公开(公告)号：US20180336460A1

公开(公告)日：2018-11-22

申请号：US15601704

申请日：2017-05-22

Applicant: SAP SE

Inventor： Vadim Tschemezki ,  Oliver Blum ,  Hinnerk Gildhoff ,  Michèle Wyss ,  Bjoern Deiseroth ,  Wenzel Svojanovsky

IPC: G06N3/08 ,  G06N3/04

Abstract: The present disclosure involves systems, software, and computer implemented methods for predicting wildfires on the basis of biophysical indicators and spatiotemporal properties. A method includes receiving a request for a wildfire prediction for at least one geographical area. At least one biophysical indicator is identified. Each biophysical indicator provides biophysical data for the at least one geographical area. The at least one biophysical indicator is provided to a convolutional neural network (CNN). The CNN is trained using ground truth data that includes historical information about wildfires for at least one ground truth geographical area. The CNN is used to generate at least one prediction for wildfire risk for the at least one geographical area. The at least one prediction is provided responsive to the request.