Using the NDVI contribution ratio at different growth stages to estimate winter wheat yield. - Juanjuan Jing; Jihua Wang; Pengxin Wang; Yuchun Pan; Liangyun Liu; Jindi Wang; Hua Wang; Wenjiang Huang (IGARSS, 2003)

Using path analysis to study correlation and causation in remote sensing inversion. - Pengxin Wang; Xiaowen Li 001; Jindi Wang (IGARSS, 2003)

Correlation analysis between hyperspectral feature and foliage water content in the growth period of winter wheat. - Changzuo Wang; Chunjiang Zhao 001; Jindi Wang; Jihua Wang; Liangyun Liu; Pengxin Wang; Juanjuan Jing; Zhijie Wang (IGARSS, 2003)

An approach on LAI assimilation between field measurement and crop model simulation. - Hua Wang; Pengxin Wang; Liming He; Xiaowen Li 001; Jindi Wang; Juanjuan Jing; Peijuan Wang (IGARSS, 2003)

A study on thermal inertia approach for agricultural drought monitoring in Shaanxi Province, China by using NOAA/AVHRR data. - Xingmin Li; Anlin Liu; Shuyu Zhang 001; Zhao Wang; Wei Sun; Pengxin Wang (IGARSS, 2004)

Soil thermal inertia estimation by combining afternoon and morning AVHRR data with a modified diurnal land surface temperature change model. - Pengxin Wang; Xiaowen Li; Wei Sun; Xingmin Li; Shuyu Zhang 001; Anlin Liu (IGARSS, 2004)

Using crop simulation model to study the time lag between precipitation and NDVI and its effect on NDVI based agricultural applications. - Pengxin Wang; Kai Yan 001; Wei Sun; Xiaowen Li 001; Jindi Wang (IGARSS, 2004)

An airborne multi-angle power line inspection system. - Guangjian Yan; Junfa Wang; Qiang Liu 009; Lin Su; Pengxin Wang; Junming Liu; Wuming Zhang; Zhiqiang Xiao 002 (IGARSS, 2007)

Use of Ceres-Wheat Model for Wheat Yield Forecast in Beijing. - Xian Wang; Chunjiang Zhao 001; Cunjun Li; Liangyun Liu; Wenjiang Huang; Pengxin Wang (CCTA (1), 2008)

Drought forecasting based on the remote sensing data using ARIMA models. - Ping Han; Pengxin Wang; Shuyu Zhang 001; Dehai Zhu (Math. Comput. Model., 2010)

Application of the ARIMA Models in Drought Forecasting Using the Standardized Precipitation Index. - Ping Han; Pengxin Wang; Miao Tian; Shuyu Zhang 001; Junming Liu; Dehai Zhu (CCTA (1), 2012)

Drought Forecasting with Vegetation Temperature Condition Index Using ARIMA Models in the Guanzhong Plain. - Miao Tian; Pengxin Wang; Jahangir Khan (Remote. Sens., 2016)

An Up-Scaled Vegetation Temperature Condition Index Retrieved From Landsat Data with Trend Surface Analysis. - Xuejiao Bai; Pengxin Wang; Hongshuo Wang; Yi Xie (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Assimilation of Leaf Area Index and Surface Soil Moisture With the CERES-Wheat Model for Winter Wheat Yield Estimation Using a Particle Filter Algorithm. - Yi Xie; Pengxin Wang; Huitao Sun; Shuyu Zhang 001; Li Li 059 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Mapping MODIS LST NDVI Imagery for Drought Monitoring in Punjab Pakistan. - Jahangir Khan; Pengxin Wang; Yi Xie; Lei Wang 210; Li Li 059 (IEEE Access, 2018)

Developing an integrated indicator for monitoring maize growth condition using remotely sensed vegetation temperature condition index and leaf area index. - Lei Wang 210; Pengxin Wang; Li Li 059; Lan Xun; Qingling Kong; Shunlin Liang (Comput. Electron. Agric., 2018)

A Novel Feature Enhancement Method Based on Improved Constraint Model of Online Dictionary Learning. - Huaqing Wang; Pengxin Wang; Liuyang Song; Bangyue Ren; Lingli Cui (IEEE Access, 2019)

Monitoring maize growth conditions by training a BP neural network with remotely sensed vegetation temperature condition index and leaf area index. - Lei Wang 210; Pengxin Wang; Shunlin Liang; Xuan Qi; Li Li 059; Lianxiang Xu (Comput. Electron. Agric., 2019)

