LiDAR survey on 500 hectares in Humaitá, Porto Acre, Acre, Brasil in 2013.

Detalhes bibliográficos
Autor(a) principal: Keller, Michael
Data de Publicação: 2023
Outros Autores: Santos, Maiza Nara dos, Batistella, Mateus
Tipo de documento: Conjunto de dados
Título da fonte: Repositório de Dados de Pesquisa da EMBRAPA (Redape)
Texto Completo: https://doi.org/10.48432/JJM3DO
Resumo: The LiDAR data Humaitá (HUM_A01_2013_LiDAR) refers to the survey carried out in Porto Acre 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: LAZ format (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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network_name_str Repositório de Dados de Pesquisa da EMBRAPA (Redape)
repository_id_str
spelling https://doi.org/10.48432/JJM3DOKeller, MichaelSantos, Maiza Nara dosBatistella, MateusLiDAR survey on 500 hectares in Humaitá, Porto Acre, Acre, Brasil in 2013.LiDAR data set "Humaitá" - HUM_A01_2013_LiDARRedapeThe LiDAR data Humaitá (HUM_A01_2013_LiDAR) refers to the survey carried out in Porto Acre 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: LAZ format (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 Humaitá (HUM_A01_2013_LiDAR) referem-se ao levantamento realizado no município de Porto Acre, 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: formato LAZ (entregue pelo fornecedor); b. Modelo Digital de Terreno (entregue pelo fornecedor); c. Mapa da área de cobertura LiDAR e limites dos 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.”2023-03-17info: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:2023-03-18T05:00:01Repositório de Dados de Pesquisa da EMBRAPA (Redape) - EMBRAPAfalsedoi:10.48432/JJM3DO
dc.title.none.fl_str_mv LiDAR survey on 500 hectares in Humaitá, Porto Acre, Acre, Brasil in 2013.
LiDAR data set "Humaitá" - HUM_A01_2013_LiDAR
title LiDAR survey on 500 hectares in Humaitá, Porto Acre, Acre, Brasil in 2013.
spellingShingle LiDAR survey on 500 hectares in Humaitá, Porto Acre, Acre, Brasil in 2013.
Keller, Michael
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 500 hectares in Humaitá, Porto Acre, Acre, Brasil in 2013.
title_full LiDAR survey on 500 hectares in Humaitá, Porto Acre, Acre, Brasil in 2013.
title_fullStr LiDAR survey on 500 hectares in Humaitá, Porto Acre, Acre, Brasil in 2013.
title_full_unstemmed LiDAR survey on 500 hectares in Humaitá, Porto Acre, Acre, Brasil in 2013.
title_sort LiDAR survey on 500 hectares in Humaitá, Porto Acre, Acre, Brasil in 2013.
author Keller, Michael
author_facet Keller, Michael
Santos, Maiza Nara dos
Batistella, Mateus
author_role author
author2 Santos, Maiza Nara dos
Batistella, Mateus
author2_role author
author
dc.contributor.author.fl_str_mv Keller, Michael
Santos, Maiza Nara dos
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 Humaitá (HUM_A01_2013_LiDAR) refers to the survey carried out in Porto Acre 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: LAZ format (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 2023-03-17
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/JJM3DO
url https://doi.org/10.48432/JJM3DO
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml
eu_rights_str_mv openAccess
rights_invalid_str_mv https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml
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
instname_str EMBRAPA
instacron_str EMBRAPA
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
_version_ 1767415553250557952

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