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Title: Explaining Patterns of Biodiversity Across Neon Sites Using Landsat-Based Disturbance Metrics
Disturbance regimes can strongly influence geographic patterns of biodiversity. The types of disturbances and their frequencies can have varying impacts on different dimensions of biodiversity and taxonomic groups, and their influence can also vary with spatial scale. Yet disturbance layers are lacking at sufficiently high spatial resolution and extent to uncover these relationships with biodiversity. We detected disturbances for the conterminous United States from Landsat time series using the established LandTrendr temporal segmentation with a novel secondary classification that incorporates spatial context. We then included these disturbance layers, aggregated to metrics at different temporal and spatial scales, into model of species richness at National Ecological Observatory Network sites.
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Publication Date:
Journal Name:
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
Page Range or eLocation-ID:
6252 to 6255
Sponsoring Org:
National Science Foundation
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