LiDAR survey on 600 hectares in Bonal, Rio Branco, Acre, Brasil in 2018.

Bibliographic Details
Main Author: Santos, Maiza Nara dos
Publication Date: 2023
Other Authors: Keller, Michael, Batistella, Mateus
Format: Dataset
Source: Repositório de Dados de Pesquisa da EMBRAPA (Redape)
Download full: https://doi.org/10.48432/WCDTMJ
Summary: The LiDAR data Bonal (BON_A01_2018_LiDAR) refers to the survey carried out in Rio Branco municipality, Acre state, Brazil. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field. This dataset contains: a. Classified LAS formatted point cloud data – compressed LAS files (vendor delivered); b. Digital Terrain Model (vendor delivered); c. Map of LiDAR coverage area and block boundaries. “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State."
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spelling https://doi.org/10.48432/WCDTMJSantos, Maiza Nara dosKeller, MichaelBatistella, MateusLiDAR survey on 600 hectares in Bonal, Rio Branco, Acre, Brasil in 2018.LiDAR data set "Bonal" - BON_A01_2018_LiDARRedapeThe LiDAR data Bonal (BON_A01_2018_LiDAR) refers to the survey carried out in Rio Branco municipality, Acre state, Brazil. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field. This dataset contains: a. Classified LAS formatted point cloud data – compressed LAS files (vendor delivered); b. Digital Terrain Model (vendor delivered); c. Map of LiDAR coverage area and block boundaries. “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State."Os dados LiDAR Bonal (BON_A01_2018_LiDAR) referem-se ao levantamento realizado no município de Rio Branco, estado do Acre, Brasil. Os dados foram coletados no âmbito do projeto Paisagens Sustentáveis, um projeto apoiado pela Agência dos Estados Unidos para o Desenvolvimento Internacional (USAID) e Departamento de Estado dos EUA. O Serviço Florestal dos Estados Unidos trabalhando em colaboração com a Empresa Brasileira de Pesquisa Agropecuária (Embrapa) tornou possível o fornecimento de dados LiDAR de alta precisão com o objetivo de desenvolver novos métodos e gerar conhecimento no campo. Este conjunto de dados contém: a. Dados de nuvem de pontos formatados em LAS classificados – arquivos LAS compactados (entregues pelo fornecedor); b. Modelo Digital de Terreno (entregue pelo fornecedor); c. Mapa da área de cobertura LiDAR e limites de blocos. “Os dados foram adquiridos pelo projeto Paisagens Sustentáveis ​​Brasil, apoiado pela Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Serviço Florestal dos EUA, USAID e Departamento de Estado dos EUA.”2023-02-01info:eu-repo/semantics/openAccesshttps://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtmlAgricultural SciencesEarth and Environmental Sciencesremote sensingforest coverforest degradationLIDARsistema de informação geográficacobertura florestalland environmentinfo:eu-repo/semantics/datasetinfo:eu-repo/semantics/datasetinfo:eu-repo/semantics/publishedVersionDatasetreponame:Repositório de Dados de Pesquisa da EMBRAPA (Redape)instname:EMBRAPAinstacron:EMBRAPARepositório de Dados de PesquisaPUBhttps://www.redape.dados.embrapa.br/oaiopendoar:2023-02-02T05:00:01Repositório de Dados de Pesquisa da EMBRAPA (Redape) - EMBRAPAfalsedoi:10.48432/WCDTMJ
dc.title.none.fl_str_mv LiDAR survey on 600 hectares in Bonal, Rio Branco, Acre, Brasil in 2018.
LiDAR data set "Bonal" - BON_A01_2018_LiDAR
title LiDAR survey on 600 hectares in Bonal, Rio Branco, Acre, Brasil in 2018.
spellingShingle LiDAR survey on 600 hectares in Bonal, Rio Branco, Acre, Brasil in 2018.
Santos, Maiza Nara dos
Agricultural Sciences
Earth and Environmental Sciences
remote sensing
forest cover
forest degradation
LIDAR
sistema de informação geográfica
cobertura florestal
land environment
title_short LiDAR survey on 600 hectares in Bonal, Rio Branco, Acre, Brasil in 2018.
title_full LiDAR survey on 600 hectares in Bonal, Rio Branco, Acre, Brasil in 2018.
title_fullStr LiDAR survey on 600 hectares in Bonal, Rio Branco, Acre, Brasil in 2018.
title_full_unstemmed LiDAR survey on 600 hectares in Bonal, Rio Branco, Acre, Brasil in 2018.
title_sort LiDAR survey on 600 hectares in Bonal, Rio Branco, Acre, Brasil in 2018.
author Santos, Maiza Nara dos
author_facet Santos, Maiza Nara dos
Keller, Michael
Batistella, Mateus
author_role author
author2 Keller, Michael
Batistella, Mateus
author2_role author
author
dc.contributor.author.fl_str_mv Santos, Maiza Nara dos
Keller, Michael
Batistella, Mateus
dc.subject.none.fl_str_mv Agricultural Sciences
Earth and Environmental Sciences
remote sensing
forest cover
forest degradation
LIDAR
sistema de informação geográfica
cobertura florestal
land environment
topic Agricultural Sciences
Earth and Environmental Sciences
remote sensing
forest cover
forest degradation
LIDAR
sistema de informação geográfica
cobertura florestal
land environment
description The LiDAR data Bonal (BON_A01_2018_LiDAR) refers to the survey carried out in Rio Branco municipality, Acre state, Brazil. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field. This dataset contains: a. Classified LAS formatted point cloud data – compressed LAS files (vendor delivered); b. Digital Terrain Model (vendor delivered); c. Map of LiDAR coverage area and block boundaries. “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State."
publishDate 2023
dc.date.issued.fl_str_mv 2023-02-01
dc.type.openaire.fl_str_mv info:eu-repo/semantics/dataset
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/dataset
format dataset
status_str publishedVersion
dc.identifier.url.fl_str_mv https://doi.org/10.48432/WCDTMJ
url https://doi.org/10.48432/WCDTMJ
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
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eu_rights_str_mv openAccess
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dc.format.none.fl_str_mv Dataset
dc.publisher.none.fl_str_mv Redape
publisher.none.fl_str_mv Redape
dc.source.none.fl_str_mv reponame:Repositório de Dados de Pesquisa da EMBRAPA (Redape)
instname:EMBRAPA
instacron:EMBRAPA
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institution EMBRAPA
reponame_str Repositório de Dados de Pesquisa da EMBRAPA (Redape)
collection Repositório de Dados de Pesquisa da EMBRAPA (Redape)
repository.name.fl_str_mv Repositório de Dados de Pesquisa da EMBRAPA (Redape) - EMBRAPA
repository.mail.fl_str_mv
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