Dr. Nan Ye

Dr. Nan Ye

Adjunct Lecturer
Department of Civil and Environmental Engineering

Dr. Nan YE received his B.E. degree from Tsinghua University in China (2006) and his Ph.D. degree from Monash University in Australia (2015). He started working at Monash University Clayton campus as a Research Fellow in 2014 and was promoted to Senior Research Fellow in 2017. From 2022, he served as a Remote Sensing Scientist, focusing on the development of ground- and drone-based sensor technologies. In 2025, he joined the Monash Suzhou Science and Technology Research Institute as a Research Fellow and Lecturer.

Dr. YE’s research focuses on three areas: remote sensing experimental research, retrieval algorithm development, and applications of remote sensing. Since his Ph.D. study, Dr. YE has led 15 airborne field experiments for the calibration of validation of the SMOS and SMAP satellites over Australia, in collaboration with a wide range of research institutes including NASA, ESA, and CSA. He has made significant contributions to improving soil moisture retrieval models and extended the application of remote sensing technologies to practical fields such as agricultural irrigation management, road construction, and flash flood forecasting.

Qualifications

  • Ph.D., Department of Civil Engineering, Monash University, Australia, 2015
  • B.E., Department of Hydraulic and Hydropower Engineering, Tsinghua University, 2006

Teaching Commitments

  • ENG5005 – Research methods
  • ENG5006 – Research practice
  • CIV5881 – Ground water hydraulics
  • CIV5884 – Water sensitive stormwater design
  • CIV5899–Infrastructure information management

 

Research Grants

Jan. 2024–Present Time series multi-SAR methods for surface soil moisture retrieval, NSFC, General Project, 42371369,RMB¥520k, Co-Investigator
Jan. 2021 –Dec. 2024 Research on P-band passive microwave soil moisture remote sensing retrieval and adaptability, NSFC, General Project, 42071335, RMB¥550k, Principal Investigator.
Jan. 2021 – Dec. 2024 Towards an Active and Passive L- and P-band Soil Moisture Satellite Mission, ARC DP210100430, AU $600k, Coordinator.
Jan. 2017 – Dec. 2021 Towards P-band soil moisture sensing from space, ARC, DP170102373, AU $923.5k, Coordinator.
Jan. 2017 – Dec. 2017 Unmanned Aerial Vehicle (UAV) Based Mapping of Crop Water Stress, Monash Infrastructure, Seed Grant, AU $49k, Leader.
Jan. 2017 – Dec. 2017 Soil Moisture Mapping: An Inter-comparison, University of Tasmania, AU $35k, Leader.
Jan. 2015 – Dec. 2019 A Multi-frequency Microwave Radiometer System for Environmental Research, ARC, LE150100047, AU$540k +$350k, Coordinator.
Jan. 2014 – Dec. 2018 MoistureMonitor: A Multi-mission Soil Moisture Monitoring System for a Water Limited Future, ARC, DP140100572, AU$548k, Coordinator.
Jan. 2013 – Dec. 2016 SAR and high resolution optical remote sensing joint retrieval of Snow Water Equivalent, NSFC, General Project, 41271353, RMB¥750k, Key participant.
Jan. 2008 – Dec. 2011 MoistureMap: A Soil Moisture Monitoring, Prediction and Reporting System for Sustainable Land and Water Management, ARC, DP0879212, AU$910k, Participant.

 

Supervision

Luisa F. White-Murillo, Ph.D., Passive-passive L- and P-band soil moisture mapping, 2021 to Present.

 

Peer-reviewed Journal Articles

[1]   White-Murillo L.F., Walker J.P., Ye N., Hills J., Wu X., Zhou L., Xiong Z., Zhu L., Ng B., Moghaddam M., Yueh S., 2025, Towards resolution enhancement of P-band brightness temperature data using passive-passive downscaling with L-band radiometer data. Remote Sensing of Environment, 323: 114737.

