Publications

Peer-reviewed Journal Articles/Conference Papers (names in bold are members of the Soil Sensing & Monitoring lab).

85. Biswas, A., Yin, S., Tursunniyaz, M., Mohammadi, N.K., Huang, J., Andrews, J. (2022). Geometrical optimization of printed interdigitated electrode (IDE) sensors to improve soil moisture sensitivity. IEEE Sensors Journal, in press. doi:10.1109/JSEN.2022.3200008

84. Min, X., Shangguan, Y., Huang, J., Wang, H., Shi, Z. (2022). Relative strengths recognition of nine mainstream satellite-based soil moisture products at the global scale. Remote Sensing, 14, 2739.

83. Wang, N., Peng, J., Chen, S., Huang, J., Li, H., Biswas, A., Yong, H., Shi, Z. (2022). Improving remote sensing of salinity on topsoil with crop residues using novel indices of optical and microwave bands. Geoderma, 422, 115935.

82. Wang, N., Peng, J., Xue, J., Zhang, X., Huang, J., Biswas, A., He, Y., Shi, Z. (2022). A framework for determining the total salt content of soil profiles using time-series Sentinel-2 images and a random forest-temporal convolution network. Geoderma, 409:115656.

81. Cahyana, D., Barus, B., Darmawan, Mulyanto, B., Sulaeman, Y., Huang, J. (2022). Using a fuzzy logic approach to reveal soil-landscape relationships produced by digital soil maps in the humid tropical region of East Java, Indonesia. Geoderma Regional 28:e00468.

80. Zhang, Y., Freedman, Z.B., Hartemink, A.E., Whitman, T., Huang, J. (2022). Characterizing soil microbial properties using MIR spectra across 12 ecoclimatic zones (NEON sites). Geoderma, 409:115647.

79. Chatterjee, S., Desai, A.R., Zhu, J., Townsend , P.A., Huang, J. (2022). Soil moisture as an essential component for delineating and forecasting agricultural rather than meteorological drought. Remote Sensing of Environment, 269:112833.

78. Yin, S., Tursunniyaz, M., Huang, J., Andrews, J. (2021) Dual-Printed Soil Sensors for Nitrate and Moisture Monitoring. In 2021 IEEE Sensors (pp. 1-4). IEEE.

77. Pittaki−Chrysodonta, Z., Hartemink, A.E., Huang, J. (2021). Rapid estimation of a soil−water retention curve using visible−near infrared spectroscopy. Journal of Hydrology, 603:127195.

76. Talib, A., Desai, A. R., Huang, J., Griffis, T. J., Reed, D. E., Chen, J., 2021. Evaluation of prediction and forecasting models for evapotranspiration of agricultural lands in the Midwest US. Journal of Hydrology, 600:126579.

75. Chatterjee, S., Hartemink, A.E., Triantafilis, J., Desai, A.R., Soldat, D., Zhu, J., Townsend, P.A., Zhang, Y., Huang, J., 2021. Characterization of field-scale soil variation using a stepwise multi-sensor fusion approach and a cost-benefit analysis. Catena, 201:105190.

74. Huang, J., Hartemink, A.E., Kucharik, C.J., 2021. Soil-dependent responses of US crop yields to climate variability and depth to groundwater. Agricultural Systems, 190:103085.

73. Pittaki-Chrysodonta, Z., Hartemink, A.E., Sanderman, J., Ge, Y., Huang, J., 2021. Evaluating three calibration transfer functions for predictions of soil properties using mid-infrared spectroscopy. Soil Science Society of America Journal, in press. DOI:10.1002/saj2.20225

72. Zhang, Y., Hartemink, A.E., Huang, J., 2021. Spectral signatures of soil horizons and soil orders – an exploratory study of 270 soil profiles. Geoderma, 389:114961.

