Document


Title

Methodological proposal for automated detection of the wildland-urban interface: application to the metropolitan regions of Madrid and Barcelona
Document Type: Journal Article
Author(s): Andrea Zambrano-Ballesteros; Sabina Florina Nanu; José Tomás Navarro Carrión; Alfredo Ramon-Morte
Publication Year: 2021

Cataloging Information

Keyword(s):
  • geo open data
  • geo small data
  • GIS - geographic information system
  • LiDAR - Light Detection and Ranging
  • PostGIS
  • SIOSE
  • Spain
  • wildfire
Region(s):
  • International
Record Maintained By:
Record Last Modified: June 10, 2021
FRAMES Record Number: 63796

Description

Official information on Land Use Land Cover is essential for mapping wildland–urban interface (WUI) zones. However, these resources do not always provide the geometrical or thematic accuracy required to delimit buildings that are easily exposed to risk of wildfire at the appropriate scale. This research shows that the integration of active remote sensing and official Land Use Land Cover (LULC) databases, such as the Spanish Land Use Land Cover information system (SIOSE), creates the synergy capable of achieving this. An automated method was developed to detect WUI zones by the massive geoprocessing of data from official and open repositories of the Spanish national plan for territory observation (PNOT) of the Spanish national geographic institute (IGN), and it was tested in the most important metropolitan zones in Spain: Barcelona and Madrid. The processing of trillions of LiDAR data and their integration with thousands of SIOSE polygons were managed in a Linux environment, with libraries for geographic processing and a PostgreSQL database server. All this allowed the buildings that are exposed to wildfire risk with a high level of accuracy to be obtained with a methodology that can be applied anywhere in the Spanish territory.

Online Link(s):
Citation:
Zambrano-Ballesteros, Andrea; Nanu, Sabina Florina; Navarro-Carrión, José Tomás; Ramón-Morte, Alfredo. 2021. Methodological proposal for automated detection of the wildland-urban interface: application to the metropolitan regions of Madrid and Barcelona. ISPRS International Journal of Geo-Information 10(6):381.