Moura, M.S.B.; Lloyd, J.; Carvalho, H.F.S.; Miranda, R.Q.

Registered point cloud and raw scan terrestrial lidar data for canopy structure studies at tree and plot levels of Caatinga vegetation, Brazil, 2017-2019

This dataset contains 3D Lidar scans representative for 0.5 ha permanent sample plots at Caatinga, Brazil. Two plots were located in Serra das Almas Reserve (SDA) and one plot in Petrolina (PET). The dataset also includes scans completed inside and outside for 10 individual trees. Scans were taken between July 2017 and May 2019.

Publication date: 2021-11-04

Get the data

This dataset is available under the terms of the Open Government Licence

This data is available as xyz or ply

You must cite: Moura, M.S.B.; Lloyd, J.; Carvalho, H.F.S.; Miranda, R.Q. (2021). Registered point cloud and raw scan terrestrial lidar data for canopy structure studies at tree and plot levels of Caatinga vegetation, Brazil, 2017-2019. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/6a29d55e-b40e-4f8c-8dd2-5cf0e27634ac

 

Where/When

Study area
Temporal extent
2017-07-01    to    2019-05-31

Provenance & quality

3D scans were taken using a TLS 3D Faro Focus scanner and Faro Scene software was used to register the raw scans and export the point cloud in xyz format.

Correspondence/contact details

Dr Magna Soelma Beserra de Moura
Brazilian Agriculture Research Corporation - Embrapa
 magna.moura@embrapa.br

Authors

Moura, M.S.B.
Brazilian Agriculture Research Corporation - Embrapa
Lloyd, J.
Imperial College London
Carvalho, H.F.S.
Federal University of Pernambuco
Miranda, R.Q.
Federal University of Pernambuco

Other contacts

Custodian
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk
Publisher
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk
Rights Holder
Imperial College London

Additional metadata

Topic categories
Biota , Environment
Keywords
Caatinga,  canopy and tree architecture,  Lidar,  Point Cloud
INSPIRE Theme
Environmental Monitoring Facilities
Spatial representation type
Raster
Spatial reference system
WGS 84
Last updated
05 November 2021 10:21