71. Zhang, Y., Hartemink, A.E., Huang, J., Townsend, P.A., 2021. Synergistic use of hyperspectral imagery, Sentinel-1, and LiDAR improves mapping of soil physical and geochemical properties at the farm-scale. European Journal of Soil Science, in press. DOI:10.1111/ejss.13086

70. Huang, J., Desai, A.R., Zhu, J., Hartemink, A.E., Stoy, P., Loheide II, S. P., Bogena, H.R, Zhang, Y., Zhang, Z., Arriaga, F.J., 2020. Retrieving heterogeneous surface soil moisture at 100 m across the globe via fusion of remote sensing and land surface parameters. Frontiers in Water, 2:38.

69. Huang, J., Hartemink, A.E., 2020. Soil and environmental issues in sandy soils. Earth-Science Reviews, 103295.

68. Bockheim, J.G., Huang, J., Hartemink, A.E., 2020. Distribution and properties of sandy soils in the conterminous USA – A conceptual thickness model, and taxonomic analysis. Catena, 195:104746.

67. Huang, J., McBratney, A. B., Minasny, B., Malone, B., 2020. Evaluating an adaptive sampling algorithm to assist soil survey in New South Wales, Australia. Geoderma Regional: e00284.

66. Chatterjee, S., Huang, J., Hartemink, A.E., 2020. Establishing an Empirical Model for Surface Soil Moisture Retrieval at the U.S. Climate Reference Network Using Sentinel-1 Backscatter and Ancillary Data. Remote Sensing, 12(8): 1242.

65. Simon T., Zhang, Y., Hartemink, A.E., Huang, J., Walter, C., Yost, J.L., 2020. Predicting the color of sandy soils from Wisconsin, USA. Geoderma, 361:114039.

64. Huang, J., Hartemink, A.E., Zhang, Y., 2019. Climate and land-use change effects on soil carbon stocks over 150 years in Wisconsin, USA. Remote Sensing, 11(12):1504.

63. McBratney, A.B., Field, D., Morgan, C.L.S., Huang, J., 2019. On soil capability, capacity, and condition. Sustainability, 11(12):1-11.

62. Zhang, Y., Hartemink, A.E., Huang, J., 2019. Quantifying coarse fragments in soil samples using a digital camera. Eurasian Soil Science, 52:954–962.

61. Huang, J., Hartemink, A.E., Arriaga, F., Chaney, N.W., 2019. Unraveling location-specific and time-dependent interactions between soil water content and environmental factors in cropped sandy soils using Sentinel-1 and moisture probes. Journal of Hydrology, 575:780–793.

60. Yost, J.L., Huang, J., Hartemink, A.E., 2019. Spatial-temporal analysis of soil water storage and deep drainage under irrigated potatoes in the Central Sands of Wisconsin, USA. Agricultural Water Management, 217:226-235.

59. Wu, C., Huang, J., Zhu, H., Zhang, L., Minasny, B., Marchant, B.P., McBratney, A.B., 2019. Spatial changes in soil chemical properties in an agricultural zone in southeastern China due to land consolidation. Soil and Tillage Research, 187:1522–160.

58. Muzzamal, M., Huang, J., Nielson, R., Sefton, M., Triantafilis, J., 2018. Mapping soil particle-size fractions using additive log-ratio (ALR) and isometric log-ratio (ILR) transformations and proximally sensed ancillary data. Clays and Clay Minerals, 66:9–27.

57. Zare, E., Huang, J., Ahmed, F., Malik, R., Subasinghe, R., Triantafilis, J., 2018. Comparing traditional and digital soil mapping at a district scale using residual maximum likelihood analysis. Soil Research, 56:535–547.

56. Martínez, G., Huang, J., Vanderlinden, K., Giráldez, J.V., Triantafilis, J., 2018. Potential to predict depth‐specific soil–water content beneath an olive tree using electromagnetic conductivity imaging. Soil Use and Management, 34:236–248.

55. Dennerley C., Huang, J., Nielson, R., Sefton, M., Triantafilis, J., 2018. Identifying soil management zones in a sugarcane field using proximal sensed electromagnetic induction and gamma-ray spectrometry data. Soil Use and Management, 34:219–235.

54. Li, N., Zare, E., Huang, J., Triantafilis, J., 2018. Mapping soil CEC using Bayesian modeling and proximal sensors at the field scale. Soil Science Society of America Journal, 82:1203–1216.

