rOzCBI in a nutshell:
- OpenDataKit forms to evaluate a burnt site.
- Helpers to calculate the OzCBI from the burn grading field data for both forest and heath communities.
- Instructions to get up and running with data capture and data analysis.
- Working examples of the entire data flow.
To evaluate the severity of burns, the differential normalised burn
ratio (dNBR) of a burnt site can be derived from satellite imagery
cost-effectively and on a large scale. The NBR is calculated from NIR
and SWIR bands as
rOzCBI contains background, digital data capture, analysis, and visualisation for the calculation of OzCBI, a composite burn index for the initial assessment of the short-term burn severity from remotely sensed data.
OzCBI was derived from GeoCBI, which was first described in De Santis,
Angela & Chuvieco, Emilio.
(2009) (Fulltext
(pdf))
GeoCBI: A modified version of the Composite Burn Index for the initial
assessment of the short-term burn severity from remotely sensed data.
Remote Sensing of Environment 113
DOI
10.1016/j.rse.2008.10.011
OzCBI was further modified to suit Australian vegetation communities by Valerie Densmore at DBCA in Western Australia. This version of the OzCBI is currently being tested and validated so the current version may not reflect the final form. Feedback on the use and validity of OzCBI is welcome as GitHub issues.
OzCBI has been published as
V. S. Densmore, R. J. van Dongen, R. Ong & B. G. Harris (2023) OzCBI: the composite burn index adapted to assess fire severity and key fauna habitat features in Australian ecosystems, Australian Forestry, 86:1, 1-21, DOI: 10.1080/00049158.2023.2168400
rOzCBI
supplies an Xform to capture data digitally using OpenDataKit,
then goes on to access the data directly from R using the package
ruODK
, and provides helper methods to calculate the OzCBI from the
captured data.
You can install the development version from GitHub with:
# install.packages("devtools")
remotes::install_github("dbca-wa/rOzCBI")
The overall data flow from digital form to data analysis is described at ruODK.
An ODK setup with ODK Build, Central, Collect, and ruODKRead vignette Digital Data Capture on the design and setup of the digital data capture form and infrastructure.
Read vignette Data analysis on access, analysis, and visualisation of the captured burn grading data using the GeoCBI assessment method.
Windows users might see the curl
error
unable to get local issuer certificate
when using an ODK Central
instance with self-signed SSL certificates. This can be fixed
(source) through the
following line:
library(httr)
httr::set_config(httr::config(ssl_verifypeer = FALSE))
As it decreases security, it is recommended to only run this when necessary.
The methodology was compiled and adapted to Western Australian vegetation by Valerie Densmore (DBCA).
The R package rOzCBI
was developed, and is maintained, by Florian
Mayer for the Western Australian Department of Biodiversity,
Conservation and Attractions (DBCA).
The background image in the package logo shows the aerial view of a prescribed burn in the Pilbara. Photo: Paul Rampant (DBCA).
To cite package rOzCBI
in publications use:
citation("rOzCBI")
#> To cite rOzCBI in publications use:
#>
#> Valerie Densmore, Florian W. Mayer (2020). rOzCBI: A Burn Severity
#> Assessment Toolkit for Austral Vegetation Communities. R package
#> version x.x.x. https://github.com/dbca-wa/rOzCBI
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Misc{,
#> title = {rOzCBI: A Burn Severity Assessment Toolkit for Austral Vegetation Communities},
#> author = {Valerie Densmore and Florian W. Mayer},
#> note = {R package version x.x.x},
#> year = {2020},
#> url = {https://github.com/dbca-wa/rOzCBI},
#> }
Feedback and bug reports are welcome as issues.
The package development workflow is described in vignette Development.