Published May 29, 2024 | Version v1
Software Open

burn_viz: Visualizing Wildfire Across Time & Space

  • 1. ROR icon University of Washington

Description

burn_viz is a web application that allows users to visualize relationships between wildfire occurrence, the location of human populations, and different landcover types. Understanding these relationships is crucial for risk assessment and policymaking, but it can be challenging to navigate data from disparate sources that may be provided in different formats and spatial resolutions. Integrating these elements into a interactive visualization creates an opportunity to explore how wildfire, population, and landcover interact over space and time.

The web application is accessible at https://reedhum.shinyapps.io/burn_viz/ or can be deployed locally using the R code and data files published here.

Files

burn_viz.zip

Files (67.3 MB)

Name Size Download all
md5:6bac4ae29613993a24466194c7ce9533
67.3 MB Preview Download

Additional details

Funding

U.S. National Science Foundation
Collaborative Research: GCR: Managing Future Risk of Increasing Simultaneous Megafires 2019762

Software

Programming language
R

References

  • Giglio, L., Justice, C., Boschetti, L., Roy, D. 2021. MODIS/Terra+Aqua Burned Area Monthly L3 Global 500m SIN Grid V061 [Data set]. NASA EOSDIS Land Processes Distributed Active Archive Center. Accessed 2024-05-29 from https://doi.org/10.5067/MODIS/MCD64A1.061
  • Bondarenko M., Kerr D., Sorichetta A., and Tatem, A.J. 2020. Census/projection-disaggregated gridded population datasets for 189 countries in 2020 using Built-Settlement Growth Model (BSGM) outputs. WorldPop, University of Southampton, UK. doi:10.5258/SOTON/WP00684
  • Commission for Environmental Cooperation (CEC). 2020. 2020 Land Cover of North America at 30 Meters. North American Land Change Monitoring System. Canada Centre for Remote Sensing (CCRS), U.S. Geological Survey (USGS), Comisión Nacional para el Conocimiento y Uso de la Biodiversidad (CONABIO), Comisión Nacional Forestal (CONAFOR), Instituto Nacional de Estadística y Geografía (INEGI). Ed. 1.0, Raster digital data [30-m].