53. Koganti, T., Narjary, B., Zare, E., Pathan, A.L., Huang, J., Triantafilis, J., 2018. Quantitative mapping of soil salinity using the dualem-21S instrument and EM inversion software. Land Degradation and Development, 29:1768–1781.

52. Shahbazia, F., Huang, J., McBratney, A.B., Hugh, P., 2018. Allocating soil profile descriptions to a novel comprehensive soil classification system. Geoderma, 329:54–60.

51. Huang, J., McBratney, A.B., Malone, B.P., Field, D.J., 2018. Mapping the transition from pre-European settlement to contemporary soil conditions in the Lower Hunter Valley, Australia. Geoderma, 329:27–42.

50. Huang, J., Purushothaman, R., McBratney, A.B., Bramley, H., 2018. Soil water extraction monitored per plot across a field experiment using repeated electromagnetic induction surveys. Soil Systems, 2:11.

49. Zare, E., Beucher, A., Huang, J., Boman, A., Mattbäck, S., Greve, M. H., Triantafilis, J., 2018. Three-dimensional imaging of active acid sulfate soil using a DUALEM-21S and EM inversion software. Journal of Environmental Management, 212:99–107.

48. Hughes, P., McBratney, A.B., Huang, J., Minasny, B., Micheli, E., Hempel, J., 2018. A nomenclature algorithm for a potentially global soil taxonomy. Geoderma, 322:56–70.

47. Hughes, P., McBratney, A.B., Minasny, B., Huang, J., Micheli, E., Hempel, J. Jones, E., 2018. Comparisons between USDA soil taxonomy and the Australian Soil Classification system II: Comparison of order, suborder and great group taxa. Geoderma, 322:48–55.

46. Huang, J., Minasny, B., McBratney, A.B., Padarian, J., Triantafilis, J., 2018. The location- and scale- specific correlation between temperature and soil carbon sequestration across the globe. Science of the Total Environment, 615:540–548.

45. Hughes, P., McBratney, A., Huang, J., Minasny, B., Hempel, J., Palmer, D. J., Micheli, E., 2017. Creating a novel comprehensive soil classification system by sequentially adding taxa from existing systems. Geoderma Regional, 11:123–140.

44. Huang, J., Buchanan S.M., Bishop, T.F.A, Triantafilis, J., 2017. terraGIS – a webGIS for delivery of digital soil maps in cotton growing areas of Australia. Soil Use and Management, 33:568–582.

43. Hughes, P., McBratney, A.B., Huang, J., Minasny, B., Micheli, E., Hempel, J., 2017. Comparisons between USDA Soil Taxonomy and the Australian Soil Classification System. I: Data harmonization, calculation of taxonomic distance and inter-taxa variation. Geoderma, 307:198–209.

42. Dakak, H., Huang, J., Zouahri, A., Douaik, A., Triantafilis, J., 2017. Mapping soil salinity in 3-dimensions using an EM38 and EM4Soil inversion modelling at the reconnaissance scale in central Morocco. Soil Use and Management, 33, 553–567.

41. Huang, J., Wu, C., Minasny, B., Roudier, P., McBratney, A.B., 2017. Unravelling scale- and location- specific variations in soil properties using the 2-dimensional empirical mode decomposition. Geoderma, 307:139–149.

40. Huang, J., Malone, B.P., Minasny, B., McBratney, A.B., Triantafilis, J., 2017. Evaluating a Bayesian modelling approach (INLA-SPDE) for environmental mapping. Science of the Total Environment, 609:621–632.

39. Jing, Y.Z., Huang, J., Banks, R., Triantafilis,J., 2017. Scope to map soil management units at the district level from remotely sensed -ray spectrometry and proximal sensed EM induction data. Soil Use and Management, 33:538–552.

38. Koganti, T., Moral F.J., Rebollo, F.J. Huang, J., Triantafilis,J., 2017. Mapping cation exchange capacity using a Veris-3100 instrument and invVERIS modelling software. Science of the Total Environment, 599–600:2156–2165.

