Publications
Displaying all publications tagged "Remote Sensing".

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Journal Articles
McClelland, C.J.R.,  Coops, N.C., Berman, E.E., Kearney, S.P., Nielsen, S.E., Burton, A.C. & Stenhouse, G.B. 2020. Detecting changes in understory and canopy vegetation cycles in West Central Alberta using a fusion of Landsat and MODIS. Applied Vegetation Science (early view).
Silva, J.A., Nielsen, S.E., Lamb, C.T., Hague, C. & Boutin, S. 2019. Modelling lichen abundance for woodland caribou in a fire-driven boreal landscape. Forests 10, 962.
Mao, L., Dennett, J., Bater, C.W., Tompalski, P., Coops, N.C., Farr, D., Kohler, M., White B., Stadt, J.J. & Nielsen S.E. 2018. Using airborne laser scanning to predict plant species richness and assess conservation threats in the oil sands region of Alberta’s boreal forest. Forest Ecology and Management 409: 29-37.
Mao, L., Bater, C.W., Stadt, J.J., White, B., Tompalski, P., Coops, N.C. & Nielsen, S.E. 2018. Environmental landscape determinants of maximum forest canopy height of boreal forests. Journal of Plant Ecology rtx071: 1-7.
Guo, X., Coops, N.C., Gergel, S.E., Bater, C.W., Nielsen, S.E., Stadt, J.J., Drever, M. 2018. Integrating airborne lidar and satellite imagery to model habitat connectivity dynamics for spatial conservation prioritization. Landscape Ecology (early view).
Guo, X., Coops, N.C., Tompalski, P., Nielsen, S.E., Bater, C.W. & Stadt, J.J. 2017. Regional mapping of vegetation structure for biodiversity monitoring using airborne lidar data Ecological Informatics 38: 50–61.
Hird, J.N., Montaghi, A., McDermid, G.J., Kariyeva, J., Moorman, B.J., Nielsen, S.E., McIntosh, A. 2017. Use of Unmanned Aerial Vehicles for Monitoring Recovery of Forest Vegetation on Petroleum Well Sites. Remote Sensing 9(5): 413.
Laskin, D.N., Montaghi A, Nielsen, S.E. & McDermid, G.J. 2016. Estimating understory temperatures using MODIS LST in mixed cordilleran forests. Remote Sensing 8: 658.
Coops, N.C., Tompaski, P., Nijland, W., Rickbeil, G.J.M., Nielsen, S.E., Bater, C.W. & Stadt, J.J. 2016. A forest structure habitat index based on airborne laser scanning data. Ecological Indicators 67: 346-357
Barber, Q.E., Bater, C.W., Braid, A.C.R., Coops, N.C., Tompalski, P. & Nielsen, S.E. 2016. Airborne laser scanning for modelling understory shrub abundance and productivity. Forest Ecology and Management 377: 46-54.
Nijland, W., Coops, N.C., Macdonald, S.E., Nielsen, S.E., Bater, C.W., White, B., Ogilvie, J. & Stadt, J. 2015. Remote sensing proxies of productivity and moisture predict forest stand type and recovery rate following experimental harvest. Forest Ecology and Management 357: 239-247.
Nijland W., Coops, N.C., Macdonald, S.E., Nielsen, S.E., Bater, C. & Stadt, J.J. 2015. Comparing patterns in forest stand structure following variable harvests using airborne laser scanning data. Forest Ecology and Management 354: 272-280.
Nijland, W., Coops, N.C., Nielsen, S.E. & Stenhouse, G. 2015. Integrating optical satellite data and airborne laser scanning in habitat classification for wildlife management. International Journal of Applied Earth Observation and Geoinformation 38: 242–250.
White C.F.H., Coops N.C., Nijland W., Hilker T., Nelson T.A., Wulder M.A., Nielsen S.E. & Stenhouse G.B. 2014. Characterizing a decade of disturbance events using Landsat and MODIS satellite imagery in Western Alberta, Canada for grizzly bear management. Canadian Journal of Remote Sensing 40(5): 336-347.
Nijland W., Nielsen S.E., Coops N.C., Wulder M.A. & Stenhouse G.B. 2014. Fine-spatial scale predictions of understory species using climate-and LiDAR-derived terrain and canopy metrics. Journal of Applied Remote Sensing 8(1): 083572-083572.
Nijland W., Coops N.C., Coogan S.C.P., Bater C.W., Wulder M.A., Nielsen S.E., McDermid G. & Stenhouse G.B. 2013. Vegetation phenology can be captured with digital repeat photography and linked to variability of root nutrition in Hedysarum alpinum. Applied Vegetation Science 16(2): 317–324.
Coops N.C., Hilker T., Bater C.W., Wulder M.A., Nielsen S.E., McDermid G. & Stenhouse G. 2012. Linking ground-based to satellite derived phenological metrics in support of habitat assessment. Remote Sensing Letters 3(3): 191-200.
Bater C.W., Coops N.C., Wulder M.A., Hilker T., Nielsen S.E., McDermid G. & Stenhouse G.B. 2011. Using digital time-lapse cameras to monitor species-specific understorey and overstorey phenology in support of wildlife habitat assessment. Environmental Monitoring & Assessment 180: 1-13.
Bater C.W., Coops N.C., Wulder M.A., Nielsen S.E., McDermid G. & Stenhouse G.B. 2011. Design and installation of a camera network across an elevation gradient for habitat assessment. Instrumentation Science & Technology 39: 231-247.
Book Chapters
Research Reports
Thesis
Outreach
Willier, C. & Nielsen, S.E. 2018. Why did the water cross under the road? Alberta Biodiversity Conservation Chairs outreach note #7.