| Tracking crop phenological development using multi-temporal polarimetric Radarsat-2 data F Canisius, J Shang, J Liu, X Huang, B Ma, X Jiao, X Geng, JM Kovacs, ... Remote Sensing of Environment 210, 508-518, 2018 | 158 | 2018 |
| Assessment of Forest above Ground Biomass Estimation Using Multi-Temporal C-band Sentinel-1 and Polarimetric L-band PALSAR-2 Data X Huang, B Ziniti, N Torbick, M Ducey Remote Sensing 10 (9), 1-15, 2018 | 92 | 2018 |
| High Resolution Modeling of River‐floodplain‐reservoir Inundation Dynamics in the Mekong River Basin S Shin, Y Pokhrel, D Yamazaki, X Huang, N Torbick, J Qi, S Pattanakiat, ... Water Resources Research, 2020 | 77 | 2020 |
| Application of polarization signature to land cover scattering mechanism analysis and classification using multi-temporal C-band polarimetric RADARSAT-2 imagery X Huang, J Wang, J Shang, C Liao, J Liu Remote Sensing of Environment 193, 11-28, 2017 | 72 | 2017 |
| Fusion of Moderate Resolution Earth Observations for Operational Crop Type Mapping N Torbick, X Huang, B Ziniti, D Johnson, J Masek, M Reba Remote Sensing 10 (7), 1-16, 2018 | 65 | 2018 |
| Estimating soil moisture over winter wheat fields during growing season using machine-learning methods L Chen, M Xing, B He, J Wang, J Shang, X Huang, M Xu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 60 | 2021 |
| Synergistic use of multi-temporal RADARSAT-2 and VENµS data for crop classification based on 1D convolutional neural network C Liao, J Wang, Q Xie, AA Baz, X Huang, J Shang, Y He Remote Sensing 12 (5), 832, 2020 | 57 | 2020 |
| Using machine learning for estimating rice chlorophyll content from in situ hyperspectral data G An, M Xing, B He, C Liao, X Huang, J Shang, H Kang Remote Sensing 12 (18), 3104, 2020 | 56 | 2020 |
| Sensitivity study of Radarsat-2 polarimetric SAR to crop height and fractional vegetation cover of corn and wheat C Liao, J Wang, J Shang, X Huang, J Liu, T Huffman International journal of remote sensing 39 (5), 1475-1490, 2018 | 50 | 2018 |
| Retrieving surface soil moisture over wheat and soybean fields during growing season using modified water cloud model from Radarsat-2 SAR data M Xing, B He, X Ni, J Wang, G An, J Shang, X Huang Remote Sensing 11 (16), 1956, 2019 | 42 | 2019 |
| An integrated surface parameter inversion scheme over agricultural fields at early growing stages by means of C-band polarimetric RADARSAT-2 imagery X Huang, J Wang, J Shang IEEE Transactions on Geoscience and Remote Sensing 54 (5), 2510-2528, 2016 | 40 | 2016 |
| An adaptive two-component model-based decomposition on soil moisture estimation for C-band RADARSAT-2 imagery over wheat fields at early growing stages X Huang, J Wang, J Shang IEEE Geoscience and Remote Sensing Letters 13 (3), 414-418, 2016 | 27 | 2016 |
| Soil moisture retrieval using SAR backscattering ratio method during the crop growing season M Xing, L Chen, J Wang, J Shang, X Huang Remote Sensing 14 (13), 3210, 2022 | 24 | 2022 |
| Cropland mapping with L-band UAVSAR and development of NISAR products X Huang, M Reba, A Coffin, BRK Runkle, Y Huang, B Chapman, B Ziniti, ... Remote Sensing of Environment 253, 112180, 2021 | 23 | 2021 |
| Simplified adaptive volume scattering model and scattering analysis of crops over agricultural fields using the RADARSAT-2 polarimetric synthetic aperture radar imagery X Huang, J Wang, J Shang Journal of Applied Remote Sensing 9 (1), 096026-096026, 2015 | 20 | 2015 |
| A multi-temporal binary-tree classification using polarimetric RADARSAT-2 imagery X Huang, C Liao, M Xing, B Ziniti, J Wang, J Shang, J Liu, T Dong, Q Xie, ... Remote Sensing of Environment 235, 111478, 2019 | 15 | 2019 |
| Comparison between dense l-band and c-band synthetic aperture radar (sar) time series for crop area mapping over a nisar calibration-validation site S Kraatz, N Torbick, X Jiao, X Huang, LD Robertson, A Davidson, ... Agronomy 11 (2), 273, 2021 | 14 | 2021 |
| Contribution of minimum noise fraction transformation of multi-temporal RADARSAT-2 polarimetric SAR data to cropland classification C Liao, J Wang, X Huang, J Shang Canadian Journal of Remote Sensing 44 (3), 215-231, 2018 | 14 | 2018 |
| Extraction of areas of rice false smut infection using UAV hyperspectral data G An, M Xing, B He, H Kang, J Shang, C Liao, X Huang, H Zhang Remote Sensing 13 (16), 3185, 2021 | 12 | 2021 |
| Evaluating NISAR's cropland mapping algorithm over the conterminous United States using Sentinel-1 data S Rose, S Kraatz, J Kellndorfer, MH Cosh, N Torbick, X Huang, P Siqueira Remote Sensing of Environment 260, 112472, 2021 | 12 | 2021 |
Jiali ShangSenior Research Scientist, Science and Technology Branch, Agriculture and Agri-Food Canada在 agr.gc.ca 的电子邮件经过验证