37. Nagra, G., Burkett, D, Huang, J., Ward, C.R., Triantafilis, J., 2017. Field level digital mapping of soil mineralogy using proximal and remote-sensed data. Soil Use and Management, 33:425–436.

36. Stockmann, U., Huang, J., Minasny, B., Triantafilis, J., 2017. Utilizing a DUALEM‐421 and inversion modelling to map baseline soil salinity along toposequences in the Hunter Valley Wine district. Soil Use and Management, 33:413–424.

35. Huang, J., McBratney, A.B., Minasny, B., Triantafilis, J., 2017. 3D soil water nowcasting using electromagnetic conductivity imaging and the ensemble Kalman filter. Journal of Hydrology, 549:62–78.

34. Huang, J., Malte, M.C., Triantafilis, J., 2017. Cladistic analysis of Chinese Soil Taxonomy. Geoderma Regional, 10:11–20.

33. Holland, J.E., Biswas, A., Huang, J., Triantafilis, J., 2017. Scoping for scale-dependent relationships between proximal gamma radiometrics and soil properties. Catena, 154:40–49.

32. Wu, C., Huang, J.,Minasny, B., Zhu, H., 2017. Two-dimensional empirical mode decomposition of heavy metal spatial variation in agricultural soils, Southeast China. Environmental Science and Pollution Research, 24:8302–8314.

31. Huang, J., Bishop, T.F.A., Triantafilis, J., 2017. An error budget for digital soil mapping using proximally sensed EM induction and remotely sensed γ-ray spectrometer data. Soil Use and Management, 33:397–412

30. Huang, J., Kilminster, T., Barrett-Lennard, E., Triantafilis, J., 2017. Characterisation of field-scale dryland salinity with depth by quasi-3D inversion of DUALEM-1 data. Soil Use and Management, 33:205–215

29. Huang, J., Pedrera-Parrilla, A., Vanderlinden, K., Taguas, E.V., Gómez, J.A., Triantafilis, J., 2017. Potential to map depth-specific soil organic matter content across an olive grove using quasi-2d and quasi-3d inversion of DUALEM-21 data. Catena, 152:207–217.

28. Huang, J., Minasny, B., Whelan, B.M., McBratney A.B., Triantafilis, J., 2017. Temperature-dependent hysteresis effects on DUALEM instruments. Computers and Electronics in Agriculture, 132:76–85.

27. Huang, J., Scudiero, E., Clary, W., Corwin, D.L., Triantafilis, J., 2017. Time-lapse monitoring of soil water content using electromagnetic conductivity imaging. Soil Use and Management, 33:191–204.

26. Buchanan, S., Huang, J., Triantafilis, J., 2017. Salinity risk assessment using fuzzy multiple criteria evaluation. Soil Use and Management, 33:216–232.

25. Huang, J., Koganti, T., Monteiro Santos, F.A., Triantafilis, J., 2017. Mapping soil salinity and a fresh-water intrusion in three-dimensions using a quasi-3d joint-inversion of DUALEM-421S and EM34 data. Science of The Total Environment, 577:395–404.

24. Huang, J., McBratney, A.B., Minasny, B., Triantafilis, J. 2017. Monitoring and modelling soil water dynamics using electromagnetic conductivity imaging and the ensemble Kalman filter. Geoderma, 285, 76–93.

23. Huang, J., Monteiro Santos, F.A., Triantafilis, J. 2016. Mapping soil water dynamics and a moving wetting front by spatiotemporal inversion of electromagnetic induction data. Water Resources Research, 52:9131–9145.

22. Zare, E., Huang, J., Triantafilis, J., 2016. Identifying soil landscape units at the district scale by numerically clustering remote and proximal sensed data. Computers and Electronics in Agriculture, 127:510–520.

21. Huang, J., Scudiero, E., Bagtang, M., Corwin, D.L., Triantafilis, J., 2016. Monitoring scale-specific and temporal variation in electromagnetic conductivity images. Irrigation Science, 34: 187–200.

20. Guo, Y., Shi, Z., Huang, J., Zhou, L., Zhou, Y., Wang, L., 2016. Characterization of field scale soil variability using remotely and proximally sensed data and response surface method. Stochastic Environmental Research and Risk Assessment, 30:859–869.

