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EXDIMUM

Project description

The core objective of the EXDIMUM project (Extremwettermanagement mit digitalen Multiskalen-Methoden), is to tackle the complexities of extreme water management within the context of complex challenges. This stems from the acknowledgment that global climate change not only results in changes to average precipitation levels but also leads to a heightened intensity of extreme events, including droughts and local heavy rainfall.

The IGP plays a significant role in this project by providing waterbody detection and land cover mapping over the years of 2018-2023. To this end, we apply a time series of satellite data with different temporal and spatial resolutions and advanced deep learning techniques. These products can be also considered as input for the Hydrological model.

Furthermore, a change analysis of the classification maps from 2018 to 2023 was performed and it revealed a clear increasing trend in the number of dead trees over the years.

 

Water Detection Map

Water_Detection_Map

Land Cover Maps

2018 2019 2020 2021 2022 2023

Recorded dead trees in the Harz Mountains

Erfasste tote Bäume im Harz

Project Data

Project:  EXDIMUM (Extremwettermanagement mit digitalen Multiskalen-Methoden)
Duration:  01.02.2022 – 31.01.2025
Cooperation partner:  TU BS - Institut für Betriebssysteme und Rechnerverbund - Abteilung Algorithmik
  Clausthal University of Technology
  University of Kiel
  DSI Aerospace Technologie GmbH
  REMONDIS Aqua Industrie GmbH & Co. KG
  Ameno GmbH
  EURAWASSER Betriebsführungsgesellschaft mbH
Funding institution: BMBF
Contact: Fatemeh Saba, Aida Taghavi
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