Land Surface Temperature End-to-End Retrieval Considering the Topographic Effect Using Radiative Transfer Model-Driven Convolutional Neural Network.

Enhancing Winter Wheat Yield Estimation With a CNN-Transformer Hybrid Framework Utilizing Multiple Remotely Sensed Parameters.

An interpretable approach combining Shapley additive explanations and LightGBM based on data augmentation for improving wheat yield estimates.

Improved field-scale drought monitoring using MODIS and Sentinel-2 data for vegetation temperature condition index generation through a fusion framework.

Pixel-based agricultural drought forecasting based on deep learning approach: Considering the linear trend and residual feature of vegetation temperature condition index.

An interpretable wheat yield estimation model using an attention mechanism-based deep learning framework with multiple remotely sensed variables.

Spatiotemporal Data Fusion of Index-Based VTCI Using Sentinel-2 and -3 Satellite Data for Field-Scale Drought Monitoring.

Comparison of Nighttime Land Surface Temperature Retrieval Using Mid-Infrared and Thermal Infrared Remote Sensing Data Under Different Atmospheric Water Vapor Conditions.

Urban LST Retrieval From the Ultrahigh Spatial Resolution Remote Sensing Data.

Machine learning techniques and interpretability for maize yield estimation using Time-Series images of MODIS and Multi-Source data.

A novel transformer-based neural network under model interpretability for improving wheat yield estimation using remotely sensed multi-variables.

Coupling of weather generator and crop model for enhanced low-temperature stress sample augmentation in Henan Province, PR China.

A graph-based deep learning framework for field scale wheat yield estimation.

A deep learning framework combining CNN and GRU for improving wheat yield estimates using time series remotely sensed multi-variables.

A Modified Transfer-Learning-Based Approach for Retrieving Land Surface Temperature From Landsat-8 TIRS Data.

Enhanced Feature Extraction From Assimilated VTCI and LAI With a Particle Filter for Wheat Yield Estimation Using Cross-Wavelet Transform.

Thermal Infrared Radiance Transfer Modeling of the Urban Landscape at Ultrahigh Spatial Resolution.

Combining Sentinel-1 and -3 Imagery for Retrievals of Regional Multitemporal Biophysical Parameters Under a Deep Learning Framework.

Improving wheat yield estimates using data augmentation models and remotely sensed biophysical indices within deep neural networks in the Guanzhong Plain, PR China.

Integrating an attention-based deep learning framework and the SAFY-V model for winter wheat yield estimation using time series SAR and optical data.

A High-Stability Diagnosis Model Based on a Multiscale Feature Fusion Convolutional Neural Network.

Improving Wheat Yield Estimates by Integrating a Remotely Sensed Drought Monitoring Index Into the Simple Algorithm for Yield Estimate Model.

A deep learning framework under attention mechanism for wheat yield estimation using remotely sensed indices in the Guanzhong Plain, PR China.

An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network.

Drought Monitoring Using the Sentinel-3-Based Multiyear Vegetation Temperature Condition Index in the Guanzhong Plain, China.

Developing a fused vegetation temperature condition index for drought monitoring at field scales using Sentinel-2 and MODIS imagery.

Reconstruction of time series leaf area index for improving wheat yield estimates at field scales by fusion of Sentinel-2, -3 and MODIS imagery.

Monitoring maize growth on the North China Plain using a hybrid genetic algorithm-based back-propagation neural network model.

An IPSO-BP neural network for estimating wheat yield using two remotely sensed variables in the Guanzhong Plain, PR China.

Linking an agro-meteorological model and a water cloud model for estimating soil water content over wheat fields.

Monitoring maize growth conditions by training a BP neural network with remotely sensed vegetation temperature condition index and leaf area index.

A Novel Feature Enhancement Method Based on Improved Constraint Model of Online Dictionary Learning.

Developing an integrated indicator for monitoring maize growth condition using remotely sensed vegetation temperature condition index and leaf area index.

Mapping MODIS LST NDVI Imagery for Drought Monitoring in Punjab Pakistan.

Assimilation of Leaf Area Index and Surface Soil Moisture With the CERES-Wheat Model for Winter Wheat Yield Estimation Using a Particle Filter Algorithm.

An Up-Scaled Vegetation Temperature Condition Index Retrieved From Landsat Data with Trend Surface Analysis.

Drought Forecasting with Vegetation Temperature Condition Index Using ARIMA Models in the Guanzhong Plain.

Drought forecasting based on the remote sensing data using ARIMA models.