a1c0f869-6e03-4902-af94-31e90ba141a0 English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:26:50 UK GEMINI 2.3 WGS 84 Hemispherical photographs for estimation of leaf area index of Caatinga vegetation in Brazil, 2017-2019 2021-07-22 publication https://catalogue.ceh.ac.uk/id/a1c0f869-6e03-4902-af94-31e90ba141a0 10.5285/a1c0f869-6e03-4902-af94-31e90ba141a0 doi: 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 10.5285/a1c0f869-6e03-4902-af94-31e90ba141a0 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 Moura, M.S.B. Brazilian Agriculture Research Corporation - Embrapa magna.moura@embrapa.br https://orcid.org/0000-0002-2844-1399 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Veenendaal, E.M. Wageningen University elmar.veenendaal@wur.nl https://orcid.org/0000-0001-8230-2501 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Lloyd, J. Imperial College London readingroos@gmail.com author Brunello, A.T. Universidade de São Paulo brunelloflorestal@gmail.com https://orcid.org/0000-0001-7654-5873 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Miranda, R.Q. Universidade Federal de Pernambuco rodrigo.qmiranda@gmail.com https://orcid.org/0000-0002-5464-2397 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Ishida, F.Y. James Cook University yoko.ishida@jcu.edu.au https://orcid.org/0000-0002-3251-8192 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Moura, M.S.B. Brazilian Agriculture Research Corporation - Embrapa Magna.moura@embrapa.br https://orcid.org/0000-0002-2844-1399 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information pointOfContact NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher Imperial College London magna.moura@embrapa.br owner Caatinga leaf area index canopy and tree architecture otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions 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 grid 20 English utf8 biota environment 2017-03-01 2019-08-31 -44 -35 -12 -3 jpg NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://catalogue.ceh.ac.uk/datastore/eidchub/a1c0f869-6e03-4902-af94-31e90ba141a0 Download the data Download a copy of this data fileAccess https://data-package.ceh.ac.uk/sd/a1c0f869-6e03-4902-af94-31e90ba141a0.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 The photos were taken using a digital camera (NIKON D100) with a Sigma 4.5 mm F2.8 fisheye lens. Under overcast sky conditions one picture was taken on each intersection of four subplots resulting in a total of 36 photos in each plot for 12 plots. For other sites, one photo was taken at the centre of the subplot. Pictures were taken with the top of the camera facing North at a height of approximately 1 m. The quantity of photos for each plot may vary because in some occasions there was a problem with the trigger bottom of the camera, or rapid changes in sky conditions precluded taking a picture at that location or necessitated rejection of the image afterwards. When processed the photos provide a representative value of LAI for the whole plot, not for individual subplots as the image, depending on vegetation height, may include tree canopies up to 20 m distance from the camera.