Distinguishing actual and artefact depressions in digital elevation data. - John B. Lindsay; Irena F. Creed (Comput. Geosci., 2006)

Sensitivity of channel mapping techniques to uncertainty in digital elevation data. - John B. Lindsay (Int. J. Geogr. Inf. Sci., 2006)

Measuring the significance of a divide to local drainage patterns. - John B. Lindsay; Jan Seibert (Int. J. Geogr. Inf. Sci., 2013)

Modelling surface drainage patterns in altered landscapes using LiDAR. - John B. Lindsay; K. Dhun (Int. J. Geogr. Inf. Sci., 2015)

DEM Fusion using a modified k-means clustering algorithm. - Colleen E. Fuss; Aaron A. Berg; John B. Lindsay (Int. J. Digit. Earth, 2016)

Whitebox GAT: A case study in geomorphometric analysis. - John B. Lindsay (Comput. Geosci., 2016)

Drainage Network Analysis and Structuring of Topologically Noisy Vector Stream Data. - John B. Lindsay; Wanhong Yang; Duncan D. Hornby (ISPRS Int. J. Geo Inf., 2019)

LiDAR DEM Smoothing and the Preservation of Drainage Features. - John B. Lindsay; Anthony Francioni; Jaclyn M. H. Cockburn (Remote. Sens., 2019)

An Analysis of Ground-Point Classifiers for Terrestrial LiDAR. - Kevin C. Roberts; John B. Lindsay; Aaron A. Berg (Remote. Sens., 2019)

Sensitivity of C-Band SAR Polarimetric Variables to the Directionality of Surface Roughness Parameters. - Zohreh Alijani; John B. Lindsay; Mélanie Chabot; Tracy L. Rowlandson; Aaron Berg (Remote. Sens., 2021)

Within-Field Yield Prediction in Cereal Crops Using LiDAR-Derived Topographic Attributes with Geographically Weighted Regression Models. - Riley Eyre; John B. Lindsay; Ahmed Laamrani; Aaron Berg (Remote. Sens., 2021)

Automated Mapping of Transportation Embankments in Fine-Resolution LiDAR DEMs. - Nigel Van Nieuwenhuizen; John B. Lindsay; Ben DeVries (Remote. Sens., 2021)

A review of parallel computing applications in calibrating watershed hydrologic models. - Marjan Asgari; Wanhong Yang; John B. Lindsay; Bryan A. Tolson; Maryam Mehri Dehnavi (Environ. Model. Softw., 2022)

Local scale optimization of geomorphometric land surface parameters using scale-standardized Gaussian scale-space. - Daniel R. Newman; Jaclyn M. H. Cockburn; Lucian Dragut; John B. Lindsay (Comput. Geosci., 2022)

A comparison of three surface roughness characterization techniques: photogrammetry, pin profiler, and smartphone-based LiDAR. - Zohreh Alijani; Julien Meloche; Alexander McLaren; John B. Lindsay; Alexandre Roy; Aaron Berg (Int. J. Digit. Earth, 2022)

Development of a knowledge-sharing parallel computing approach for calibrating distributed watershed hydrologic models. - Marjan Asgari; Wanhong Yang; John B. Lindsay; Hui Shao; Yongbo Liu; Rodrigo de Queiroga Miranda; Maryam Mehri Dehnavi (Environ. Model. Softw., 2023)

Assessing spatially heterogeneous scale representation with applied digital soil mapping. - Daniel R. Newman; Daniel D. Saurette; Jaclyn M. H. Cockburn; Lucian Dragut; John B. Lindsay (Environ. Model. Softw., 2023)

Corrigendum to "Development of a knowledge-sharing parallel computing approach for calibrating distributed watershed hydrologic models" [Environ. Model. Software 164 (2023) 105708]. - Marjan Asgari; Wanhong Yang; John B. Lindsay; Hui Shao; Yongbo Liu; Rodrigo de Queiroga Miranda; Maryam Mehri Dehnavi (Environ. Model. Softw., 2024)

Ranking of 10 Global One-Arc-Second DEMs Reveals Limitations in Terrain Morphology Representation. - Peter L. Guth; Sebastiano Trevisani; Carlos Henrique Grohmann; John B. Lindsay; Dean Gesch; Laurence Hawker; Conrad Bielski (Remote. Sens., 2024)