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LOCATION:Track 1
DTSTART;TZID=America/New_York:20201117T134500
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UID:submissions.supercomputing.org_SC20_sess300_inv108@linklings.com
SUMMARY:Satellite Tree Enumeration Outside of Forests at the Fifty Centime
 ter Scale
DESCRIPTION:Invited Talk\n\nSatellite Tree Enumeration Outside of Forests 
 at the Fifty Centimeter Scale\n\nTucker\n\nA large proportion of trees gro
 ws isolated outside of forests and is not well documented. These non-fores
 t trees play a crucial role in biodiversity, carbon storage, food resource
 s and shelter for humans and animals. We have enumerated the crown size of
  individual trees greater than three square meters in a land area spanning
  ten million square kilometers from the Atlantic Ocean to the Red Sea in t
 he West African Sahara, Sahel, in sub-humid zones using sub-meter satellit
 e imagery, high-performance computing and deep learning. We enumerated ove
 r 14 billion isolated trees, or 140 trees/ha, with a median crown size of 
 12 square meters along a rainfall gradient from zero to 1000 mm. The canop
 y cover increases from near zero in hyper-arid zones to 9.9 trees/ha in th
 e arid zone, to 30.1 trees/ha in the semi-arid Sahelian zone, to 470 trees
 /ha in the sub-humid zone. Although the overall tree cover is low, the une
 xpected higher density of isolated trees challenges prevailing narratives 
 about dryland desertification, where even the desert showed a surprisingly
  higher tree density than previously thought. Our machine learning approac
 h using high-performance computing enables enumeration of isolated trees g
 lobally to identify localized areas of degradation and to quantify the rol
 e of isolated trees in the global carbon cycle.\n\nTag: Applications, Comp
 utational Science, Extreme Scale Computing, Machine Learning, Deep Learnin
 g and Artificial Intelligence\n\nRegistration Category: Tech Program Reg P
 ass, Exhibits Reg Pass
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