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

Name: Registered point cloud and raw scan terrestrial lidar data for canopy structure studies at tree and plot levels of Caatinga vegetation, Brazil, 2017-2019
Creator: Environmental Information Data Centre

Published by:: Environmental Information Data Centre
Last updated:: 16 February 2023
Topic:: Not added
Licence:: Other Licence
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Summary

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. Full details about this dataset can be found at https://doi.org/10.5285/6a29d55e-b40e-4f8c-8dd2-5cf0e27634ac

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Link to the data	Format	File added	Data preview
Download Supporting information , Format: ZIP, Dataset: Registered point cloud and raw scan terrestrial lidar data for canopy structure studies at tree and plot levels of Caatinga vegetation, Brazil, 2017-2019	ZIP	16 February 2023	Not available
Download Download the data , Format: N/A, Dataset: Registered point cloud and raw scan terrestrial lidar data for canopy structure studies at tree and plot levels of Caatinga vegetation, Brazil, 2017-2019	N/A	16 February 2023	Not available

Additional information

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Added to data.gov.uk: 2021-11-05T10:21:38
Access contraints: If you reuse this data, you should 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
Harvest GUID: 6a29d55e-b40e-4f8c-8dd2-5cf0e27634ac
Extent: Latitude: -4.511° to -9.319°; Longitude: -41.77° to -39.232°
Spatial reference system
Dataset reference date: 2021-11-04 (publication)
Frequency of update
Responsible party: Brazilian Agriculture Research Corporation - Embrapa (author, pointOfContact); Imperial College London (author, owner); Federal University of Pernambuco (author); NERC EDS Environmental Information Data Centre (publisher, custodian)
ISO 19139 resource type: dataset
Metadata language: eng
Source Metadata: XML; HTML

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