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Sean Kearney
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Sean P. Kearney

 Research Ecologist

Crops Research Laboratory
1701 Center Ave.
Fort Collins, CO 80526
PHONE: 970-492-7136
FAX:     970-492-7160



B.A.  International Business

(Minor: Economics)

2008 Western Washington University

M.Sc.    International Agricultural Development

(Focus: Soil Science)


University of California, Davis

Ph.D.    Soil Science 2017 University of British Columbia, Vancouver


Research interests:

Dr. Kearney’s research is focused on combining field and remote sensing data to solve agricultural land management challenges. His work ranges from improving methods to monitor indicators of land health (e.g., erosion, carbon storage) to using spatial analysis tools to better understand the interactions between human activity and environmental change across landscape, regional and global scales. Dr. Kearney’s work links ground data with a variety of remotely sensed datasets, including satellite imagery, GPS collar data on livestock and wildlife, airborne laser scanning (LiDAR) and others.


Current research questions:

What drives changes in rangeland conditions across space and time, and how are these linked to multiple rangeland management objectives, including cattle productivity, wildlife habitat and biodiversity?



Augustine, D.J., Raynor, E.J., Kearney, S.P. and Derner, J.D. 2022. Can measurements of foraging behaviour predict variation in weight gains of free-ranging cattle? Animal Production Science.

Kearney, S.P.Porensky, L.M., Augustine, D.J., Derner, J.D., Gao, F. 2022. Predicting Spatial-Temporal Patterns of Diet Quality and Large Herbivore Performance Using Satellite Time Series. Ecological Applications 32(2): e2503.

Kearney, S.P., Porensky, L.M., Augustine, D.J., Gaffney, R., 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: 1-15.

Gaffney, R., D.J. Augustine, S.P. Kearney, and L.M. Porensky. 2021. Using hyperspectral imagery to characterize rangeland vegetation composition at process-relevant scales. Remote Sensing 13:4603. doi: 10.3390/rs13224603

Kearney, S.P., N.C . Coops, S .Sethi, G.B. Stenhouse. 2020. Maintaining accurate, current, rural road network data: An extraction and updating routine using RapidEye, participatory GIS and deep learning. International Journal of Applied Earth Observation and Geoinformation 87.

McClelland, Cameron JR., N. C. Coops, E.E. Berman, S.P. Kearney, S. E. Nielsen, A . C. Burton, G. B .Stenhouse. 2019. Detecting changes in understorey and canopy vegetation cycles in West Central Alberta using a fusion of Landsat and MODIS. Applied Vegetation Science.

Kearney, S. P., N. C. Coops, G. B. Stenhouse, S. E. Nielsen, T. Hermosilla, J. C. White, M. A. Wulder. 2019. Grizzly bear selection of recently harvested forests is dependent on forest recovery rate and landscape composition. Forest Ecology and Management. 449.

Berman, E. E., N.C .Coops, S.P .Kearney, G.B. Stenhouse. 2019. Grizzly bear response to fine spatial and temporal scale spring snow cover in Western Alberta. PloS One 14 (4), e0215243.

Kearney, S. P., Coops, N. C., Stenhouse, G. B., & Nelson, T. A. 2019. EcoAnthromes of Alberta : An example of disturbance-informed ecological regionalization using remote sensing. Journal of Environmental Management, 234, 297–310.

Coogan, S. C. P., Coops, N. C., Janz, D. M., Cattet, M. R. L., Kearney, S. P., Stenhouse, G. B., & Nielsen, S. E. 2019. Towards grizzly bear population recovery in a modern landscape. Journal of Applied Ecology, 56, 93–99.

García, E., P. Siles, L. Eash, R. Van Der Hoek, S. P. Kearney, S. M. Smukler, S. J. Fonte. 2019. Participatory evaluation of improved grasses and forage legumes for smallholder livestock production in Central America. Experimental Agriculture. 55. 5. 776-792.

Coops, N. C., Kearney, S. P., Bolton, D. K., & Radeloff, V. C. 2018. Remotely-sensed productivity clusters capture global biodiversity patterns. Scientific Reports, 8, 1–12.

Kearney, S.P., Fonte, S.J., García, E., Smukler, S.M., 2017. Improving the utility of erosion pins: Absolute value of pin height change as an indicator of relative erosion. Catena 163, 427–432. doi:10.1016/j.catena.2017.12.008

Kearney, S.P., Fonte, S.J., García, E.D., Siles, P., Chan, K.M.A., Smukler, S.M., 2017. Evaluating ecosystem service trade-offs and synergies from slash-and-mulch agroforestry systems in El Salvador. Ecological Indicators. doi:10.1016/j.ecolind.2017.08.032

Kearney, S.P., Coops, N.C., Chan, K.M.A., Fonte, S.J., Siles, P., Smukler, S.M., 2017. Predicting carbon benefits from climate-smart agriculture: High-resolution carbon mapping and uncertainty assessment in El Salvador.  Journal Environmental Management. 202, 287–298. doi:10.1016/j.jenvman.2017.07.039

Kearney, S.P., Smukler, S.M., 2016. Determining Greenhouse Gas Emissions and Removals Associated with Land-Use and Land-Cover Change, in: Rosenstock, T.S., Rufino, M.C., Butterbach-Bahl, K., Wollenberg, E., Richards, M. (Eds.), Methods for Measuring Greenhouse Gas Balances and Evaluating Migration Options in Smallholder Agriculture. Springer. doi:10.1007/978-3-319-29794-1_3

Kearney, S.P., Fonte, S.J., Salomon, A., Six, J., Scow, K.M., 2012. Forty percent revenue increase by combining organic and mineral nutrient amendments in Ugandan smallholder market vegetable production. Agronomy for Sustainable Development 32, 831–839. doi:10.1007/s13593-012-0097-6