[2]   Brakhasi F., Walker J., Judge, J., Liu P., Shen X., Ye N., Wu X., Yeo I., Kim E., Kerr Y.H., Jackson T.J., 2024, Soil moisture profile estimation under bare and vegetated soils using combined L-band and P-band radiometer observations: An incoherent modeling approach. Remote Sensing of Environment, 307: 114148.

[3]   Ye N., Walker J.P., Gao Y., PopStefanija I., Hills J., 2024, Comparison Between Thermal-Optical and L-Band Passive Microwave Soil Moisture Remote Sensing at Farm Scales: Towards UAV-Based Near-Surface Soil Moisture Mapping. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17:633-642.

[4]   Brakhasi F., Walker J., Judge, J., Liu P., Shen X., Ye N., Wu X., Yeo I., Boopathi N., Kim E., Kerr Y.H., Jackson T.J., 2024, A Comparison of Passive Microwave Emission Models for Estimating Brightness Temperature at L- and P-Bands Under Bare and Vegetated Soil Conditions. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17:2570-2585.

[5]   Muzalevskiy K.V., Walker J.P., Brakhasi F., Ye N., Wu X. and Shen X., 2024. On the Use of Dual-Polarized Multi-angular Observations of P-band Brightness Temperature for Soil Moisture Profile Retrieval in Thawed Mineral Soil. International Journal of Remote Sensing, 45(5): 1498-1521.

[6]   Wu X., Walker J.P., Ye N., 2024. Evaluation of the Bayesian Downscaling Algorithm for Achieving Higher Resolution Soil Moisture Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, DOI 10.1109/JSTARS.2024.3366886.

[7]   Brakhasi F, Walker J P, Ye N, Wu X, Shen X, Yeo I, Boopathi N, Kim E, Kerr Y, Jackson T J, 2023. Towards soil moisture profile estimation in the root zone using L- and P-band radiometer observations: A coherent modelling approach. Science of Remote Sensing. 7. 100079. 10.1016/j.srs.2023.100079.

[8]   Shen X, Walker J P, Ye N, Wu X, Brakhasi F, Zhu L, Kim E, Kerr Y, Jackson T J, 2023. Evaluation of the Tau-Omega Model Over a Dense Corn Canopy at P- and L-Band. IEEE Geoscience and Remote Sensing Letters. PP. 1-1. 10.1109/LGRS.2023.3315869.

[9]   Nguyen T.M., Walker J.P., Ye N., Kodikara J., 2023. Towards an Improved Surface Roughness Parameterization Model for Soil Moisture Retrieval in Road Construction, IEEE Transactions on Geoscience and Remote Sensing, 61, 5300313.

[10] Shen X, Walker J P, Ye N, Wu X, Brakhasi F, Boopathi N, Zhu L, Yeo I-Y, Kim E, Kerr Y, Jackson T, 2022. Impact of Random and Periodic Surface Roughness on P- and L-band Radiometry, Remote Sensing of Environment, 269: 112825.

[11] Shen, X, Walker, J P, Ye, N, Wu, X, Brakhasi, F, Boopathi, N, Zhu, L, Yeo, I-Y, Kim, E, Kerr, Y, Jackson, T, 2022. Evaluation of the Tau-omega Model Over Bare and Wheat-covered Flat and Periodic Soil Surfaces at P- and L-band, Remote Sensing of Environment, 273: 112960.

[12] Nguyen T M, Walker J P, Ye N, Kodikara J, 2023. Use of an L-band Radiometer for Proximal Moisture Measurement in Road Construction, Transportation Geotechnics, 38:100876.

[13] Wu X, Walker J P, Jonard F, Ye N, 2022. Inter-comparison of proximal near-surface soil moisture measurement techniques, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15(9):2370-2378.

[14] Nguyen T M, Walker J P, Ye N, Kodikara J, 2022. Environmental Effects on Brightness Temperature Observation From an L-Band Radiometer, IEEE Geoscience and Remote Sensing Letters, 19: 5003405.

