Top Tweets for #DigSesh1
2/4 #WSTC8 #DigSesh1 Whereas there are different (semi-) automated counting processes that have been recently developed (i.e. #ARCGis, #MachLearn), they usually involve the use of expensive software. We show that similar results can be achieved using the free software #ImageJ
Ellie Bowler @EllieBowler32 dazzle with her method for detecting canopy-nesting Abbott's boobies at the #DigSesh1 and will receive a true Penguin Watch @penguin_watch explorer kit.
#WSTC7

@animal__alice @zooniverse @seabird_watch Thanks for a great presentation, @animal__alice! Why do you think the biggest difference was with chicks? Are they harder to see / difficult to tell apart from adults? And is there anyway to improve this? #WSTC7 #DigSesh1
@EllieBowler32 Great work @EllieBowler32. It's quite fascinating to know how we can integrate #UAV and #MachineLearning techniques for studying seabirds. #WSTC7 #DigSesh1
Our final presenter in #DigSesh1 is @animal__alice.
Alice is a PhD student at @OxfordEnvRes and will be telling us about the exciting #CitizenScience project that is Seabird Watch! #WSTC7
Next in #DigSesh1, we have #WSTC7 co-chair @bennett_sophie!
Sophie is a PhD student with @UKCEHseabirds & @SEG_UL and is presenting her work ‘Attendance at the colony in the non-breeding season affects breeding timing and success in common guillemots’
4-4 #WSTC7 #DigSesh1 #Cameratrap deployment and analysis is time consuming and has challenges. For longer studies it could reduce uncertainty when estimating occupancy and br-success, but for short surveys it’s impractical.

2-4 #WSTC7 #DigSesh1 We used #cameratrap’s on #MacquarieIsland to investigate occupancy, breeding status and success for Blue and Grey #Petrel. We tagged presence and behaviours in pics ⬆️ aggregates tags into events and season-long activity for each cam https://t.co/jQ8mUo4tDr
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