Investigating the use of NEON hyperspectral imagery for KU Field Station tree canopy classification
Автор: Kansas Bio Survey & Center for Ecological Research
Загружено: 2025-05-02
Просмотров: 224
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Technicians with the National Ecological Observatory Network (NEON) began collecting high spatial and spectral resolution aerial imagery at the University of Kansas Field Station in 2016. In this May 2, 2025, talk, David Weiss, a KU student and a researcher at the Kansas Applied Remote Sensing program, discusses the potential and limitations of this imagery, with a focus on deciduous tree classification, as well as the data's implications for larger scale analyses, including Eastern Red Cedar mapping using Sentinel-2 satellite imagery.
Spectral Ecology seeks to extend the utility of spectrometry for materials characterization to ecological composition and dynamics. Remote sensing products offer the opportunity to expand this approach to the ecosystem scale, allowing for classification and monitoring of vegetation communities.
The full title of the talk is "Investigating the utility of NEON (National Ecological Observatory Network) hyperspectral imagery for tree canopy classification at the KU Field Station." A short Q&A follows the talk.
David is introduced by Jude Kastens, associate research professor at the Kansas Biological Survey & Center for Ecological Research.
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