19. Huang, J., Prochazkab, M.J., Triantafilis, J., 2016. Irrigation salinity hazard assessment and risk mapping in the lower Macintyre Valley, Australia. Science of The Total Environment, 551–552:460–473.

18. Huang, J., Scudiero, E., Choo, H., Corwin, D.L., Triantafilis, J., 2016. Mapping soil moisture across an irrigated field using electromagnetic conductivity imaging. Agricultural Water Management, 163:285–294.

17. Zare, E., Huang, J., Monteiro Santos, F.A., Triantafilis, J., 2015. Mapping salinity in three dimensions using a DUALEM-421 and Electromagnetic Inversion Software. Soil Science Society of America Journal, 79:1729–1740.

16. Huang, J., Barrett-Lennard, E.G., Kilminster, T., Sinnott, A., Triantafilis, J., 2015. An error budget for mapping field-scale soil salinity at various depths using different sources of ancillary data. Soil Science Society of America Journal, 79:1717–1728.

15. Guo, Y., Huang, J., Shi, Z., Li, H., 2015. Mapping spatial variability of soil salinity in a coastal paddy field based on electromagnetic sensors. PloS one, 10: e0127996.

14. Huang, J., Taghizadeh-Mehrjardi, R., Minasny, B., Triantafilis, J., 2015. Modelling soil salinity along a hill slope in Iran by inversion of EM38 data. Soil Science Society of America Journal, 79: 1142–1153.

13. Huang, J., Shi, Z., Biswas, A., 2015. Characterizing anisotropic scale-specific variations in soil salinity from a reclaimed marshland in China. Catena, 131: 64–73.

12. Huang, J., Zare E., Malik R.S., Triantafilis, J., 2015. An error budget for soil salinity mapping using different ancillary data. Soil Research, 53: 561–575.

11. Huang, J., Subasinghe, R., Malik, R.S., Triantafilis, J.,2015.Salinity hazard and risk mapping of point source salinisation using proximally sensed electromagnetic instruments. Computers and Electronics in Agriculture, 113: 213–224.

10. Huang, J., Mohktari, A.R., Cohen D.R., Monteiro Santos, F.A. Triantafilis, J., 2015.Modelling soil salinity across a gilgai landscape by inversion of EM38 and EM31 data. European Journal of Soil Science, 66:951–960.

9. Davies, G.B., Huang, J., Monteiro Santos, F.A., Triantafilis, J., 2015. Modelling coastal salinity using a DUALEM-421 and inversion software. Ground Water, 53: 424–431.

8. Huang, J., Subasinghe, R., Triantafilis, J., 2014. Mapping Particle-Size Fractions as a Composition Using Additive Log-Ratio Transformation and Ancillary Data. Soil Science Society of America Journal, 78: 1967–1976.

7. Ji, W., Shi, Z., Huang, J., Li, S., 2014. In situ measurement of some soil properties in paddy soil using visible and near-infrared spectroscopy. PLoS ONE, 9: e105708.

6. Goff, A., Huang, J., Wong, V., Monteiro Santos, F.A., Triantafilis, J., 2014. Electromagnetic conductivity imaging of soil salinity in an estuarine-alluvial landscape. Soil Science Society of America Journal, 78: 1686–1693.

5. Huang, J., Nhan, T., Wong, V., Johnston, S., Lark, R.M., Triantafilis, J., 2014. Digital soil mapping of a coastal acid sulfate soil landscape. Soil Research, 52: 327–339.

4. Huang, J.,Lark, R.M., Robinson, D.A., Lebron, I., Keith, A.M., Rawlins, B., Tye, A., Kuras, O., Raines, M., Triantafilis, J., 2014. Scope to predict soil properties at within-field scale from small samples using proximal sensed g-ray spectrometer and EM induction data, Geoderma, 232–234: 69–80.

3. Huang, J., Wong, V., Triantafilis, J., 2014. Mapping soil salinity and pH across an estuarine and alluvial plain using electromagnetic and digital elevation model data. Soil Use and Management, 30: 394–402.

