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

Description

This dataset comprises Landsat-based fire severity data collected from the Iberian Peninsula, Ground-Truth Fires, and Sierra de Gredos (West-Central Spain), as detailed in the paper titled "Optimising Regional Fire Severity Mapping using Pixel-Based Image Compositing." The dataset includes GeoJSON files representing 30 m by 30 m pixels, containing data on pre- and post-fire NBR, NIR, SWIR2, sensing times, Relativized Burned Ratio, optimality values, fire year, ecoregion, and the 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: Dataset Name: Fire Severity Data for Iberian Peninsula, Ground-Truth Fires, and Sierra de Gredos 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, data processing techniques, and the application of these datasets in fire severity mapping across the Iberian Peninsula, Ground-Truth Fires, and Sierra de Gredos.

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