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Interannual Variability of Summer Net Ecosystem CO<sub>2</sub> Exchange in High Arctic Tundra.
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- Journal of Geophysical Research. Biogeosciences, 2021, v. 126, n. 8, p. 1, doi. 10.1029/2020JG006094
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- Article
Seasonal Surface Subsidence and Frost Heave Detected by C-Band DInSAR in a High Arctic Environment, Cape Bounty, Melville Island, Nunavut, Canada.
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- Remote Sensing, 2021, v. 13, n. 13, p. 2505, doi. 10.3390/rs13132505
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- Article
Forest Inventory and Diversity Attribute Modelling Using Structural and Intensity Metrics from Multi-Spectral Airborne Laser Scanning Data.
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- Remote Sensing, 2020, v. 12, n. 13, p. 2109, doi. 10.3390/rs12132109
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- Article
Predicting Carbon Accumulation in Temperate Forests of Ontario, Canada Using a LiDAR-Initialized Growth-and-Yield Model.
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- Remote Sensing, 2020, v. 12, n. 1, p. 201, doi. 10.3390/rs12010201
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- Article
Forest Site and Type Variability in ALS-Based Forest Resource Inventory Attribute Predictions over Three Ontario Forest Sites.
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- Forests (19994907), 2019, v. 10, n. 3, p. 226, doi. 10.3390/f10030226
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- Article
Spatiotemporal Variability of Arctic Soil Moisture Detected from High-Resolution RADARSAT-2 SAR Data.
- Published in:
- Advances in Meteorology, 2018, p. 1, doi. 10.1155/2018/5712046
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- Article
Terrain Controls and Landscape-Scale Susceptibility Modelling of Active-Layer Detachments, Sabine Peninsula, Melville Island, Nunavut.
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- Permafrost & Periglacial Processes, 2017, v. 28, n. 1, p. 79, doi. 10.1002/ppp.1900
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- Article
Prediction of Macronutrients at the Canopy Level Using Spaceborne Imaging Spectroscopy and LiDAR Data in a Mixedwood Boreal Forest.
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- Remote Sensing, 2015, v. 7, n. 7, p. 9045, doi. 10.3390/rs70709045
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- Article
Mapping continuous forest type variation by means of correlating remotely sensed metrics to canopy N:P ratio in a boreal mixedwood forest.
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- Applied Vegetation Science, 2015, v. 18, n. 1, p. 143, doi. 10.1111/avsc.12122
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- Article
Artificial Neural Network Modeling of High Arctic Phytomass Using Synthetic Aperture Radar and Multispectral Data.
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- Remote Sensing, 2014, v. 6, n. 3, p. 2134, doi. 10.3390/rs6032134
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- Article
A Biogeochemical Examination of Ontario's Boreal Forest Ecosite Classification System.
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- Forests (19994907), 2014, v. 5, n. 2, p. 325, doi. 10.3390/f5020325
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- Article
Leaf Area Index (LAI) Estimation in Boreal Mixedwood Forest of Ontario, Canada Using Light Detection and Ranging (LiDAR) and WorldView-2 Imagery.
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- Remote Sensing, 2013, v. 5, n. 10, p. 5040, doi. 10.3390/rs5105040
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- Article
Application of Lidar Terrain Surfaces for Soil Moisture Modeling.
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- Photogrammetric Engineering & Remote Sensing, 2012, v. 78, n. 12, p. 1241, doi. 10.14358/PERS.78.11.1241
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- Article
Arctic Ecological Classifications Derived from Vegetation Community and Satellite Spectral Data.
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- Remote Sensing, 2012, v. 4, n. 12, p. 3948, doi. 10.3390/rs4123948
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- Article
Can Landsat data detect variations in snow cover within habitats of arctic ungulates?
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- Wildlife Biology, 2012, v. 18, n. 1, p. 75, doi. 10.2981/11-055
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- Article
Characterizing Forest Succession in Central Ontario using Lidar-derived Indices.
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- Photogrammetric Engineering & Remote Sensing, 2011, v. 77, n. 3, p. 261, doi. 10.14358/PERS.77.3.261
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- Article
Examining the Influence of Changing Laser Pulse Repetition Frequencies on Conifer Forest Canopy Returns.
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- Photogrammetric Engineering & Remote Sensing, 2006, v. 72, n. 12, p. 1359, doi. 10.14358/PERS.72.12.1359
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- Article
Assessing forest metrics with a ground-based scanning lidar.
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- Canadian Journal of Forest Research, 2004, v. 34, n. 3, p. 573, doi. 10.1139/X03-225
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- Article
Mapping Snowpack Depth beneath Forest Canopies Using Airborne Lidar.
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- Photogrammetric Engineering & Remote Sensing, 2004, v. 70, n. 3, p. 323, doi. 10.14358/PERS.70.3.323
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- Article
Biophysical remote sensing of arctic environments.
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- Progress in Physical Geography, 2003, v. 27, n. 1, p. 44, doi. 10.1191/0309133303pp358ra
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- Article
LiDAR remote sensing of forest structure.
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- Progress in Physical Geography, 2003, v. 27, n. 1, p. 88, doi. 10.1191/0309133303pp360ra
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- Article
Integrating spectral, spatial, and terrain variables for forest ecosystem classification
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- Photogrammetric Engineering & Remote Sensing, 2000, v. 66, n. 3, p. 305
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- Article
Application of satellite and GIS technologies for land-cover and land-use mapping at the rural-urban fringe: a case study
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- Photogrammetric Engineering & Remote Sensing, 1992, v. 58, n. 4, p. 439
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- Article