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Nan Li
Nan Li
University of California Riverside, U.S. Salinity Laboratory
在 ucr.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Predicting soil physical and chemical properties using vis-NIR in Australian cotton areas
D Zhao, M Arshad, N Li, J Triantafilis
Catena 196, 104938, 2021
842021
Mapping cation exchange capacity using a quasi-3d joint inversion of EM38 and EM31 data
D Zhao, N Li, E Zare, J Wang, J Triantafilis
Soil and Tillage Research 200, 104618, 2020
602020
Mapping soil cation‐exchange capacity using bayesian modeling and proximal sensors at the field scale
N Li, E Zare, J Huang, J Triantafilis
Soil Science Society of America Journal 82 (5), 1203-1216, 2018
382018
Digital regolith mapping of clay across the Ashley irrigation area using electromagnetic induction data and inversion modelling
X Zhao, J Wang, D Zhao, N Li, E Zare, J Triantafilis
Geoderma 346, 18-29, 2019
302019
Identifying potential leakage zones in an irrigation supply channel by mapping soil properties using electromagnetic induction, inversion modelling and a support vector machine
E Zare, N Li, T Khongnawang, M Farzamian, J Triantafilis
Soil Systems 4 (2), 25, 2020
272020
Comparing management zone maps to address infertility and sodicity in sugarcane fields
M Arshad, N Li, D Zhao, M Sefton, J Triantafilis
Soil and Tillage Research 193, 122-132, 2019
272019
Determination of the optimal mathematical model, sample size, digital data and transect spacing to map CEC (Cation exchange capacity) in a sugarcane field
X Zhao, M Arshad, N Li, E Zare, J Triantafilis
Computers and Electronics in Agriculture 173, 105436, 2020
252020
Digital soil mapping based site-specific nutrient management in a sugarcane field in Burdekin
N Li, X Zhao, J Wang, M Sefton, J Triantafilis
Geoderma 340, 38-48, 2019
242019
Determining optimal digital soil mapping components for exchangeable calcium and magnesium across a sugarcane field
N Li, M Arshad, D Zhao, M Sefton, J Triantafilis
Catena 181, 104054, 2019
232019
Inorganic carbon is overlooked in global soil carbon research: A bibliometric analysis
S Raza, A Irshad, A Margenot, K Zamanian, N Li, S Ullah, K Mehmood, ...
Geoderma 443, 116831, 2024
182024
Field‐scale digital soil mapping of clay: Combining different proximal sensed data and comparing various statistical models
M Arshad, N Li, LD Bella, J Triantafilis
Soil Science Society of America Journal 84 (2), 314-330, 2020
182020
From prairie to crop: Spatiotemporal dynamics of surface soil organic carbon stocks over 167 years in Illinois, USA
N Li, S Zhou, AJ Margenot
Science of The Total Environment 857, 159038, 2023
92023
Multi-site evaluation of stratified and balanced sampling of soil organic carbon stocks in agricultural fields
E Potash, K Guan, AJ Margenot, DK Lee, A Boe, M Douglass, E Heaton, ...
Geoderma 438, 116587, 2023
82023
Comparison of a digital soil map and conventional soil map for management of topsoil exchangeable sodium percentage
N Li, D Zhao, M Arshad, M Sefton, J Triantafilis
Soil Use and Management 38 (1), 121-134, 2022
82022
Relationships among soil moisture at various depths under diverse climate, land cover and soil texture
N Li, TH Skaggs, P Ellegaard, A Bernal, E Scudiero
Science of The Total Environment 947, 174583, 2024
72024
Soil meets stream: Vertical distribution of soil phosphorus in streambanks
S Zhou, N Li, AJ Margenot
Geoderma 424, 115989, 2022
52022
Digital mapping of soil classes in southeast Brazil: Environmental covariate selection, accuracy, and uncertainty
MEC Monteiro, FP Avalos, MHP Pelegrino, RB Vilela, FWA Júnior, ...
Journal of South American Earth Sciences 132, 104640, 2023
32023
Distinct soil health indicators are associated with variation in maize yield and tile drain nitrate losses
N Li, D Bullock, C Butts‐Wilmsmeyer, L Gentry, G Goodwin, J Han, ...
Soil Science Society of America Journal 87 (6), 1332-1347, 2023
22023
Improved prediction of soil exchangeable sodium percentage (ESP) using wavelet
N Li, E Zare, M Muzzamal, M Sefton, J Triantafilis
Computers and Electronics in Agriculture 209, 107810, 2023
22023
In-Season Estimation of Crop Yield Using High Spatial Resolution Time-Series Satellite Imagery: A Case Study of Japanese Squash in Hollister, California
N Li, TH Skaggs, E Scudiero
ASA, CSSA, SSSA International Annual Meeting, 2024
2024
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