Felix Schiefer

@schiefeli
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2 Posts

🔎 Our projects #2: Collecting field data 🌳 for #remotesensing 🛰️ based models is time consuming & expensive. In the @DLR funded project UAVforSAT, we @KIT_Karlsruhe & our partners LUP in Potsdam use #deeplearning to extract reference data from very high-resolution #UAV-imagery.

With this reference data, we can then train satellite-based 🛰️ models at landscape-level. For example the fractional cover of standing #deadwood at the Saxon Switzerland National Park.

@schiefeli

🔎 Our projects part 1: 🔥 The ErWiN project improves knowledge of #fuels and #fire behaviour in #forests to assess and mitigate risks & impacts. Our work bases on #fieldsurveys, #flammabilityexperiments, #remotesensing and #firebehaviourmodels. With #LFE, 🚒 & @Thuenen_aktuell