[15] Johnson J T, Jezek K C, Macelloni G, Brogioni M, Tsang L, Dinnat E, Walker J P, Ye N, Misra S, Piepmeier J R, Bindlish R, Le Vine D M, O’neill P E, Kaleschke L, Andrews M, Yardim C, Aksoy M, Durand M, Chen C-C, Demir O & 14 others, 2021, “Microwave radiometry at frequencies from 500 to 1400 MHz: an emerging technology for earth observations”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, p. 4894-4914 20 p.

[16] Ye N, Walker J P, Wu X, de Jeu R, Gao Y, Jackson T J, Jonard F, Kim E, Merlin O, Pauwels V R N, Renzullo L J, Rüdiger C, Sabaghy S, von Hebel C, Yueh S H, Zhu L, 2021, The Soil Moisture Active Passive Experiments: Validation of the SMAP Products in Australia, IEEE Transactions on Geoscience and Remote Sensing, 59(4), 2922 – 2939.

[17] Ye N, Walker J P, Yeo I, Jackson T J, Kerr Y, Kim E, McGrath A, PopStefanija I, Goodberlet M, Hills J, 2021, Toward P-Band Passive Microwave Sensing of Soil Moisture, IEEE Geoscience and Remote Sensing Letters, 12.

[18] Wu H., Liu D., Huang Q., Zheng H., Zou H., Ye N., Lin M.. Study on accuracy evaluation and substitutability of multiple precipitation products on Loess Plateau. Journal of Hydroelectric Engineering [Chinese], 2021, 40(6): 31-40.

[19] Sabaghy S, Walker J P, Renzullo L J, Akbar R, Chan S, Chaubell J, Das N, Dunbar R S, Entekhabi D, Gevaert A, Jackson T J, Loew A, Merlin O, Moghaddam M, Peng J, Piepmeier J, Rüdiger C, Stefan V, Wu X, Ye N, Yueh S, 2020, Comprehensive analysis of alternative downscaled soil moisture products, Remote Sensing of Environment, 239: 111586.

[20] Shen X, Walker J P, Ye N, Xiaoling Wu, Nithyapriya Boopathi, In-Young Yeo, Linlin Zhang, Liujun Zhu, 2020, Soil Moisture Retrieval Depth of P-and L-Band Radiometry: Predictions and Observations, in IEEE Transactions on Geoscience and Remote Sensing, 59(8), 6814 – 6822.

[21] Zhu L, Walker J P, Ye N, Rüdiger C, 2019, Roughness and vegetation change detection: A pre-processing for soil moisture retrieval from multi-temporal SAR imagery, Remote Sensing of Environment, 225: 93 – 106.

[22] Ye N, Walker J P, Rudiger C, Ryu D, Gurney R J, 2019, Impact of Urban Cover Fraction on SMOS and SMAP Surface Soil Moisture Retrieval Accuracy, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(9): 3338-3350.

[23] Ye N, Walker J P, Bindlish R, Chaubell J, Das N N, Gevaert A I, Jackson T J, Rüdiger C, 2019, Evaluation of SMAP downscaled brightness temperature using SMAPEx-4/5 airborne observations, Remote Sensing of Environment, 221: 363 – 372.

[24] Zhu L, Walker J P, Tsang L, Huang H, Ye N, Rüdiger C, 2019, A multi-frequency framework for soil moisture retrieval from time series radar data, Remote Sensing of Environment, 235: 111433.

[25] Ye N, Walker J P, Rudiger C, Ryu D, Gurney R J, 2018, Surface rock effects on soil moisture retrieval from L-band passive microwave observations, Remote Sensing of Environment, 215: 33-43.

[26] Wang J, Feng X, Xiao P, Ye N, Zhang X, Cheng Y, 2018, Snow Grain-Size Estimation Over Mountainous Areas From MODIS Imagery, IEEE Geoscience and Remote Sensing Letters, 15(1): 97-101.

[27] Gao Y, Walker J P, Ye N, Panciera R, Monerris A, Ryu D, Rudiger C, Jackson T J, 2018, Evaluation of the Tau-Omega Model for Passive Microwave Soil Moisture Retrieval Using SMAPEx Datasets, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(3): 888-895.

