GIScience Colloquium Talk on Remote sensing in hazard and disaster monitoring, April 24

we cordially invite everybody interested to our next open GIScience colloquium talk
on Mon, April 24, 2.15 pm,
at the Department of Geography, Heidelberg University, Im Neuenheimer Feld 348, Lecture Hall, Room 015.
The presentation will be given by Prof. Dr. Christine Pohl (Osnabrück).
The topic is:
The role of multimodal and multitemporal remote sensing in hazard and disaster monitoring

Natural disasters caused by geophysical, climatological, meteorological and hydrological events harm societies and create large damage. Within the disaster management cycle the four phases disaster event, response, recovery and risk reduction greatly benefit from geographical data. The observations of location, frequency and magnitude of the event as well as the information on the destruction of natural resources, infrastructure and settlements often originate from satellite sensors of different types. Remote sensing is a major source of relevant information to support the assessment of hazards as well as the mitigation of the disaster impact. Satellites provide images with different spectral coverage and spatial resolutions on a regular basis. Especially since the availability of Sentinel-1, -2 and -3 imagery large volumes of data are acquired and archived. This enables a very high temporal resolution creating new possibilities in time series and multitemporal image analysis but also poses new challenges. The data is free of charge and can be accessed through different portals. In the process of analyzing the multisensor data there are various options to add value to the data. There is a great benefit from observations with different scales and spectral bands. The combination of different sensors and the monitoring over time delivers valuable insights in the disaster extent and damaged objects, which would not be available from one source alone. The presentation introduces the aspects and benefits of multimodal and multitemporal remote sensing for hazard and disaster monitoring. It provides an overview on existing processing and fusion strategies and illustrates the results using various examples.

(The originally planned talk on 3D city models at this date has been canceled)