2. Huang, J., Bowd, D.,  Davies, G.B., Monteiro Santos, F.A., Triantafilis, J., 2014. Spatial prediction of exchangeable sodium percentage at multiple depths using electromagnetic inversion modeling. Soil Use and Management, 30: 241–250.

1. Gooley, L., Huang, J.,Page, D., Triantafilis, J., 2014. Digital soil mapping of available water content using proximal and remotely sensed data. Soil Use and Management, 30: 139–151.

Conference presentations

36. McBratney, A.B., Minasny, B., Huang, J., Arrouays, D., Richer-De-Forges, A. C., Savin, I., Michéli, E., Anjos, L., Gelsleichter, Y., Jeon, S., 2022. CSCS2.0: A comprehensive soil classification system for quantitatively identifying soils across the world. 22nd World Congress of Soil Science: Soil Science crossing boundaries, changing society, Jul 2022, Glasgow, United Kingdom (07/31/2022-08/05/2022).

35. Hu, J., Huang, J., Desai, A.R., Hartemink, A.E., Townsend, P.A., 2021. Hotspots and coldspots of soil carbon change at NEON Sites: a Spatial-temporal framework for benchmarking carbon cycle models. American Geophysical Union 2021 Annual Meeting (12/13/2021-12/17/2021).

34. Zhang, Y., Freedman, Z., Hartemink, A.E., Whitman, T., Huang, J., 2021. Characterizing soil microbial properties using MIR spectra across 12 NEON eco-climatic domains. American Geophysical Union 2021 Annual Meeting (12/13/2021-12/17/2021).

33. Chatterjee, S., Desai, A.R., Zhu, J., Townsend, P.A., Huang, J., 2021. Soil moisture plays crucial role in delineating and forecasting agricultural and meteorological drought. American Geophysical Union 2021 Annual Meeting (12/13/2021-12/17/2021).

32. Huang, J., Hartemink, A.E., Kucharik, C., 2021. Soil-dependent responses of US crop yields to climate variability and depth to groundwater. American Geophysical Union 2021 Annual Meeting (12/13/2021-12/17/2021).

31. Hu, J., Huang, J., Hartemink, A.E., Desai, A.R., 2021. The impact of climate-soil-vegetation-human interaction on SOC change over 30 years across the National Ecological Observatory Network, USA. Ecological Society of America 2021 Annual Meeting (08/02/2021-08/06/2021).

30. Huang, J., Hartemink, A.E., Kucharik, C., 2021. Soil-dependent responses of US crop yields to climate variability and depth to groundwater. 2021 ASA, CSSA and SSSA International Annual Meeting (11/7/2021-11/10/2021).

29. Zhang, Y., Hartemink, A.E., Huang, J., 2021. Spectral Signatures of Soil Horizons and Soil Orders – an Exploratory Study of 270 Soil Profiles. 2021 ASA, CSSA and SSSA International Annual Meeting (11/7/2021-11/10/2021).

28. Zhang, Y., Freedman, Z., Hartemink, A.E., Whitman, T., Huang, J., 2021. Characterizing Soil Microbial Properties Using Mir Spectra across 12 Ecoclimatic Zones (NEON sites). 2021 ASA, CSSA and SSSA International Annual Meeting (11/7/2021-11/10/2021).

27. Pittaki-Chrysodonta, Z., Hartemink, A.E., Sanderman, J., Ge, Y., Huang, J., 2021. Calibration Transfer Methods for Predictions of Soil Properties Using Mid-Infrared Spectroscopy. 2021 ASA, CSSA and SSSA International Annual Meeting (11/7/2021-11/10/2021).

26. Hu, J., Huang, J., Hartemink, A.E., Desai, A.R., 2021. A climate-soil-vegetation-human interaction analysis for SOC change monitoring over 30 years across the National Ecological Observatory Network, USA. 3rd ISMC Conference – Advances in Modeling Soil Systems (05/18/2021-05/22/2021).

