... we found:
โข A litter fuel moisture model from ๐ฆ๐บ for Eucalyptus also works well for beech and spruce forests.
โข Fire Weather Index from EFFIS and German WBI underestimate fire danger in bark beetled forest stands.
โข Soil moisture and Sentinel-1 backscatter are no good predictors for dead-FMC.
13.05.2025 19:46 โ ๐ 2 ๐ 0 ๐ฌ 1 ๐ 0
We investigated fuel moisture content ๐ง๐ฅ in Central European forests
โก๏ธ www.sciencedirect.com/science/arti...
We conduced automated and destructive measurements of litter, woody debris and of live vegetation. Then we compared with two models, Fire Weather Indices and with satellite observations ...
13.05.2025 19:46 โ ๐ 5 ๐ 0 ๐ฌ 1 ๐ 0
Matthias Forkel and Christopher Marrs presenting historical spy imagery at the booth of the Saxon state office for Geoinformation at the book convention in Leipzig
Historical spy imagery for the entire State of Saxony ๐ฉ๐ช is now available to the public. Together with #GeoSN we published @leipzigerbuchmesse.bsky.social country-wide georeferenced mosaics for 1965 and 1975.
geoportal.sachsen.de
28.03.2025 06:32 โ ๐ 4 ๐ 0 ๐ฌ 0 ๐ 0
New #collaboration with @matthiasforkel.bsky.social & his team! Dr. Christoph Jรถrges is working with the Environmental #RemoteSensing research group at @tudresden.bsky.social on his postdoctoral studies.
๐ฏ๐ง๐ต๐ฒ ๐ด๐ผ๐ฎ๐น: Imroving the integration of remote sensing data into the #LPJmL model. ๐๐งช #reserarch
29.01.2025 14:51 โ ๐ 3 ๐ 1 ๐ฌ 1 ๐ 0
Forest and mountain lover ๐ฒ๐๏ธ ๐ณ | Academic ๐ | Earthobserver ๐ | Drone pilot ๐
Plant Ecology - Ecophysiology - Plant hydraulics - Drought stress - Climate change
#Satellites #Science #SeaIce #ExtremeLatitudes.
Remote Sensing of Polar Regions at University of Bremen,
Institute of Environmental Physics (IUP).
https://seaice.uni-bremen.de
Doctoral Climate Researcher at ATMOS Lab, CORAL,IIT KGP.
Interests: Vegetation dynamics, Vegetation-climate interactions, Atmosphere-land interactions, Remote Sensing; Extreme Events.
https://sites.google.com/view/rahulkashyaprsm/home
Scientist working on monitoring emissions of air pollutants and greenhouse gases at the Copernicus Atmosphere Monitoring Service at ECMWF
๐ซ๐๐๐ป๐ณ๐ดโโ๏ธ๐ฅ๐๏ธ๐ฆ
๐๏ธโ๏ธ
Turning Agricultural Data into Insights | R Programming Educator & Ag Data Analyst Expert ๐๐ with #Rstat | Advocate for Sustainable Agriculture ๐ฑ
https://johaniefournieragr.link/
Doctoral researcher@Max Planck Institute for Biogeochemistry | Simulating inter-annual variability of carbon fluxes | de-ranit.github.io
Australian ecologist into wildfire, wildlife, and the wonders of nature
Associate Professor | Department of Geography, Environment, and Geomatics | University of Guelph | Remote sensing of environmental change
Earth resilience, tipping behavior, nonlinear thinking, stability analysis, climate change, photosynthesis, soil respiration, tree mortality, Fulbright Scholar
https://sites.google.com/view/chuixiangyi
Peking University, carbon cycle, vegetation dynamics, water-carbon coupling
We are a consortium of 19 institutions from all over Europe involved in the Horizon Europe funded project: Artificial Intelligence and Machine Learning for Enhanced Representation of Processes and Extremes in Earth System Models.
https://ai4pex.org
Scientific Officer at the Copernicus Climate Change Service ๐ช๐บ | Satellite Observations ๐ฐ๏ธ | Ocean and Cryosphere ๐โ๏ธ๐ง
Find the facts that fuel the climate fight!
Accurate and entertaining newsletter on energy and the environment. We dig deep into primary research so you donโt have to.
Free subscriptions at sweetlightning.ghost.io.
Holen wir uns die Zukunft zurรผck.
Infos unter: volt.link/deutschland
The Pan-European political movement acting to solve our shared challenges & build a better future together ๐ช๐บ
Starter Pack: https://go.bsky.app/3gdrL31
https://volteuropa.org
Wissen fรผrs Leben - Willkommen an der Technischen Universitรคt Dresden!
๐๏ธ tud.de/newsportal
๐ tud.de/sins
โน๏ธ tud.de/impressum
Humboldtยดs Earth Observation Lab focuses on a better understanding of coupled human-environment systems based on remote sensing data and geoinformation.
https://eolab.geographie.hu-berlin.de
Earth Observation ๐ฐ๏ธ | LULC ๐พ๐ณ | Machine Learning & Deep Learning | Generate information from (EO) data ๐
Working @EO Lab at Humboldt University & @Institute for Strategies and Technology Assessment at Julius Kรผhn-Institute