Linking an agro-meteorological model and a water cloud model for estimating soil water content over wheat fields. - Dong Han; Pengxin Wang; Kevin Tansey; Xijia Zhou; Shuyu Zhang 001; Huiren Tian; Jingqi Zhang; Hongmei Li (Comput. Electron. Agric., 2020)

An IPSO-BP neural network for estimating wheat yield using two remotely sensed variables in the Guanzhong Plain, PR China. - Huiren Tian; Pengxin Wang; Kevin Tansey; Shuyu Zhang 001; Jingqi Zhang; Hongmei Li (Comput. Electron. Agric., 2020)

Monitoring maize growth on the North China Plain using a hybrid genetic algorithm-based back-propagation neural network model. - Lei Wang 210; Pengxin Wang; Shunlin Liang; Yongchao Zhu; Jahangir Khan; Shibo Fang (Comput. Electron. Agric., 2020)

Reconstruction of time series leaf area index for improving wheat yield estimates at field scales by fusion of Sentinel-2, -3 and MODIS imagery. - Xijia Zhou; Pengxin Wang; Kevin Tansey; Shuyu Zhang 001; Hongmei Li; Huiren Tian (Comput. Electron. Agric., 2020)

Developing a fused vegetation temperature condition index for drought monitoring at field scales using Sentinel-2 and MODIS imagery. - Xijia Zhou; Pengxin Wang; Kevin Tansey; Shuyu Zhang 001; Hongmei Li; Lei Wang 210 (Comput. Electron. Agric., 2020)

Drought Monitoring Using the Sentinel-3-Based Multiyear Vegetation Temperature Condition Index in the Guanzhong Plain, China. - Xijia Zhou; Pengxin Wang; Kevin Tansey; Darren Ghent; Shuyu Zhang 001; Hongmei Li; Lei Wang 210 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network. - Huaqing Wang; Shi Li; Liuyang Song; Lingli Cui; Pengxin Wang (IEEE Trans. Instrum. Meas., 2020)

A deep learning framework under attention mechanism for wheat yield estimation using remotely sensed indices in the Guanzhong Plain, PR China. - Huiren Tian; Pengxin Wang; Kevin Tansey; Dong Han; Jingqi Zhang; Shuyu Zhang 001; Hongmei Li (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Improving Wheat Yield Estimates by Integrating a Remotely Sensed Drought Monitoring Index Into the Simple Algorithm for Yield Estimate Model. - Dong Han; Pengxin Wang; Kevin Tansey; Shuyu Zhang 001; Huiren Tian; Yue Zhang; Hongmei Li (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

A High-Stability Diagnosis Model Based on a Multiscale Feature Fusion Convolutional Neural Network. - Pengxin Wang; Liuyang Song; Xudong Guo; Huaqing Wang; Lingli Cui (IEEE Trans. Instrum. Meas., 2021)

Integrating an attention-based deep learning framework and the SAFY-V model for winter wheat yield estimation using time series SAR and optical data. - Dong Han; Pengxin Wang; Kevin Tansey; Junming Liu; Yue Zhang; Huiren Tian; Shuyu Zhang 001 (Comput. Electron. Agric., 2022)

Improving wheat yield estimates using data augmentation models and remotely sensed biophysical indices within deep neural networks in the Guanzhong Plain, PR China. - Jingqi Zhang; Huiren Tian; Pengxin Wang; Kevin Tansey; Shuyu Zhang 001; Hongmei Li (Comput. Electron. Agric., 2022)

Combining Sentinel-1 and -3 Imagery for Retrievals of Regional Multitemporal Biophysical Parameters Under a Deep Learning Framework. - Dong Han; Pengxin Wang; Kevin Tansey; Junming Liu; Yue Zhang; Shuyu Zhang 001; Hongmei Li (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Thermal Infrared Radiance Transfer Modeling of the Urban Landscape at Ultrahigh Spatial Resolution. - Xin Ye 001; Huazhong Ren; Pengxin Wang; Jinshun Zhu; Jian Zhu (IEEE Geosci. Remote. Sens. Lett., 2023)

Enhanced Feature Extraction From Assimilated VTCI and LAI With a Particle Filter for Wheat Yield Estimation Using Cross-Wavelet Transform. - Yue Zhang; Pengxin Wang; Kevin Tansey; Dong Han; Chi Chen; Junming Liu; Hongmei Li (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

A Modified Transfer-Learning-Based Approach for Retrieving Land Surface Temperature From Landsat-8 TIRS Data. - Xin Ye 001; Jian Hui; Pengxin Wang; Jian Zhu; Bin Yang 008 (IEEE Trans. Geosci. Remote. Sens., 2023)

