Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1037545
Research center of Embrapa/Collection: Embrapa Acre - Resumo em anais de congresso (ALICE)
Date Issued: 2015
Type of Material: Resumo em anais de congresso (ALICE)
Authors: OLIVEIRA, M. V. N. d'.
FIGUEIREDO, E. O.
OLIVEIRA, T. K. de
PAPA, D. de A.
Additional Information: MARCUS VINICIO NEVES D OLIVEIRA, CPAF-AC; EVANDRO ORFANO FIGUEIREDO, CPAF-AC; TADARIO KAMEL DE OLIVEIRA, CPAF-AC; DANIEL DE ALMEIDA PAPA, CPAF-AC.
Title: Potential use of Lidar (light detection and range) to planning agrosilvopastoral systems in degraded lands in Amazon observing the Brazilian forest low and minimizing carbon emissions.
Publisher: In: WORLD CONGRESS ON INTEGRATED CROP-LIVESTOCK-FOREST SYSTEMS; INTERNATIONAL SYMPOSIUM ON INTEGRATED CROP-LIVESTOCK-FOREST SYSTEMS, 3., 2015, Brasília, DF. Proceedings... Brasília, DF: Embrapa; Ufrgs, 2015.
Pages: p. 73.
Language: en
Keywords: Sistema agrossilvipastoril
Modelagem 3D
Agroforestería
Madera tropical
Teledetección.
Description: The use of Lidar to biomass and carbon stocks estimative in native and planted forests is well known and has increased in the last decade. Recently, Lidar was used to planning and monitoring forests operations and to estimate volume and biomass in the Antimary State Forest in the western Amazon. The use of this technology allowed the elaboration of high resolution 3D surface and canopy digital terrain models. These models information are essentials not only to forest companies but to the adequate planning of any land use. In this work we propose a methodology to agrosilvopastoral systems (ASPS) implementation through the use of Lidar which by the previous identification of the permanent preservation areas (PPA), forest cover and relief, guarantee the observance of the Brazilian forest low and minimize carbon emissions.
Thesagro: Agrossilvicultura
Essência florestal
Cobertura vegetal
Sensoriamento remoto
Raio laser
NAL Thesaurus: Agroforestry
Tropical wood
Remote sensing
Lidar
Lásers
Amazonia.
Data Created: 2016-02-18
Appears in Collections:Resumo em anais de congresso (CPAF-AC)

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