Under the leadership of Dr. Bittu Kaveri Rajaraman (Department of Biology and Psychology), researchers are advancing a non-invasive, long-term biodiversity monitoring system using automatic acoustic sampling methods. This approach aims to track the impact of climate change on ecosystems while also testing conservation interventions. Acoustic sampling allows for continuous, high-resolution data collection, offering insights into biodiversity patterns across daily and seasonal cycles. Such granularity is crucial, as annual or large-scale biodiversity assessments often miss the nuances of ecological variation. Researchers also plan to integrate this method with camera traps and automated image classification, enhancing monitoring accuracy and broadening the scope of observation. By leveraging automation, the project seeks to create a scalable, data-driven system for tracking biodiversity shifts over time, providing critical information for conservation efforts in a rapidly changing climate.
Under the leadership of Dr. Bittu Kaveri Rajaraman (Department of Biology and Psychology), researchers are advancing a non-invasive, long-term biodiversity monitoring system using automatic acoustic sampling methods. This approach aims to track the impact of climate change on ecosystems while also testing conservation interventions.
Acoustic sampling allows for continuous, high-resolution data collection, offering insights into biodiversity patterns across daily and seasonal cycles. Such granularity is crucial, as annual or large-scale biodiversity assessments often miss the nuances of ecological variation. Researchers also plan to integrate this method with camera traps and automated image classification, enhancing monitoring accuracy and broadening the scope of observation.
By leveraging automation, the project seeks to create a scalable, data-driven system for tracking biodiversity shifts over time, providing critical information for conservation efforts in a rapidly changing climate.
