LEcoSpec

Hyperspectral Remote Sensing

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NASA ABoVE

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​In selected species, population-level variation in hyperspectral reflectance will be analyzed in relation to genetic variation.
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[2018 Field Museum of Natural History Polar Studies Grant] 

Fine-scale, Species-level Hyperspectral Mapping of Arctic Plants and Lichens

Development of an Observational Network for Assessing the Effects of Climate Change on Maine’s Forest

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This project establishes baseline data for tree species across four research sites throughout Maine.
​Beginning with collection collection of remote sensing data from ground-based spectral scans and airborne imaging spectroscopy data using a UAV platform; we then process and summarize collected data to establish key scaling and target identification algorithms to differentiate trees species and identify pathogens and signatures of forest stress, and connect finer-scale UAV-based imagery to already collected NASA G-LiHT data.


[2017 NASA Maine Space Grant Consortium, Research Infrastructure Development Grant]



High Resolution Mapping and Health Assessment of Maine’s Forest and Agricultural Resources

We aim to scale airborne imaging spectroscopy calibrated by ground-based spectral / cover and structure measurements and elemental signatures from multiple important targets in Maine. Chemical attributes in plants and soil as well as pathologies (stress) can be detected using technological advances in unmanned aerial system (UAS) platforms and research-quality hyperspectral cameras.
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[2018 Maine Economic Improvement Funds (MEIF) Small Campus Initiative (SCI) Research Grant]
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