[28] Zhu L, Walker J P, Ye N, Rudiger C, Hacker J M, Panciera R, Tanase M A, Wu X, Gray D A, Stacy N, Goh A, Yardley H, Mead J, 2018, The Polarimetric L-Band Imaging Synthetic Aperture Radar (PLIS): Description, Calibration, and Cross-Validation, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1-13.

[29] He L, Hong Y, Wu X, Ye N, Walker J P, Chen X, 2018, Investigation of SMAP Active-Passive Downscaling Algorithms Using Combined Sentinel-1 SAR and SMAP Radiometer Data, IEEE Transactions on Geoscience and Remote Sensing, 56(8): 4906-4918.

[30] Zhang X, Xiao P, Feng X, Feng L, Ye N, 2015, Toward Evaluating Multiscale Segmentations of High Spatial Resolution Remote Sensing Images, IEEE Transactions on Geoscience and Remote Sensing, 53(7): 3694-3706.

[31] Ye N, Walker J P, Rudiger C, 2015, A Cumulative Distribution Function Method for Normalizing Variable-Angle Microwave Observations, IEEE Transactions on Geoscience and Remote Sensing, 53(7): 3906-3916.

[32] Ye N, Walker J P, Guerschman J, Ryu D, Gurney R J, 2015, Standing water effect on soil moisture retrieval from L-band passive microwave observations, Remote Sensing of Environment, 169: 232-242.

[33] Wang J., Feng X., Xiao P., Zhang X., Zhu L., Ye N., Li Y., 2015, Retrieval of snow grain size using HJ-1 satellite in mountainous areas of Manasi River Basin. Journal of Nanjing University(Natural Sciences) [Chinese], 51(5): 987-995

[34] Li Y., Feng X., Xiao P., Ye N., 2015, Estimating per-pixel snow cover fraction from MODIS in typical area of Bayanbulak. Journal of Nanjing University(Natural Sciences) [Chinese], 51(5): 1022-1029

[35] He G., Feng X., Xiao P., Ye N., Wang Z., Chen N., Li M., 2015, Characterization of C band SAR image for snow in mountainous areas of Manasi River Basin. Journal of Nanjing University(Natural Sciences) [Chinese], 51(5): 955-965

[36] Ye N., Feng X., Xiao P., He G., Chen N., Zhang X., Zhu L., Wang Z., Li M., Jiang L., 2015, Snow remote sensing field experiments in Manasi River Basin. Journal of Nanjing University(Natural Sciences) [Chinese], 51(5): 921-928

[37] Jiang L., Xiao P., Feng X., Ye N., He G., Zhang X., 2015, Calculation of snow reflectance from GF-1 satellite image in rugged mountain areas. Journal of Nanjing University(Natural Sciences) [Chinese], 51(5): 944-954

[38] Li, D., Jin, R., Che, T., Walker, J. P., Gao, Y., Ye, N., and Wang, S., 2014. Soil Moisture Retrieval from Airborne PLMR and MODIS Products in Zhangye Oasis of Heihe River Basin, China. Advances in Earth Science, 29(2): 295-305.

[39] Peischl S, Walker J P, Ye N, Ryu D, Kerr Y, 2014, Sensitivity of multi-parameter soil moisture retrievals to incidence angle configuration, Remote Sensing of Environment, 143: 64-72.

[40] Peischl S, Walker J P, Ruediger C, Ye N, Kerr Y H, Kim E, Bandara R, Allahmoradi M, 2012, The AACES field experiments: SMOS calibration and validation across the Murrumbidgee River catchment, Hydrology and Earth System Sciences, 16(6): 1697-1708.

 

Books

[1]   Feng, X., Xiao P., Zhang X., Du J., Xie S., Ye N.; et al. , 2019, TianShan middle section snow remote sensing and application [Chinese], China Science Publishing & Media Ltd.

[2]   Walker, J. P., Ye N., and Zhu, L. , 2022, Advances in Remote/Aerial Sensing Techniques for Monitoring Soil Health. In: Lobsey, C. and Biswas, A., (Ed.), Advances in Sensor Technology for Sustainable Crop Production, Burleigh Dodds Science publishing.

Last modified: 28/05/2026