Monitoring aerial insect biodiversity: a radar perspective
In the current biodiversity crisis, populations of many species have alarmingly declined, and
insects are no exception to this general trend. Biodiversity monitoring has become an …
insects are no exception to this general trend. Biodiversity monitoring has become an …
Quantifying long‐term phenological patterns of aerial insectivores roosting in the Great Lakes region using weather surveillance radar
Organisms have been shifting their timing of life history events (phenology) in response to
changes in the emergence of resources induced by climate change. Yet understanding …
changes in the emergence of resources induced by climate change. Yet understanding …
DISCount: counting in large image collections with detector-based importance sampling
Many applications use computer vision to detect and count objects in massive image
collections. However, automated methods may fail to deliver accurate counts, especially …
collections. However, automated methods may fail to deliver accurate counts, especially …
Using spatiotemporal information in weather radar data to detect and track communal roosts
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 …
shaped patterns in weather radar data. The NEXRAD network, for example, archives more …
Data to science with AI and human-in-the-loop
G Perez Sarabia - 2024 - scholarworks.umass.edu
AI has the potential to accelerate scientific discovery by enabling scientists to analyze vast
datasets more efficiently than traditional methods. For example, this thesis considers the …
datasets more efficiently than traditional methods. For example, this thesis considers the …
A Semi-Automated System to Annotate Communal Roosts in Large-Scale Weather Radar Data
We have developed a semi-automated system to annotate communal roosts of birds and
bats in weather radar data. This system comprises detection, tracking, confounder filtering …
bats in weather radar data. This system comprises detection, tracking, confounder filtering …
[PDF][PDF] Overview: From data to science with AI and human-in-the-loop
G Perez - gperezs.com
My research in computer vision and machine learning focuses on finding effective ways to
combine human and computational effort, and statistical estimation to reduce the cost of …
combine human and computational effort, and statistical estimation to reduce the cost of …
[PDF][PDF] Comparison of the ability of eBird and Weather Radars to detect swallow and martin roosts
T Ramos, MTD Belotti - warnercnr.colostate.edu
Swallows and martins (family: Hirundinidae) are highly specialized aerial insectivores
which, like others of that guild, have been facing regional and continental population …
which, like others of that guild, have been facing regional and continental population …