Sean Kearney
Rangeland Resources & Systems Research
Non-Federal Affiliate
Phone: (970) 492-7139
Fax:
1701 CENTRE AVENUE
FORT COLLINS,
CO
80526
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Publications
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Toward broad-scale mapping and characterization of prairie dog colonies from airborne imagery using deep learning
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Kearney, S.P., Porensky, L.M., Augustine, D.J., Pellatz, D.W. 2023. Toward broad-scale mapping and characterization of prairie dog colonies from airborne imagery using deep learning. Ecological Indicators. 154. Article 110684. https://doi.org/10.1016/j.ecolind.2023.110684.
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Adaptive, multi-paddock, rotational grazing management alters foraging behavior and spatial grazing distribution of free-ranging cattle
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Augustine, D.J., Kearney, S.P., Raynor, E.J., Porensky, L.M., Derner, J.D. 2023. Adaptive, multi-paddock, rotational grazing management alters foraging behavior and spatial grazing distribution of free-ranging cattle. Agriculture, Ecosystems and Environment. 352. Article 108521. https://doi.org/10.1016/j.agee.2023.108521.
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Indicators of water use efficiency across diverse agroecosystems and spatiotemporal scales
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Hoover, D.L., Abendroth, L.J., Browning, D.M., Saha, A., Snyder, K.A., Wagle, P., Witthaus, L.M., Baffaut, C., Biederman, J.A., Bosch, D.D., Bracho, R., Busch, D., Clark, P., Ellsworth, P.Z., Fay, P.A., Flerchinger, G.N., Kearney, S.P., Levers, L.R., Saliendra, N.Z., Schmer, M.R., Schomberg, H.H., Scott, R.L. 2022. Indicators of water use efficiency across diverse agroecosystems and spatiotemporal scales. Science of the Total Environment. 864. Article e160992. https://doi.org/10.1016/j.scitotenv.2022.160992.
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Can measurements of foraging behaviour predict variation in weight gains of free-ranging cattle?
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Augustine, D.J., Raynor, E.J., Kearney, S.P., Derner, J.D. 2022. Can measurements of foraging behaviour predict variation in weight gains of free-ranging cattle? Animal Production Science. Special Issue: AAAS|Stobbs Lecture. https://doi.org/10.1071/AN21560.
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Monitoring standing herbaceous biomass and thresholds in semiarid rangelands from harmonized Landsat 8 and Sentinel-2 imagery to support within-season adaptive management
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Kearney, S.P., Porensky, L.M., Augustine, D.J., Gaffney, R.M., Derner, J.D. 2022. Monitoring standing herbaceous biomass and thresholds in semiarid rangelands from harmonized Landsat 8 and Sentinel-2 imagery to support within-season adaptive management. Remote Sensing of Environment. 271. Article e112907. https://doi.org/10.1016/j.rse.2022.112907.
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Using hyperspectral imagery to characterize rangeland vegetation composition at process-relevant scales
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Gaffney, R.M., Augustine, D.J., Kearney, S.P., Porensky, L.M. 2021. Using hyperspectral imagery to characterize rangeland vegetation composition at process-relevant scales. Remote Sensing. 13. Article 4603. https//doi.org/10.3390/rs13224603.
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Predicting spatial-temporal patterns of diet quality and large herbivore performance using satellite time series
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Kearney, S.P., Porensky, L.M., Augustine, D.J., Derner, J.D., Gao, F.N. 2022. Predicting spatial-temporal patterns of diet quality and large herbivore performance using satellite time series. Ecological Applications. 32. Article e2503. https://doi.org/10.1002/eap.2503.
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Big data reveals drivers of vegetation phenology and cattle productivity in semi-arid rangelands
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ARS News Articles
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