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SUMMARY:CDT Team Challenge - AI4ER CDT 2020 cohort
DTSTART:20210216T110000Z
DTEND:20210216T123000Z
UID:TALK155389@talks.cam.ac.uk
CONTACT:Tudor Suciu
DESCRIPTION:A Graph-Based Framework for Ecosystem Fragmentation in the Che
 rnobyl Region\n\nBiodiversity Team: Simon Mathis\, Katherine Green\, Herbi
 e Bradley\, Arduin Findeis\, Yilin Li\, Simon Thomas\n\nHabitats are often
  fragmented by human development\, and alongside the loss of overall habit
 at area\, this fragmentation could have an effect on the biodiversity. The
  trial region we are using in this study is around Chernobyl\, as we expec
 t that reduced human impact resulting from the nuclear disaster may lead t
 o a reduction in fragmentation over time. We are also able to compare tren
 ds inside and outside of the exclusion zone. The quantification of fragmen
 tation is dependent on the resolution of the land data\, the classificatio
 n scheme\, and the metric used. We intend to use a combination of Landsat 
 data\, with a classification model trained landcover data sets provided by
  ESA and the British Trust for Ornithology\, and to trial new metrics calc
 ulated upon the resulting georeferenced graph. We will report on our progr
 ess so far as a team\, and we look forward to answering your questions.\n\
 nAssessing temporal change in exposure of informal settlements through rep
 eat satellite observation\n\nNatural Hazards Team: Ira Shokar\, Joycelyn L
 ongdon\, Luke Cullen\, Matt Allen\, Natalie Yao\, Seb Hickman \n\nExposure
  to natural hazards increases with building in hazardous areas. Particular
 ly vulnerable to such hazards are informal settlements with unregulated co
 nstruction standards\, often located on disused land that may be too expos
 ed for formal building. We are endeavouring to quantify exposure variation
  by combining a change detection model applied to repeat imagery from Sent
 inel-2\, with a settlement classifier\, to identify the appearance of expo
 sed informal settlements. To quantify exposure we will use available socio
 -economic data\, firstly to estimate human exposure\, and secondly to esti
 mate possible capital exposure should the exposed area be insured.
LOCATION:https://zoom.us/j/6708259482?pwd=Qk03U3hxZWNJZUZpT2pVZnFtU2RRUT09
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