Segui
R. A. (Bob) MacMillan
R. A. (Bob) MacMillan
LandMapper Environmental Solutions Inc. (fully retired)
Email verificata su google.com
Titolo
Citata da
Citata da
Anno
SoilGrids250m: Global gridded soil information based on machine learning
T Hengl, J Mendes de Jesus, GBM Heuvelink, M Ruiperez Gonzalez, ...
PLoS one 12 (2), e0169748, 2017
35162017
SoilGrids1km—global soil information based on automated mapping
T Hengl, JM De Jesus, RA MacMillan, NH Batjes, GBM Heuvelink, ...
PloS one 9 (8), e105992, 2014
12292014
Mapping soil properties of Africa at 250 m resolution: Random forests significantly improve current predictions
T Hengl, GBM Heuvelink, B Kempen, JGB Leenaars, MG Walsh, ...
PloS one 10 (6), e0125814, 2015
9422015
Fuzzy classification methods for determining land suitability from soil profile observations and topography
PA Burrough, RA MacMillan, W Van Deursen
Journal of soil Science 43 (2), 193-210, 1992
5321992
A generic procedure for automatically segmenting landforms into landform elements using DEMs, heuristic rules and fuzzy logic
RA MacMillan, WW Pettapiece, SC Nolan, TW Goddard
Fuzzy sets and Systems 113 (1), 81-109, 2000
4602000
High-resolution landform classification using fuzzy k-means
PA Burrough, PFM van Gaans, RA MacMillan
Fuzzy sets and systems 113 (1), 37-52, 2000
4472000
Landforms and landform elements in geomorphometry
RA MacMillan, PA Shary
Developments in soil science 33, 227-254, 2009
3432009
African soil properties and nutrients mapped at 30 m spatial resolution using two-scale ensemble machine learning
T Hengl, MAE Miller, J Križan, KD Shepherd, A Sila, M Kilibarda, ...
Scientific reports 11 (1), 6130, 2021
1992021
Defining a hierarchy of spatial entities for environmental analysis and modeling using digital elevation models (DEMs)
RA MacMillan, RK Jones, DH McNabb
Computers, Environment and Urban Systems 28 (3), 175-200, 2004
1662004
Automated analysis and classification of landforms using high-resolution digital elevation data: applications and issues
RA MacMillan, TC Martin, TJ Earle, DH McNabb
Canadian Journal of Remote Sensing 29 (5), 592-606, 2003
1552003
Predictive soil mapping with R
T Hengl, RA MacMillan
OpenGeoHub Foundation: Wageningen, The Netherlands, 370, 2019
1542019
Spatial modelling with Euclidean distance fields and machine learning
T Behrens, K Schmidt, RA Viscarra Rossel, P Gries, T Scholten, ...
European journal of soil science 69 (5), 757-770, 2018
1462018
Multi-scale digital soil mapping with deep learning
T Behrens, K Schmidt, RA MacMillan, RA Viscarra Rossel
Scientific reports 8 (1), 15244, 2018
1232018
Automated predictive ecological mapping in a forest region of BC, Canada, 2001–2005
RA MacMillan, DE Moon, RA Coupé
Geoderma 140 (4), 353-373, 2007
1042007
The GlobalSoilMap project specifications
D Arrouays, AB McBratney, B Minasny, JW Hempel, GBM Heuvelink, ...
GlobalSoilMap: Basis of the global spatial soil information system, 2014
972014
Lidar DEM error analyses and topographic depression identification in a hummocky landscape in the prairie region of Canada
S Li, RA MacMillan, DA Lobb, BG McConkey, A Moulin, WR Fraser
Geomorphology 129 (3-4), 263-275, 2011
972011
GlobalSoilMap.net – A New Digital Soil Map of the World
AE Hartemink, J Hempel, P Lagacherie, A McBratney, N McKenzie, ...
Digital soil mapping: Bridging research, environmental application, and …, 2010
662010
Geomorphometry—a key to landscape mapping and modelling
T Hengl, RA MacMillan
Developments in Soil Science 33, 433-460, 2009
622009
Multiscale contextual spatial modelling with the Gaussian scale space
T Behrens, K Schmidt, RA MacMillan, RAV Rossel
Geoderma 310, 128-137, 2018
612018
LandMapR© Software Toolkit-C++ Version: users manual
RA MacMillan
Alberta: LandMapper Environmental Solutions, 2003
352003
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20