Follow
chris bater
chris bater
Forest Management Specialist (Remote Sensing), Agriculture and Forestry, Government of Alberta
Verified email at gov.ab.ca
Title
Cited by
Cited by
Year
Lidar sampling for large-area forest characterization: A review
MA Wulder, JC White, RF Nelson, E Næsset, HO Ørka, NC Coops, ...
Remote sensing of environment 121, 196-209, 2012
8432012
The role of LiDAR in sustainable forest management
MA Wulder, CW Bater, NC Coops, T Hilker, JC White
The forestry chronicle 84 (6), 807-826, 2008
4622008
Evaluating error associated with lidar-derived DEM interpolation
CW Bater, NC Coops
Computers & Geosciences 35 (2), 289-300, 2009
3992009
Monitoring plant condition and phenology using infrared sensitive consumer grade digital cameras
W Nijland, R De Jong, SM De Jong, MA Wulder, CW Bater, NC Coops
Agricultural and Forest Meteorology 184, 98-106, 2014
1882014
Regional mapping of vegetation structure for biodiversity monitoring using airborne lidar data
X Guo, NC Coops, P Tompalski, SE Nielsen, CW Bater, JJ Stadt
Ecological informatics 38, 50-61, 2017
1512017
Three decades of forest structural dynamics over Canada's forested ecosystems using Landsat time-series and lidar plots
G Matasci, T Hermosilla, MA Wulder, JC White, NC Coops, GW Hobart, ...
Remote Sensing of Environment 216, 697-714, 2018
1492018
Lidar plots—A new large-area data collection option: Context, concepts, and case study
MA Wulder, JC White, CW Bater, NC Coops, C Hopkinson, G Chen
Canadian Journal of Remote Sensing 38 (5), 600-618, 2012
1372012
A forest structure habitat index based on airborne laser scanning data
NC Coops, P Tompaski, W Nijland, GJM Rickbeil, SE Nielsen, CW Bater, ...
Ecological Indicators 67, 346-357, 2016
1132016
Stability of sample-based scanning-LiDAR-derived vegetation metrics for forest monitoring
CW Bater, MA Wulder, NC Coops, RF Nelson, T Hilker, E Nasset
IEEE Transactions on Geoscience and Remote Sensing 49 (6), 2385-2392, 2011
892011
Estimation of standing dead tree class distributions in northwest coastal forests using lidar remote sensing
CW Bater, NC Coops, SE Gergel, V LeMay, D Collins
Canadian Journal of Forest Research 39 (6), 1080-1091, 2009
842009
Linking ground-based to satellite-derived phenological metrics in support of habitat assessment
NC Coops, T Hilker, CW Bater, MA Wulder, SE Nielsen, G McDermid, ...
Remote Sensing Letters 3 (3), 191-200, 2012
782012
Using digital time-lapse cameras to monitor species-specific understorey and overstorey phenology in support of wildlife habitat assessment
CW Bater, NC Coops, MA Wulder, T Hilker, SE Nielsen, G McDermid, ...
Environmental monitoring and assessment 180, 1-13, 2011
722011
The influence of ground-and lidar-derived forest structure metrics on snow accumulation and ablation in disturbed forests
A Varhola, NC Coops, CW Bater, P Teti, S Boon, M Weiler
Canadian Journal of Forest Research 40 (4), 812-821, 2010
702010
A simple technique for co-registration of terrestrial LiDAR observations for forestry applications
T Hilker, NC Coops, DS Culvenor, G Newnham, MA Wulder, CW Bater, ...
Remote sensing letters 3 (3), 239-247, 2012
592012
Assessing differences in tree and stand structure following beetle infestation using lidar data
NC Coops, A Varhola, CW Bater, P Teti, S Boon, N Goodwin, M Weiler
Canadian Journal of Remote Sensing 35 (6), 497-508, 2009
462009
Automatic delineation and height measurement of regenerating conifer crowns under leaf-off conditions using uav imagery
AJ Chadwick, TRH Goodbody, NC Coops, A Hervieux, CW Bater, ...
Remote Sensing 12 (24), 4104, 2020
432020
Forest inventory stand height estimates from very high spatial resolution satellite imagery calibrated with lidar plots
B Mora, MA Wulder, GW Hobart, JC White, CW Bater, FA Gougeon, ...
International Journal of Remote Sensing 34 (12), 4406-4424, 2013
412013
Integrating airborne lidar and satellite imagery to model habitat connectivity dynamics for spatial conservation prioritization
X Guo, NC Coops, SE Gergel, CW Bater, SE Nielsen, JJ Stadt, M Drever
Landscape ecology 33, 491-511, 2018
362018
Vegetation phenology can be captured with digital repeat photography and linked to variability of root nutrition in Hedysarum alpinum
W Nijland, NC Coops, SCP Coogan, CW Bater, MA Wulder, SE Nielsen, ...
Applied Vegetation Science 16 (2), 317-324, 2013
352013
Remote sensing proxies of productivity and moisture predict forest stand type and recovery rate following experimental harvest
W Nijland, NC Coops, SE Macdonald, SE Nielsen, CW Bater, B White, ...
Forest Ecology and Management 357, 239-247, 2015
342015
The system can't perform the operation now. Try again later.
Articles 1–20