEEE International Geoscience and Remote Sensing Symposium, doi: 10.1109/igarss.2012.6352315
DOI See at publisher website