OSA Continuum · 2020 · 27 citations · 21 references
Life SciencesEcologyEntomologyBiodiversity MonitoringInsect EcologyRemote SensingInsect MonitoringInsect Species RichnessLidar Remote SensingPollinator MonitoringRemote Sensing For Biodiversity MonitoringSpecies Distribution MonitoringBiodiversity AssessmentCluster AnalysisHierarchical Cluster AnalysisIn-situ MeasurementsLidar-based Biodiversity AssessmentLidar-based EstimationRapid Biodiversity AssessmentsSampling
Acquisition of entomological data with high-frequency lidar is an emerging research field in rapid development. The technique offers very high numbers of observations per time unit, suitable for statistical models. In this work, we use a near-infrared Scheimpflug lidar with a sampling frequency of 3.5 kHz to assess the activity of free flying organisms. In-situ measurements were done during the rainy season in Ivory Coast, and hierarchical cluster analysis was used to quantify the amount of unique modulation signatures. Here we propose a method to estimate the number of observed species within a certain air volume for a given time span. This paves the way for rapid in-situ biodiversity assessment in accordance with recent priorities for protection of pollinator diversity during global changes.
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An extensive comparative study of cluster validity indices
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R. A. O. Hickling, David B. Roy, Jane K. Hill et al. · Global Change Biology · 2005 · 515 citations
Life Sciences, Ecology, Entomology +14
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