A deep learning framework combining CNN and GRU for improving wheat yield estimates using time series remotely sensed multi-variables. - Jie Wang; Pengxin Wang; Huiren Tian; Kevin Tansey; Junming Liu; Wenting Quan (Comput. Electron. Agric., 2023)

A graph-based deep learning framework for field scale wheat yield estimation. - Dong Han; Pengxin Wang; Kevin Tansey; Yue Zhang; Hongmei Li (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Coupling of weather generator and crop model for enhanced low-temperature stress sample augmentation in Henan Province, PR China. - Jiameng Chen; Junming Liu; Zhirong Xia; Wei Su 003; Jianxi Huang; Pengxin Wang; Ying Li 048 (Comput. Electron. Agric., 2024)

A novel transformer-based neural network under model interpretability for improving wheat yield estimation using remotely sensed multi-variables. - Fengwei Guo; Pengxin Wang; Kevin Tansey; Yue Zhang; Mingqi Li; Junming Liu; Shuyu Zhang 001 (Comput. Electron. Agric., 2024)

Machine learning techniques and interpretability for maize yield estimation using Time-Series images of MODIS and Multi-Source data. - Yujiao Lyu; Pengxin Wang; Xueyuan Bai; Xuecao Li; Xin Ye; Yuchen Hu; Jie Zhang (Comput. Electron. Agric., 2024)

Urban LST Retrieval From the Ultrahigh Spatial Resolution Remote Sensing Data. - Xin Ye 001; Huazhong Ren; Pengxin Wang; Yanhong Duan; Jinshun Zhu (IEEE Geosci. Remote. Sens. Lett., 2024)

Comparison of Nighttime Land Surface Temperature Retrieval Using Mid-Infrared and Thermal Infrared Remote Sensing Data Under Different Atmospheric Water Vapor Conditions. - Xin Ye 001; Jinshun Zhu; Jian Zhu; Yanhong Duan; Pengxin Wang (IEEE Trans. Geosci. Remote. Sens., 2024)

Spatiotemporal Data Fusion of Index-Based VTCI Using Sentinel-2 and -3 Satellite Data for Field-Scale Drought Monitoring. - Yue Zhang; Pengxin Wang; Kevin Tansey; Mingqi Li; Fengwei Guo; Junming Liu; Shuyu Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Improved leaf area index reconstruction in heavily cloudy areas: A novel deep learning approach for SAR-Optical fusion integrating spatiotemporal features. - Mingqi Li; Pengxin Wang; Kevin Tansey; Fengwei Guo; Ji Zhou 001 (Int. J. Appl. Earth Obs. Geoinformation, 2025)

An interpretable wheat yield estimation model using an attention mechanism-based deep learning framework with multiple remotely sensed variables. - Mingqi Li; Pengxin Wang; Kevin Tansey; Yue Zhang; Fengwei Guo; Junming Liu; Hongmei Li (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Pixel-based agricultural drought forecasting based on deep learning approach: Considering the linear trend and residual feature of vegetation temperature condition index. - Fengwei Guo; Pengxin Wang; Kevin Tansey; Yuanfei Sun; Mingqi Li; Ji Zhou 001 (Comput. Electron. Agric., 2025)

Improved field-scale drought monitoring using MODIS and Sentinel-2 data for vegetation temperature condition index generation through a fusion framework. - Mingqi Li; Pengxin Wang; Kevin Tansey; Yuanfei Sun; Fengwei Guo; Ji Zhou 001 (Comput. Electron. Agric., 2025)

An interpretable approach combining Shapley additive explanations and LightGBM based on data augmentation for improving wheat yield estimates. - Ying Wang; Pengxin Wang; Kevin Tansey; Junming Liu; Bethany Delaney; Wenting Quan (Comput. Electron. Agric., 2025)

Enhancing Winter Wheat Yield Estimation With a CNN-Transformer Hybrid Framework Utilizing Multiple Remotely Sensed Parameters. - Jiangli Du; Yue Zhang; Pengxin Wang; Kevin Tansey; Junming Liu; Shuyu Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

A Knowledge-Guided Deep Learning Framework With Remotely Sensed Variables and Meteorological Variables for Improving Wheat Yield Estimation. - Huiren Tian; Pengxin Wang; Kevin Tansey; Shuyu Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Land Surface Temperature End-to-End Retrieval Considering the Topographic Effect Using Radiative Transfer Model-Driven Convolutional Neural Network. - Xin Ye 001; Pengxin Wang; Jian Zhu; Yanhong Duan; Bin Yang 008 (IEEE Trans. Geosci. Remote. Sens., 2025)