Akandil, Cengiz · Plekhanova, Elena · Rietze, Nils · et al.

33 files · 1.2 GB · csv, shapefile, tiffdeclared

This repository contains the processed datasets used to analyse the spatial relationship between artificial light at night (ALAN) and Arctic fire occurrence. The dataset includes cumulative ALAN layers, binary masked ALAN layers, fire polygon shapefiles, and a final analysis table. The cumulative ALAN layers provide aggregate digital number (DN) values representing light intensity. The masked ALAN layers are binary rasters, where values of 1 indicate lit areas and values of 0 indicate unlit areas. Fire scar centroids were generated from the fire polygons and used to calculate the distance from each fire scar to the nearest lit area. The final analysis table contains the distance to the nearest lit area for each fire scar and control points. The fire polygon shapefile includes fire scars for the period 2001-2013.

Karamichali, Ioanna · Stefanidou, Eleni · Nakas, Christos · et al.

22 files · 418 MB · csv, pdf, shapefiledeclared

This deliverable presents the Phase 2 results of the BioProWRAP project, developed under the CLIMAAX framework, and focuses on enriching the initial wildfire‑risk assessment of Phase 1 through the integration of drought risk-an interconnected hazard with potential cascading effects-alongside diverse local datasets and live biodiversity inputs (crowdsourcing observations and eDNA). Phase 2 also enhances public engagement and inclusion through educational workshops and guided excursions in the three high‑risk, high‑value areas identified in Phase 1. The work was carried out by the REMTH team with continued scientific support from UTH, Greece.