Identification

Title

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

Abstract

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

Resource type

dataset

Resource locator

https://catalogue.ceh.ac.uk/datastore/eidchub/a1c0f869-6e03-4902-af94-31e90ba141a0

description: Download a copy of this data

function: download

https://data-package.ceh.ac.uk/sd/a1c0f869-6e03-4902-af94-31e90ba141a0.zip

description: Supporting information available to assist in re-use of this dataset

function: information

Unique resource identifier

code

https://catalogue.ceh.ac.uk/id/a1c0f869-6e03-4902-af94-31e90ba141a0

codeSpace

doi:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

biota

environment

Keywords

Geographic location

West bounding longitude

-44

East bounding longitude

-35

North bounding latitude

-3

South bounding latitude

-12

Temporal reference

Temporal extent

Begin position

2017-03-01

End position

2019-08-31

Dataset reference date

date type

publication

effective date

2021-07-22

Frequency of update

Quality and validity

Lineage

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.

Conformity

Conformity report

specification

title

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

reference date

date type

publication

effective date

2010-12-08

degree

explanation

Data format

name of format

jpg

version of format

Constraints related to access and use

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

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

Responsible organisations

Responsible party

organisation name

Brazilian Agriculture Research Corporation - Embrapa

email address

magna.moura@embrapa.br

web address

https://orcid.org/0000-0002-2844-1399

description: 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.

function: information