Statistical and computational methods of forest attribute estimation and classification based on remotely sensed data

Orientador: Alexander Christian Vibrans. === Coorientador: Ronald McRoberts. === Tese (Doutorado em Engenharia Ambiental) - Programa de Pós-Graduação em Engenharia Ambiental, Centro de Ciências Tecnológicas, Universidade Regional de Blumenau, Blumenau.

Bibliographic Details
Main Authors:	Moser, Paolo, 1985-, Vibrans, Alexander Christian, 1959-, McRoberts, Ronald, Universidade Regional de Blumenau. Programa de Pós-Graduação em Engenharia Ambiental.
Published:	2018
Subjects:	Engenharia ambiental Florestas Reflorestamento Desmatamento Levantamentos florestais Sensoriamento remoto
Online Access:	http://www.bc.furb.br/docs/TE/2018/364705_1_1.pdf

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spelling	ndltd-IBICT-oai-bu.furb.br-3647052019-01-22T03:21:24Z Statistical and computational methods of forest attribute estimation and classification based on remotely sensed data Moser, Paolo, 1985- Vibrans, Alexander Christian, 1959- McRoberts, Ronald Universidade Regional de Blumenau. Programa de Pós-Graduação em Engenharia Ambiental. Engenharia ambiental Florestas Reflorestamento Desmatamento Levantamentos florestais Sensoriamento remoto Orientador: Alexander Christian Vibrans. Coorientador: Ronald McRoberts. Tese (Doutorado em Engenharia Ambiental) - Programa de Pós-Graduação em Engenharia Ambiental, Centro de Ciências Tecnológicas, Universidade Regional de Blumenau, Blumenau. 2018 info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/doctoralThesis http://www.bc.furb.br/docs/TE/2018/364705_1_1.pdf info:eu-repo/semantics/openAccess reponame:Biblioteca Digital de Teses e Dissertações FURB instname:Universidade Regional de Blumenau instacron:FURB
collection	NDLTD
sources	NDLTD
topic	Engenharia ambiental Florestas Reflorestamento Desmatamento Levantamentos florestais Sensoriamento remoto
spellingShingle	Engenharia ambiental Florestas Reflorestamento Desmatamento Levantamentos florestais Sensoriamento remoto Moser, Paolo, 1985- Vibrans, Alexander Christian, 1959- McRoberts, Ronald Universidade Regional de Blumenau. Programa de Pós-Graduação em Engenharia Ambiental. Statistical and computational methods of forest attribute estimation and classification based on remotely sensed data
description	Orientador: Alexander Christian Vibrans. === Coorientador: Ronald McRoberts. === Tese (Doutorado em Engenharia Ambiental) - Programa de Pós-Graduação em Engenharia Ambiental, Centro de Ciências Tecnológicas, Universidade Regional de Blumenau, Blumenau.
author	Moser, Paolo, 1985- Vibrans, Alexander Christian, 1959- McRoberts, Ronald Universidade Regional de Blumenau. Programa de Pós-Graduação em Engenharia Ambiental.
author_facet	Moser, Paolo, 1985- Vibrans, Alexander Christian, 1959- McRoberts, Ronald Universidade Regional de Blumenau. Programa de Pós-Graduação em Engenharia Ambiental.
author_sort	Moser, Paolo, 1985-
title	Statistical and computational methods of forest attribute estimation and classification based on remotely sensed data
title_short	Statistical and computational methods of forest attribute estimation and classification based on remotely sensed data
title_full	Statistical and computational methods of forest attribute estimation and classification based on remotely sensed data
title_fullStr	Statistical and computational methods of forest attribute estimation and classification based on remotely sensed data
title_full_unstemmed	Statistical and computational methods of forest attribute estimation and classification based on remotely sensed data
title_sort	statistical and computational methods of forest attribute estimation and classification based on remotely sensed data
publishDate	2018
url	http://www.bc.furb.br/docs/TE/2018/364705_1_1.pdf
work_keys_str_mv	AT moserpaolo1985 statisticalandcomputationalmethodsofforestattributeestimationandclassificationbasedonremotelysenseddata AT vibransalexanderchristian1959 statisticalandcomputationalmethodsofforestattributeestimationandclassificationbasedonremotelysenseddata AT mcrobertsronald statisticalandcomputationalmethodsofforestattributeestimationandclassificationbasedonremotelysenseddata AT universidaderegionaldeblumenauprogramadeposgraduacaoemengenhariaambiental statisticalandcomputationalmethodsofforestattributeestimationandclassificationbasedonremotelysenseddata
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Statistical and computational methods of forest attribute estimation and classification based on remotely sensed data

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