Search Results - "Valeriano, Dalton M."

DETER-B: The New Amazon Near Real-Time Deforestation Detection System by Diniz, Cesar Guerreiro, Souza, Arleson Antonio de Almeida, Santos, Diogo Correa, Dias, Mirian Correa, Luz, Nelton Cavalcante da, Moraes, Douglas Rafael Vidal de, Maia, Janaina Sant Ana, Gomes, Alessandra Rodrigues, Narvaes, Igor da Silva, Valeriano, Dalton M., Maurano, Luis Eduardo Pinheiro, Adami, Marcos

“…The Brazilian Legal Amazon (BLA), the largest global rainforest on earth, contains nearly 30% of the rainforest on earth. Given the regional complexity and…”
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Exploring a Deep Convolutional Neural Network and Geobia for Automatic Recognition of Brazilian Palm Swamps (Veredas) Using Sentinel-2 Optical Data by Bendini, Hugo N., Fonseca, Leila M. G., Maretto, Raian V., Matosak, Bruno M., Taquary, Evandro C., Simoes, Philipe S., Haidar, Ricardo F., Valeriano, Dalton De M.

“…The Brazilian Palm Swamps (Veredas) are a vegetation physiognomy of the Cerrado biome. It has a critical importance for biodiversity and also for groundwater…”
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Earth Observation Applications in Brazil with Focus on the CBERS Program by Fonseca, Leila M. G., Epiphanio, Jose Carlos Neves, Valeriano, Dalton M., Soares, Joao V., Dalge, Julio C. L., Alvarenga, Marcia A.

“…Brazil is a large and diverse country and almost all remote sensing application fields can be developed there: oceanographic, agricultural, environmental,…”
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Near real time detection of deforestation in the Brazilian Amazon using MODIS imagery by Maurício A. Moreira, Bernardo F. T. Rudorff, Ramon M. de Freitas, Dalton M. Valeriano, Egídio Arai, Liana O. Anderson, Valdete Duarte, Yosio E. Shimabukuro

“…The objective of this paper is to provide near real time information about deforestation detection (DETER) in the entire Brazilian Amazon using MODIS high…”
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Mining patterns of change in remote sensing image databases by Silva, M.P.S., Camara, G., Souza, R.C.M., Valeriano, D.M., Escada, M.I.S.

“…Remote sensing image databases are the fastest growing archives of spatial information. However, we still have a limited capacity for extracting information…”
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