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FirSt 2.0

Projektdaten
Title:
FirSt 2.0 - Forest damage inventory based on rapid Satellite technologies
Funding:
German Federal Ministry of Transport and Digital Infrastructure

Funding Program: mFUND (
19F2127B)
Partner:
LUP – Luftbild Umwelt Planung GmbH (Lead)

Thünen Institute of Forest Ecosystems

State Forest Administration Mecklenburg-Western Pomerania

Landesbetrieb Wald und Holz NRW

Bavarian Forest National Park

Waldbesitzerverband Niedersachsen e.V.

LiveEO GmbH

Orbital Oracle Technologies GmbH
 
Duration:
01.07.2020 – 30.06.2023
Research Associate:
N.N.
Project Lead:
Prof. Dr. Birgit Kleinschmit
Dr. Michael Förster

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Description

Logo FirSt 2.0
Lupe

With regard to the massive drought-induced forest damage in Germany, FirSt 2.0 is a research project for cross-scale and continuous vitality and forest damage analyses using remote sensing and artificial intelligence. The aim of the project is to develop a software product for stakeholders from forestry and nature conservation for the satellite-based and AI-based investigation of the condition of Germany's forests with a focus on several types of damage.

Against the background of climatic changes and increasing, diverse pest infestations, the project aims to develop software applications that can be used for monitoring and prevention of various damaging events (storm, calamities, drought). The combination of different multisensor remote sensing data (radar, optical, hyperspectral and thermal data) with on-site measurements will allow the vitality of the forest to be continuously monitored and damage hotspots to be identified at an early stage, thus providing the forestry industry with the means to take rapid countermeasures. The analysis of large amounts of data by cloud computing and AI algorithms enables the modelling and forecasting of damage chains. This can be the basis for optimised forest management and the implementation of local prevention measures. In addition, the application serves as a communication interface between the forest stakeholders and thus supports decision-making processes.

The research consortium is headed by the company Luftbild Umwelt Planung GmbH, which will incorporate the results into a nationwide forest vitality monitoring system (www.forestwatch-DE.org). The Geoinformation in Environmental Planning Lab will support this process by developing AI-based algorithms based on drone flights in different focus areas in Germany.

Drone flight

The video shows the flyover with a dji Phantom drone over a forest fire area near Treuenbrietzen. You can see that the mainly affected pines are still standing, but no longer have any needles because the damage to the trunk was too severe.

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