Daniel Alves Aguiar

According to our database1, Daniel Alves Aguiar authored at least 13 papers between 2009 and 2017.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2017
MODIS Time Series to Detect Anthropogenic Interventions and Degradation Processes in Tropical Pasture.
Remote. Sens., 2017

2013
STARS: A New Method for Multitemporal Remote Sensing.
IEEE Trans. Geosci. Remote. Sens., 2013

Spatial statistic to assess remote sensing acreage estimates: An analysis of sugarcane in São Paulo State, Brazil.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

2012
A Web Platform Development to Perform Thematic Accuracy Assessment of Sugarcane Mapping in South-Central Brazil.
Remote. Sens., 2012

Frost damage detection in sugarcane crop using MODIS images and SRTM data.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Automatic classification of land cover change associated with the Brazilian sugarcane expansion over the last decade.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
The Soy Moratorium in the Amazon Biome Monitored by Remote Sensing Images.
Remote. Sens., 2011

Remote Sensing Images in Support of Environmental Protocol: Monitoring the Sugarcane Harvest in São Paulo State, Brazil.
Remote. Sens., 2011

2010
Studies on the Rapid Expansion of Sugarcane for Ethanol Production in São Paulo State (Brazil) Using Landsat Data.
Remote. Sens., 2010

A simplified Bayesian Network to map soybean plantations.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Modis time series to assess pasture land.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2009
Temporal Series of EVI/MODIS to Identify Land Converted to Sugarcane.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

Data Mining by Decision Tree for Object Oriented Classification of the Sugar Cane Cut Kinds.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009


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