Pengxin Wang
Orcid: 0000-0002-2655-6731
According to our database1,
Pengxin Wang
authored at least 42 papers
between 2003 and 2024.
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Bibliography
2024
Spatiotemporal Data Fusion of Index-Based VTCI Using Sentinel-2 and -3 Satellite Data for Field-Scale Drought Monitoring.
IEEE Trans. Geosci. Remote. Sens., 2024
Comparison of Nighttime Land Surface Temperature Retrieval Using Mid-Infrared and Thermal Infrared Remote Sensing Data Under Different Atmospheric Water Vapor Conditions.
IEEE Trans. Geosci. Remote. Sens., 2024
IEEE Geosci. Remote. Sens. Lett., 2024
Machine learning techniques and interpretability for maize yield estimation using Time-Series images of MODIS and Multi-Source data.
Comput. Electron. Agric., 2024
A novel transformer-based neural network under model interpretability for improving wheat yield estimation using remotely sensed multi-variables.
Comput. Electron. Agric., 2024
Coupling of weather generator and crop model for enhanced low-temperature stress sample augmentation in Henan Province, PR China.
Comput. Electron. Agric., 2024
Int. J. Appl. Earth Obs. Geoinformation, 2024
2023
A deep learning framework combining CNN and GRU for improving wheat yield estimates using time series remotely sensed multi-variables.
Comput. Electron. Agric., March, 2023
A Modified Transfer-Learning-Based Approach for Retrieving Land Surface Temperature From Landsat-8 TIRS Data.
IEEE Trans. Geosci. Remote. Sens., 2023
Enhanced Feature Extraction From Assimilated VTCI and LAI With a Particle Filter for Wheat Yield Estimation Using Cross-Wavelet Transform.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
Thermal Infrared Radiance Transfer Modeling of the Urban Landscape at Ultrahigh Spatial Resolution.
IEEE Geosci. Remote. Sens. Lett., 2023
2022
Combining Sentinel-1 and -3 Imagery for Retrievals of Regional Multitemporal Biophysical Parameters Under a Deep Learning Framework.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Improving wheat yield estimates using data augmentation models and remotely sensed biophysical indices within deep neural networks in the Guanzhong Plain, PR China.
Comput. Electron. Agric., 2022
Integrating an attention-based deep learning framework and the SAFY-V model for winter wheat yield estimation using time series SAR and optical data.
Comput. Electron. Agric., 2022
2021
A High-Stability Diagnosis Model Based on a Multiscale Feature Fusion Convolutional Neural Network.
IEEE Trans. Instrum. Meas., 2021
Improving Wheat Yield Estimates by Integrating a Remotely Sensed Drought Monitoring Index Into the Simple Algorithm for Yield Estimate Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
A deep learning framework under attention mechanism for wheat yield estimation using remotely sensed indices in the Guanzhong Plain, PR China.
Int. J. Appl. Earth Obs. Geoinformation, 2021
2020
An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network.
IEEE Trans. Instrum. Meas., 2020
Drought Monitoring Using the Sentinel-3-Based Multiyear Vegetation Temperature Condition Index in the Guanzhong Plain, China.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
Developing a fused vegetation temperature condition index for drought monitoring at field scales using Sentinel-2 and MODIS imagery.
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.
Comput. Electron. Agric., 2020
Monitoring maize growth on the North China Plain using a hybrid genetic algorithm-based back-propagation neural network model.
Comput. Electron. Agric., 2020
An IPSO-BP neural network for estimating wheat yield using two remotely sensed variables in the Guanzhong Plain, PR China.
Comput. Electron. Agric., 2020
Linking an agro-meteorological model and a water cloud model for estimating soil water content over wheat fields.
Comput. Electron. Agric., 2020
2019
Monitoring maize growth conditions by training a BP neural network with remotely sensed vegetation temperature condition index and leaf area index.
Comput. Electron. Agric., 2019
A Novel Feature Enhancement Method Based on Improved Constraint Model of Online Dictionary Learning.
IEEE Access, 2019
2018
Developing an integrated indicator for monitoring maize growth condition using remotely sensed vegetation temperature condition index and leaf area index.
Comput. Electron. Agric., 2018
IEEE Access, 2018
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.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017
An Up-Scaled Vegetation Temperature Condition Index Retrieved From Landsat Data with Trend Surface Analysis.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017
2016
Drought Forecasting with Vegetation Temperature Condition Index Using ARIMA Models in the Guanzhong Plain.
Remote. Sens., 2016
2012
Application of the ARIMA Models in Drought Forecasting Using the Standardized Precipitation Index.
Proceedings of the Computer and Computing Technologies in Agriculture VI, 2012
2010
Math. Comput. Model., 2010
2008
Proceedings of the Computer and Computing Technologies in Agriculture II, Volume 1, 2008
2007
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007
2004
Using crop simulation model to study the time lag between precipitation and NDVI and its effect on NDVI based agricultural applications.
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004
Soil thermal inertia estimation by combining afternoon and morning AVHRR data with a modified diurnal land surface temperature change model.
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004
A study on thermal inertia approach for agricultural drought monitoring in Shaanxi Province, China by using NOAA/AVHRR data.
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004
2003
Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003
Correlation analysis between hyperspectral feature and foliage water content in the growth period of winter wheat.
Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003
Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003
Using the NDVI contribution ratio at different growth stages to estimate winter wheat yield.
Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003