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UID:1008@agi.org.uk
DTSTART;TZID=Europe/London:20240503T170000
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DTSTAMP:20240415T153948Z
URL:https://www.agi.org.uk/events/edinburgh-earth-observatory-seminars/
SUMMARY:Edinburgh Earth Observatory Seminars
DESCRIPTION:We are delighted to announce our next talk will be Dr Yun Chen\
 , Principal Research Scientist at CSIRO Environment.  Yun's research has 
 been across the broad spectrum of Geoinformatics\, incorporating big data\
 , cutting-edge technology\, and computational models for topics such as su
 stainable development under climate extremes\, hazard management\, and spa
 tial vulnerability/risk assessment.\n\nIn her EEO-AGIS seminar\, Yun will 
 be present her recent work mapping and modelling flood inundation characte
 ristics in the Murray-Darling Basin\, Australia\, using remote sensing and
  in-situ data. This work reveals spatial and temporal patterns of flood in
 undation in the basin\, greatly improving our understanding of how ecosyst
 ems respond to flooding in the region. The seminar will take place at 5pm 
 on Friday 3rd May in our usual location of Room 2.13\, The Institute of G
 eopgraphy\, Drummond Street followed by drinks in The Pleasance Bar.\n\nFi
 nd more information\n\nDr Yun Chen\, Principal Research Scientist\, CSIRO 
 Environment: Modelling flood dynamics in the Murray-Darling river basin us
 ing flow data and satellite imagery\n\nFlood inundation is crucial to the 
 survival and prosperity of flora and fauna communities in floodplain and w
 etland ecosystems. This study tried to map flood inundation characteristic
 s in the Murray-Darling Basin\, Australia\, utilizing hydrological and rem
 otely sensed data. It integrated river flow time series and Moderate Resol
 ution Imaging Spectroradiometer (MODIS) images to map inundation dynamics 
 over the study area on both temporal and spatial dimensions. Flow data wer
 e analyzed to derive flow peaks and Annual Exceedance Probabilities (AEPs)
  using the annual flood series method. The peaks were linked with MODIS im
 ages for inundation detection. Annual maximum inundation maps were generat
 ed\, which were then overlaid to derive an inundation frequency map. AEPs 
 were also combined with the annual maximum inundation maps to derive an in
 undation probability map. The resultant maps revealed spatial and temporal
  patterns of flood inundation in the basin\, which will benefit ecological
  and environmental studies when considering response of floodplain and wet
 land ecosystems to flood inundation.
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CATEGORIES:Lectures, Seminars, Workshops
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