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Displaying all publications tagged "Remote Sensing".
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Journal Articles
Barber, Q.E., Bater, C.W., Dabros, A., Pinzon, J., Nielsen, S.E. & Parisien, M-A. 2021.
Persistent impact of conventional seismic lines on boreal vegetation structure following wildfire.
Canadian Journal of Forest Research
51
:1–14.
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DOI:
10.1139/cjfr-2020-0455
François-Nicolas Robinne, F.N., Stadt, J., Bater, C.W., Nock, C.A., Macdonald, S.E. & Nielsen, S.E. 2020.
Application of the conservation planning tool Zonation to inform retention planning in the boreal forest of western Canada.
Frontiers in Ecology & Evolution. 8:584291
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DOI:
10.3389/fevo.2020.584291
Nielsen, S.E., Dennett, J.M. & Bater, C.W. 2020.
Predicting occurrence, abundance, and fruiting of a cultural keystone species to inform landscape values and priority sites for habitat enhancements.
Forests
11
(7), 783.
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DOI:
10.3390/f11070783
Nielsen, S.E., Dennett, J.M. & Bater, C.W. 2020.
Landscape patterns of rare vascular plants in the Lower Athabasca region of Alberta, Canada.
Forests
11
(6): 699.
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DOI:
10.3390/f11060699
Hillman, A.C. & Nielsen, S.E. 2020.
Quantification of Lichen Cover and Biomass Using Field Data, Airborne Laser Scanning and High Spatial Resolution Optical Data—A Case Study from a Canadian Boreal Pine Forest.
Forests
11
(6): 682.
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DOI:
10.3390/f11060682
McClelland, C.J.R., Coops, N.C., Kearney, S.P., Burton, A.C., Nielsen, S.E. & Stenhouse, G.B. 2020.
Variations in grizzly bear habitat selection in relation to the daily and seasonal availability of annual plant-food resources.
Ecological Informatics
58
: 101116.
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DOI:
10.1016/j.ecoinf.2020.101116
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
23
(2), 223-238.
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DOI:
10.1111/avsc.12466
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.
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DOI:
10.3390/f10110962
Stevenson, C.J., Filicetti, A.T. & Nielsen, S.E. 2019.
High precision altimeter demonstrates simplification and depression of microtopography on seismic lines in treed peatlands.
Forests
10
(4):295.
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DOI:
10.3390/f10040295
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.
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DOI:
10.1016/j.foreco.2017.11.017
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.
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DOI:
10.1093/jpe/rtx071
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
33
:491-511.
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DOI:
10.1007/s10980-018-0609-0
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.
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DOI:
10.1016/j.ecoinf.2017.01.005
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.
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DOI:
10.3390/rs9050413
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.
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DOI:
10.3390/rs8080658
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
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DOI:
10.1016/j.ecolind.2016.02.057
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.
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DOI:
10.1016/j.foreco.2016.06.037
Zhang, J., Nielsen, S.E., Mao, L., Chen, S. & Jens-Christian S. 2016.
Regional and historical factors supplement current climate in shaping global forest canopy height.
Journal of Ecology
104
: 469–478.
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DOI:
10.1111/1365-2745.12510
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.
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DOI:
10.1016/j.foreco.2015.08.027
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.
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DOI:
10.1016/j.foreco.2015.06.005
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.
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DOI:
10.1016/j.jag.2014.12.004
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.
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DOI:
10.1080/07038992.2014.987082
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.
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DOI:
10.1117/1.JRS.8.083572
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.
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DOI:
10.1111/avsc.12000
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.
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DOI:
10.1080/01431161.2010.550330
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.
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DOI:
10.1007/s10661-010-1768-x
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.
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DOI:
10.1080/10739149.2011.564700
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.
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