Matthias Forkel
@matthiasforkel.bsky.social
Environmental remote sensing: microwaves and data-model fusion for vegetation, fires, water, carbon cycle, Prof @TUD Dresden University of Technology
Work was co-funded by @fireurisk.eu + @interreg.eu #WildfireCE + @daadworldwide.bsky.social to transfer knowledge, data and models about fuels and fires from 🇦🇺 to 🇩🇪
Data is available here: zenodo.org/records/1273...
Measurements are ongoing: www.emsbrno.cz/p.axd/en/Spr...
Congratulations, Johanna!
Data is available here: zenodo.org/records/1273...
Measurements are ongoing: www.emsbrno.cz/p.axd/en/Spr...
Congratulations, Johanna!
Sensitivity of fire weather indices, fuel sticks and satellite observations to fuel moisture content in Central European forests - Data
This data repository contains datasets for destructively measured fuels of different types (FMC_insitu), meteorological data including 10-hour fuel stick measurements (FWS_30min) and calculated fire w...
zenodo.org
May 13, 2025 at 7:46 PM
Work was co-funded by @fireurisk.eu + @interreg.eu #WildfireCE + @daadworldwide.bsky.social to transfer knowledge, data and models about fuels and fires from 🇦🇺 to 🇩🇪
Data is available here: zenodo.org/records/1273...
Measurements are ongoing: www.emsbrno.cz/p.axd/en/Spr...
Congratulations, Johanna!
Data is available here: zenodo.org/records/1273...
Measurements are ongoing: www.emsbrno.cz/p.axd/en/Spr...
Congratulations, Johanna!
... we found:
• A litter fuel moisture model from 🇦🇺 for Eucalyptus also works well for beech and spruce forests.
• Fire Weather Index from EFFIS and German WBI underestimate fire danger in bark beetled forest stands.
• Soil moisture and Sentinel-1 backscatter are no good predictors for dead-FMC.
• A litter fuel moisture model from 🇦🇺 for Eucalyptus also works well for beech and spruce forests.
• Fire Weather Index from EFFIS and German WBI underestimate fire danger in bark beetled forest stands.
• Soil moisture and Sentinel-1 backscatter are no good predictors for dead-FMC.
May 13, 2025 at 7:46 PM
... we found:
• A litter fuel moisture model from 🇦🇺 for Eucalyptus also works well for beech and spruce forests.
• Fire Weather Index from EFFIS and German WBI underestimate fire danger in bark beetled forest stands.
• Soil moisture and Sentinel-1 backscatter are no good predictors for dead-FMC.
• A litter fuel moisture model from 🇦🇺 for Eucalyptus also works well for beech and spruce forests.
• Fire Weather Index from EFFIS and German WBI underestimate fire danger in bark beetled forest stands.
• Soil moisture and Sentinel-1 backscatter are no good predictors for dead-FMC.
Also @esa.int covers our paper with a very nice animation about the key findings:
ESA - Smouldering woody debris fuels air pollution over the Amazon www.esa.int/Applications...
ESA - Smouldering woody debris fuels air pollution over the Amazon www.esa.int/Applications...
Smouldering woody debris fuels air pollution over the Amazon
A groundbreaking study, funded by ESA, reveals that fire emissions in the Amazon and Cerrado are largely driven by the smouldering combustion of woody debris. This crucial discovery highlights the sig...
www.esa.int
January 27, 2025 at 4:36 PM
Also @esa.int covers our paper with a very nice animation about the key findings:
ESA - Smouldering woody debris fuels air pollution over the Amazon www.esa.int/Applications...
ESA - Smouldering woody debris fuels air pollution over the Amazon www.esa.int/Applications...