University of Padua

Fuel model input raster data EU

Pirotti, Francesco and Kutchartt, Erico and Olabarria, José Ramón Gonzalez and Granja, Larissa Maria (2023) Fuel model input raster data EU. [Data Collection]

Original publication URL: https://zenodo.org/records/8375279

Collection description

<strong>WORKING VERSION.</strong> All layers are visible in this linked webgis app along with estimated error. The layers available in this dataset are in a WGS84 geographic coordinate reference system (EPSG:4326) where latitude and longitude coordinates at 0.0008983 degrees ground sampling distance per cell, which corresponds to about 1 ha, i.e. ~100 m x ~100 m at the equator, but decreases in area with increasing latitude as the coordinate system is not equal-area, e.g. ~70 m at 45° latitude and ~50 m at 60° latitude. Aspect.tif, slope.tif and elevation.tif represent Earth surface morphology biomass2020fireres.tif - Biomass values at year 2020 Mg/ha CanopyBulkDensity.tif - Amount of canopy biomass per volume of canopy (kg/m<sup>3</sup>) CanopyBaseHeight.tif - Height of lower canopy from the ground (m) CanopyHeight.tif - Total height of canopy from the ground (m) Fuel Model FuelModelClasses_ScottBurgan.tif - the category of Fuel Model according to Scott&amp;Burgan 2005 FuelModelClasses_Aragonese.tif - the category of Fuel Model according to Aragonese et al. 2023 DOI: 10.5194/essd-15-1287-2023 - values are from 1 to 24, with a Look Up Table for correspondence (values are ordered matching the order in table 1 of the article) . FuelModelClasses_ScottBurgan.clr/qml CLR/QML - style file for QGIS FuelModelClasses_Aragonese.clr/qml CLR/QML - style file for QGIS FuelModelPercent - the percent of fuel model category belonging to that pixel, between 0 and 100 FuelModelAllPerc - multi-band raster with percent of each fuel model category to belong to each pixel.

DOI: 10.5281/zenodo.8244756
Keywords: fire models, remote sensing, earth observation
Subjects: Life Sciences > Applied Life Sciences, Biotechnology and Molecular and Biosystems engineering: Applied plant and animal sciences; forestry; food sciences; applied biotechnology; environmental, and marine biotechnology; applied bioengineering; biomass, biofuels; biohazard > Applied plant sciences (including crop production, plant breeding, agroecology, forestry, soil biology)
Physical:Sciences and Engineering > Earth System Science: Physical geography, geology, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management > Earth observations from space/remote sensing
Department: Departments > Dipartimento di Territorio e sistemi agro-forestali (TESAF)
Depositing User: Research Data Unipd
Date Deposited: 18 Oct 2023 13:37
Last Modified: 18 Oct 2023 13:41
Creators/Authors:
CreatorsEmailORCID
Pirotti, Francescofrancesco.pirotti@unipd.itorcid.org/0000-0002-4796-6406
Kutchartt, EricoUNSPECIFIEDorcid.org/0000-0002-9134-4591
Olabarria, José Ramón GonzalezUNSPECIFIEDorcid.org/0000-0002-5040-712X
Granja, Larissa MariaUNSPECIFIEDUNSPECIFIED
Type of data: Text
Research funder: European Commission H2020
Research project title: Innovative technologies and socio-ecological-economic solutions for fire resilient territories in Europe
Grant number: 101037419
Collection period:
FromTo
2023UNSPECIFIED
Resource language: en
Metadata language: en
Publisher: Zenodo
Status: Published
Original publication URL: https://zenodo.org/records/8375279
Date: 2023
Date type: Publication
Copyright holders: The Authors
URI: https://researchdata.cab.unipd.it/id/eprint/1043

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