Using spatiotemporal information in weather radar data to detect and track communal roosts
Gustavo Perez,
Wenlong Zhao,
Zezhou Cheng
et al.
Abstract:The exodus of flying animals from their roosting locations is often visible as expanding ring‐shaped patterns in weather radar data. The NEXRAD network, for example, archives more than 25 years of data across 143 contiguous US radar stations, providing opportunities to study roosting locations and times and the ecosystems of birds and bats. However, access to this information is limited by the cost of manually annotating millions of radar scans. We develop and deploy an AI‐assisted system to annotate roosts in… Show more
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