Optimising Regional Fire Severity Mapping using Pixel-Based Image Compositing dataset

Resumo

This dataset comprises Landsat-based fire severity data collected for large forest fires (>100 ha) that occurred during the summer in the Iberian Peninsula from 2000 to 2023. It also includes historically validated fires in the Mediterranean region of Sierra de Gredos, West Central Spain, based on the Spanish General Fire Statistics (EGIF), covering the period from 1985 to 2015. Additionally, the dataset contains fire severity data for two ground-truthed fires, utilizing available Composite Burn Index (CBI) data as detailed in the paper titled "Optimising Regional Fire Severity Mapping using Pixel-Based Image Compositing." The dataset includes: CBI Data: Ground-truthed severity data for specific fires. GeoJSON files representing 30 m by 30 m pixels, containing: Pre- and post-fire Normalized Burn Ratio (NBR) Near-Infrared (NIR) Band Short-Wave Infrared 2 (SWIR2) Band Sensing Times Relativized Burned Ratio (RBR) Optimality Values Fire Year Ecoregion Vegetation Types Affected by the Fire Pre-fire vegetation information was derived from Land Use-Land Cover maps provided by the CORINE project. General Information: Creator: Universidad de Castilla La Mancha / Natalia Quintero, Olga Viedma, Sander Veraverbeke, José Manuel Moreno Date of Collection: 2000-2023 Data Format: GeoJSON, CSV Additional Information: For a detailed explanation of the methodology, data collection process, and the significance of each attribute, please refer to the associated research paper titled "Optimising Regional Fire Severity Mapping using Pixel-Based Image Compositing." The paper provides comprehensive insights into the study's objectives and data processing techniques.