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NMSU PES Colby Brungard
NMSU PES Colby Brungard
Verified email at nmsu.edu
Title
Cited by
Cited by
Year
Machine learning for predicting soil classes in three semi-arid landscapes
CW Brungard, JL Boettinger, MC Duniway, SA Wills, TC Edwards Jr
Geoderma 239, 68-83, 2015
3882015
POLARIS: A 30-meter probabilistic soil series map of the contiguous United States
NW Chaney, EF Wood, AB McBratney, JW Hempel, TW Nauman, ...
Geoderma 274, 54-67, 2016
2342016
Soil property and class maps of the conterminous United States at 100‐meter spatial resolution
A Ramcharan, T Hengl, T Nauman, C Brungard, S Waltman, S Wills, ...
Soil Science Society of America Journal 82 (1), 186-201, 2018
2062018
Updating soil survey maps using random forest and conditioned Latin hypercube sampling in the loess derived soils of northern Iran
MRP Rad, N Toomanian, F Khormali, CW Brungard, CB Komaki, ...
Geoderma 232, 97-106, 2014
1262014
POLARIS soil properties: 30‐m probabilistic maps of soil properties over the contiguous United States
NW Chaney, B Minasny, JD Herman, TW Nauman, CW Brungard, ...
Water Resources Research 55 (4), 2916-2938, 2019
1092019
Updating soil survey maps using random forest and conditioned Latin hypercube sampling in the loess derived soils of northern Iran
M Reza Pahlavan Rad, N Toomanian, F Khormali, CW Brungard, ...
Geoderma 232 (97), 232, 2014
872014
Conditioned latin hypercube sampling: Optimal sample size for digital soil mapping of arid rangelands in Utah, USA
CW Brungard, JL Boettinger
Digital Soil Mapping: Bridging Research, Environmental Application, and …, 2010
872010
Legacy soil maps as a covariate in digital soil mapping: a case study from Northern Iran
MR Pahlavan-Rad, F Khormali, N Toomanian, CW Brungard, F Kiani, ...
Geoderma 279, 141-148, 2016
672016
Prediction of soil water infiltration using multiple linear regression and random forest in a dry flood plain, eastern Iran
MR Pahlavan-Rad, K Dahmardeh, M Hadizadeh, G Keykha, ...
Catena 194, 104715, 2020
612020
Disaggregating and updating a legacy soil map using DSMART, fuzzy c-means and k-means clustering algorithms in Central Iran
M Zeraatpisheh, S Ayoubi, CW Brungard, P Finke
Geoderma 340, 249-258, 2019
452019
An integrated view of complex landscapes: a big data-model integration approach to transdisciplinary science
DPC Peters, ND Burruss, LL Rodriguez, DS McVey, EH Elias, ...
BioScience 68 (9), 653-669, 2018
432018
Predicting soil organic carbon concentrations in a low relief landscape, eastern Iran
MR Pahlavan-Rad, K Dahmardeh, C Brungard
Geoderma regional 15, e00195, 2018
402018
Some methods to improve the utility of conditioned Latin hypercube sampling
BP Malone, B Minansy, C Brungard
PeerJ 7, e6451, 2019
302019
Wind erosion potential of lacustrine and alluvial soils before and after disturbance in the eastern Great Basin, USA: Estimating threshold friction velocity using easier-to …
CW Brungard, JL Boettinger, LE Hipps
Aeolian research 18, 185-203, 2015
232015
Soils2026 and digital soil mapping–A foundation for the future of soils information in the United States
JA Thompson, S Kienast-Brown, T D'Avello, J Philippe, C Brungard
Geoderma regional 22, e00294, 2020
192020
Accounting for two-billion tons of stabilized soil carbon
CW Ross, S Grunwald, JG Vogel, D Markewitz, EJ Jokela, TA Martin, ...
Science of the total environment 703, 134615, 2020
172020
Alternative sampling and analysis methods for digital soil mapping in southwestern Utah
CW Brungard
Utah State University, 2009
152009
Rapid bulk density measurement using mobile device photogrammetry
M Whiting, SW Salley, DK James, JW Karl, CW Brungard
Soil science society of america journal 84 (3), 811-817, 2020
132020
Disaggregation of conventional soil map by generating multi realizations of soil class distribution (case study: Saadat Shahr plain, Iran)
M Jamshidi, MA Delavar, R Taghizadehe-Mehrjardi, C Brungard
Environmental monitoring and assessment 191, 1-15, 2019
92019
Evaluating digital soil mapping approaches for 3D mapping of soil organic carbon
M Jamshidi, MA Delavar, R Taghizadehe-Mehrjerdi, C Brungard
Iranian Journal of Soil Research 33 (2), 227-239, 2019
62019
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