Hemispherical photographs for estimation of leaf area index of Caatinga vegetation in Brazil, 2017-2019

• Published by: Environmental Information Data Centre
• Last updated: 16 February 2023
• Topic: Not added
• Licence: Other Licence ; View licence information

Summary

The dataset contains raw hemispherical photographs of canopy structure representative for 0.5 ha permanent plots (26) across Caatinga area in Brazil. The photographs were taken between March 2017 and August 2019, using a digital camera (NIKON D100) with a Sigma 4.5 mm F2.8 fisheye lens. When processed the photos provide a representative value of LAI (Leaf area index) for the plot. Full details about this dataset can be found at https://doi.org/10.5285/a1c0f869-6e03-4902-af94-31e90ba141a0

More from this publisher

All datasets from Environmental Information Data Centre

Related datasets

• Registered point cloud and raw scan terrestrial lidar data for canopy structure studies at tree and plot levels of Caatinga vegetation, Brazil, 2017-2019
• Leaf area index (LAI) in fertilised plots in the Central Amazon, 2017-2018

Search

Data links

Link to the data	Format	File added	Data preview
Supporting information	ZIP	16 February 2023	Not available
Download the data	N/A	16 February 2023	Not available

Additional information

View additional metadata

• Added to data.gov.uk: 2021-11-30T08:59:11
• Access contraints: If you reuse this data, you should cite: Moura, M.S.B., Veenendaal, E.M., Lloyd, J., Brunello, A.T., Miranda, R.Q., Ishida, F.Y. (2021). Hemispherical photographs for estimation of leaf area index of Caatinga vegetation in Brazil, 2017-2019. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/a1c0f869-6e03-4902-af94-31e90ba141a0
• Harvest GUID: a1c0f869-6e03-4902-af94-31e90ba141a0
• Extent: Latitude: -3° to -12°
• Extent: Longitude: -44° to -35°
• Dataset reference date: 2021-07-22 (publication)
• Responsible party: Brazilian Agriculture Research Corporation - Embrapa (author, pointOfContact); Wageningen University (author); Imperial College London (author, owner); University of Sao Paulo (author); Federal University of Pernambuco (author); James Cook University (author); NERC EDS Environmental Information Data Centre (custodian, publisher)
• ISO 19139 resource type: dataset
• Metadata language: eng
• Source Metadata: XML
• Source Metadata: HTML

Contact

Enquiries

Environmental Information Data Centre

Freedom of Information (FOI) requests

UK Centre for Ecology & Hydrology enquiry service Freedom of information requests for this dataset

Licence information

[]