25. Huang, J., Desai, A.R., Zhu, J., Hartemink, A.E., Stoy, P., Loheide II, S. P., Bogena, H.R, Zhang, Y., Zhang, Z., Arriaga, F.J., 2021. A data-driven approach for mapping global surface soil moisture at 100 m using high-resolution remote sensing data and land surface parameters. 3rd ISMC Conference – Advances in Modeling Soil Systems (05/18/2021-05/22/2021).

24. Zhang, Y., Hartemink, A.E.,Huang, J., 2021. Spectral signatures of soil horizons and soil orders –an exploratory study of 270 soil profiles. Pedometrics (02/02/2021-02/04/2021).

23. Huang, J., Desai, A.R., Zhu, J., Hartemink, A.E., Stoy, P., Loheide II, S. P., Bogena, H.R, Zhang, Y., Zhang, Z., Arriaga, F.J., 2021. Retrieving heterogeneous surface soil moisture at 100 m across the globe via fusion of remote sensing and land surface parameters. Pedometrics (05/18/2021-05/22/2021).

22. Huang, J. 2020. Can we use remote sensing for field-level irrigation scheduling?
Challenges and opportunities in soil water dynamics modelling. Invited oral presentation at 2020 ASA, CSSA and SSSA International Annual Meeting (11/9/2019-11/13/2020).

21. Huang, J. 2020.Characterizing field-scale soil moisture dynamics with big data and machine learning: challenges and opportunities for digital agriculture. Invited talk and panel discussion at USDA ARS Geospatial Research Working Group: Challenges and opportunities in leveraging machine learning techniques to further sustainable and intensified agriculture, 08/28/2020.

20. Huang, J., Hartemink, A.E., Nemecek, J., Pena, K., Ferguson, R., Bailey, Scarlett. 2020.Using NRCS soil data and remote sensing to monitor soil change at the NEON sites and beyond across the US. Seminar at the Kellog Soil Survey Laboratory (02/19/2020), Lincoln, Nebraska, USA.

19. Huang, J., Chatterjee, S., Hu, J., 2020. Applications of proximal and remote sensing
in soil monitoring and management. Oral Presentation at USDA Soil Physics Working Group W4188: Soil, water, and environmental physics across scales to sustain agriculture and natural resources (01/02/2020 – 01/03/2020), Desert Research Institute, Las Vegas, Nevada, USA.

18. Huang, J., Chatterjee, S., Hartemink, A.E., Arriaga, F., Chaney, N.W., 2019. Unraveling location-specific and time-dependent interactions between soil water content and environmental factors in cropped sandy soils using Sentinel-1 and moisture probes. Oral Presentation at 2019 ASA, CSSA and SSSA International Annual Meeting (11/10/2019-11/13/2019), San Antonio, Texas, USA.

17. Huang, J., Hartemink, A.E., Arriaga, F., Chaney, N.W., 2019. Unraveling location-specific and time-dependent interactions between soil water content and environmental factors in cropped sandy soils using Sentinel-1 and moisture probes. Oral Presentation at Proximal Soil Sensing: Linking Soil Sensing to Management Decisions (05/28/2019-05/31/2019), Columbia, Missouri, USA.

16. Hartemink, A., Zhang, Y., Huang, J. 2019. Digital pedology? Studying soil profiles. Pedometrics 2019 (2-6 June 2019), Guelph, Ontario. (Contributed oral presentation)

15. Yost, J.L., J. Huang, and A. Hartemink. 2019. Spatial-temporal analysis of soil water storage and deep drainage under irrigated potatoes in the Central Sands of Wisconsin, USA. Pedometrics 2019 (2 June 2019 to 6 June 2019), Guelph, Ontario. (Poster presentation)

14. Huang, J., 2019. From data abundance to information scarcity: what do we need for digital agriculture? A case study of high-resolution mapping soil moisture in cropland using remote sensing and soil moisture probes. Oral Presentation at USDA Soil Physics Working Group W3188: Soil, water, and environmental physics across scales (01/10/2019 – 01/12/2019), Riverside, University of Riverside, USA.

