LiDAR survey on 1000 hectares in Paragominas, Para, Brasil in 2013 - optional data set.

Detalhes bibliográficos
Autor(a) principal: Santos, Maiza Nara dos
Data de Publicação: 2023
Outros Autores: Keller, Michael, 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/VZIDFY
Resumo: The LiDAR data Paragominas – Fazenda Nova Neonita (PAR_A01_2013_LiDAR_optional_data_set) refers to the survey carried out in Paragominas municipality, Pará 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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oai_identifier_str doi:10.48432/VZIDFY
network_acronym_str EMBRAPA-08
network_name_str Repositório de Dados de Pesquisa da EMBRAPA (Redape)
repository_id_str
spelling https://doi.org/10.48432/VZIDFYSantos, Maiza Nara dosKeller, MichaelBatistella, MateusLiDAR survey on 1000 hectares in Paragominas, Para, Brasil in 2013 - optional data set.LiDAR data set "Paragominas - Fazenda Nova Neonita" - PAR_A01_2013_LiDAR_optional_data_setRedapeThe LiDAR data Paragominas – Fazenda Nova Neonita (PAR_A01_2013_LiDAR_optional_data_set) refers to the survey carried out in Paragominas municipality, Pará 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."The LiDAR data Paragominas – Fazenda Nova Neonita (PAR_A01_2013_LiDAR_optional_data_set) refers to the survey carried out in Paragominas municipality, Pará state, Brazil. The data were collected under the Sustainable Landscapes project, 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: The. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); B. Digital Terrain Model (vendor delivered); w. 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."2023-03-21info:eu-repo/semantics/openAccesshttps://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtmlAgricultural SciencesEarth and Environmental Sciencesremote sensingforest degradationforest coverLIDARsistema 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:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPARepositório de Dados de PesquisaPUBhttps://www.redape.dados.embrapa.br/oaiopendoar:2024-03-20T09:49:00.033096Repositório de Dados de Pesquisa da EMBRAPA (Redape) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)falsedoi:10.48432/VZIDFY
dc.title.none.fl_str_mv LiDAR survey on 1000 hectares in Paragominas, Para, Brasil in 2013 - optional data set.
LiDAR data set "Paragominas - Fazenda Nova Neonita" - PAR_A01_2013_LiDAR_optional_data_set
title LiDAR survey on 1000 hectares in Paragominas, Para, Brasil in 2013 - optional data set.
spellingShingle LiDAR survey on 1000 hectares in Paragominas, Para, Brasil in 2013 - optional data set.
Santos, Maiza Nara dos
Agricultural Sciences
Earth and Environmental Sciences
remote sensing
forest degradation
forest cover
LIDAR
sistema de informação geográfica
cobertura florestal
land environment
title_short LiDAR survey on 1000 hectares in Paragominas, Para, Brasil in 2013 - optional data set.
title_full LiDAR survey on 1000 hectares in Paragominas, Para, Brasil in 2013 - optional data set.
title_fullStr LiDAR survey on 1000 hectares in Paragominas, Para, Brasil in 2013 - optional data set.
title_full_unstemmed LiDAR survey on 1000 hectares in Paragominas, Para, Brasil in 2013 - optional data set.
title_sort LiDAR survey on 1000 hectares in Paragominas, Para, Brasil in 2013 - optional data set.
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 degradation
forest cover
LIDAR
sistema de informação geográfica
cobertura florestal
land environment
topic Agricultural Sciences
Earth and Environmental Sciences
remote sensing
forest degradation
forest cover
LIDAR
sistema de informação geográfica
cobertura florestal
land environment
description The LiDAR data Paragominas – Fazenda Nova Neonita (PAR_A01_2013_LiDAR_optional_data_set) refers to the survey carried out in Paragominas municipality, Pará 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 2023-03-21
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/VZIDFY
url https://doi.org/10.48432/VZIDFY
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:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (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) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv
_version_ 1808846633291481088

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