13. Chatterjee, S., Huang, J., Hartemink, A.E. 2019. Mapping surface soil moisture at the 30-m resolution at the US climate reference network stations using Sentinel-1 and ancillary data. American Geophysical Union (AGU) Fall Meeting (9 Dec. 2019 to 13 Dec. 2019), San Francisco, California. (Oral presentation)

12. Huang, J. 2019. Unraveling location-specific and time-dependent interactions between soil water content and environmental factors in cropped sandy soils using Sentinel-1 and moisture probes. Proximal Soil Sensing Conference (28 May 2019 to 31 May 2019), Columbia, Missouri. (oral presentation)

11. Huang, J., Hartemink, A.E., Triantafilis, J., McBratney, A.B., Minasny, B., 2018. Applications of electromagnetic induction techniques in soil studies across different spatial and temporal scales. Invitedoral Presentation at World Congress of Soil Science (08/12/2018 – 08/17/2018), Rio de Janeiro, Brazil.

10. Huang, J., Purushothaman, R., McBratney, A.B., Bramley, H., 2018. Monitoring soil moisture dynamics at the plot scale using repeated electromagnetic induction surveys. Oral Presentation at World Congress of Soil Science (08/12/2018 – 08/17/2018), Rio de Janeiro, Brazil.

9. Huang, J.,McBratney, A.B., Minasny, B.,Triantafilis, J., 2017. Soil water nowcasting in 2‐D & 3‐D using electromagnetic conductivity imaging and the ensemble Kalman filter. Oral Presentation at Pedometrics (26/06/2017 – 01/07/2017), Wageningen, The Netherlands.

8. Zare, E., Huang, J.,Triantafilis, J., 2017. Identifying soil landscape units at the district scale by numerically clustering remote and proximal sensed data. Oral Presentation at Pedometrics (26/06/2017 – 01/07/2017), Wageningen, The Netherlands.

7. Holland, J., Poggio, L., Hewison, R., Huang, J., Taylor, J., Triantafilis, J., 2017. High resolution estimation of peat depth using electromagnetic induction in a Scottish peatland. Oral Presentation at Pedometrics (26/06/2017 – 01/07/2017), Wageningen, The Netherlands.

6. Dennerley, C., Huang, J.,Nielson, R., Sefton, M., Triantafilis, J., 2017. Identifying soil management zones in a sugarcane field using proximal sensed electromagnetic induction and gamma-ray spectrometry data. Oral Presentation at Pedometrics (26/06/2017 – 01/07/2017), Wageningen, The Netherlands.

5. Huang, J., Kiliminster, T., Zare, E., Barrett-Lennard, E., Monteiro Santos, F.A., Triantafilis, J., 2015. Quasi-3D modelling of dryland and irrigation salinity using a DUALEM data and EM4Soil inversion modelling. Oral Presentation at Pedometrics (14/09/2015 – 18/09/2015), Córdoba, Spain.

4. Huang, J., Scudiero, E., Choo, H., Clary, W., Corwin, D.L., Triantafilis, J., 2015. Time­lapse monitoring of soil water content using electromagnetic conductivity imaging. Oral Presentation at Pedometrics (14/09/2015 – 18/09/2015), Córdoba, Spain.

3. Goff, A., Huang, J., Wong, V., Triantafilis, J., 2014. Representing an estuarine-alluvial landscape in 2D using electromagnetic (EM) induction data and EM4Soil. Oral Presentation at National Soil Science Conference (23/11/2014 – 27/11/2014), Melbourne, Australia.

2. Huang, J., Mohktari, A.R., Cohen D.R., Monteiro Santos, F.A. Triantafilis, J., 2014.  23/11/2014 – 27/11/2014 Mapping salinity with depth using EM signal data and EM4soil. Poster Presentation at National Soil Science Conference (23/11/2014 – 27/11/2014), Melbourne, Australia.

1. Huang, J., Bowd, D., Davies, G.B., Monteiro Santos, F.A., Triantafilis, J., 2013. Spatial prediction of exchangeable sodium percentage at multiple depths using electromagnetic inversion modelling. Poster Presentation at Australian Cotton Research Conference (08/09/2013 – 11/09/2013), Narrabri, Australia.

Dr. Huang's lab