Zhengwei Yang

Orcid: 0000-0002-6532-2663

Affiliations:
  • U.S. Department of Agriculture (USDA), National Agricultural Statistics Service, Washington, DC, USA
  • Drexel University, Philadelphia, PA, USA (PhD 1997)


According to our database1, Zhengwei Yang authored at least 59 papers between 1992 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
VegGAN: A Generative Adversarial Network for Downscaling JPSS/VIIRS Vegetation Indices.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

2024
Automated In-Season Crop-Type Data Layer Mapping Without Ground Truth for the Conterminous United States Based on Multisource Satellite Imagery.
IEEE Trans. Geosci. Remote. Sens., 2024

County Level Crop Yield Prediction Using Smap Derived Data Products and Deep Learning Model.
Proceedings of the IGARSS 2024, 2024

Cloud-Powered Agricultural Mapping: A Revolution Toward 10m Resolution Cropland Data Layers.
Proceedings of the IGARSS 2024, 2024

Innovative Crop Mapping in Hawaii: The First 10Meter Resolution Cropland Data Layers for 2023.
Proceedings of the 12th International Conference on Agro-Geoinformatics, 2024

2023
Cyberinformatics tool for in-season crop-specific land cover monitoring: Design, implementation, and applications of iCrop.
Comput. Electron. Agric., October, 2023

Improving the Transferability of Deep Learning Models for Crop Yield Prediction: A Partial Domain Adaptation Approach.
Remote. Sens., September, 2023

Study on the Quantitative Precipitation Estimation of X-Band Dual-Polarization Phased Array Radar from Specific Differential Phase.
Remote. Sens., January, 2023

Multisource Maximum Predictor Discrepancy for Unsupervised Domain Adaptation on Corn Yield Prediction.
IEEE Trans. Geosci. Remote. Sens., 2023

Toward Field Level Drought and Irrigation Monitoring Using Machine Learning Based High-Resolution Soil Moisture (ML-HRSM) Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Enhancing USDA NASS Cropland Data Layer with Segment Anything Model.
Proceedings of the 11th International Conference on Agro-Geoinformatics, 2023

2022
Thermal Hydraulic Disaggregation of SMAP Soil Moisture Over the Continental United States.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Crop-CASMA: A web geoprocessing and map service based architecture and implementation for serving soil moisture and crop vegetation condition data over U.S. Cropland.
Int. J. Appl. Earth Obs. Geoinformation, 2022

2021
Improving Time-Efficiency of Variational Specific Differential Phase Estimation.
IEEE Trans. Geosci. Remote. Sens., 2021

Assessing Disaggregated SMAP Soil Moisture Products in the United States.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Spatiotemporal Changes of Winter Wheat Planted and Harvested Areas, Photosynthesis and Grain Production in the Contiguous United States from 2008-2018.
Remote. Sens., 2021

An adaptive adversarial domain adaptation approach for corn yield prediction.
Comput. Electron. Agric., 2021

Rapid in-season mapping of corn and soybeans using machine-learned trusted pixels from Cropland Data Layer.
Int. J. Appl. Earth Obs. Geoinformation, 2021

Applying Machine Learning to Cropland Data Layer for Agro-Geoinformation Discovery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Crop-CASMA - A Web GIS Tool for Cropland Soil Moisture Monitoring and Assessment Based on SMAP Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

An Overview of Agriculture Cyberinformatics Tools to Support USDA NASS Decision Making.
Proceedings of the 9th International Conference on Agro-Geoinformatics, 2021

2020
AgKit4EE: A toolkit for agricultural land use modeling of the conterminous United States based on Google Earth Engine.
Environ. Model. Softw., 2020

2019
Crop Growth Condition Assessment at County Scale Based on Heat-Aligned Growth Stages.
Remote. Sens., 2019

Microphysical Characteristics of Three Convective Events with Intense Rainfall Observed by Polarimetric Radar and Disdrometer in Eastern China.
Remote. Sens., 2019

Impact of Non-Proportional Training Sampling of Imbalanced Classes on Land Cover Classification Accuracy with See5 Decision Tree.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Early Season Winter Wheat Identification Using Sentinel -1 Synthetic Aperture Radar (Sar) and Optical Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Cloud Environment for Disseminating NASS Cropland Data Layer.
Proceedings of the 8th International Conference on Agro-Geoinformatics, 2019

2018
Real-Time Monitoring of Crop Phenology in the Midwestern United States Using VIIRS Observations.
Remote. Sens., 2018

Operational Agricultural Flood Monitoring with Sentinel-1 Synthetic Aperture Radar.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Evaluation of Sentinel-1A C-Band Synthetic Aperture Radar for Citrus CROP Classification in Florida, United States.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Guest Editorial Foreword to the Special Issue on Agro-Geoinformatics: Monitoring, Prediction, and Decision Support.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

SMAP DATA for cropland soil moisture assessment - A case study.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Evaluating the impact of training data pixel level buffering on area sampling frame stratification results and crop estimates.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Agriculture flood mapping with Soil Moisture Active Passive (SMAP) data: A case of 2016 Louisiana flood.
Proceedings of the 2017 6th International Conference on Agro-Geoinformatics, 2017

Extract flood duration from Dartmouth Flood Observatory flood product.
Proceedings of the 2017 6th International Conference on Agro-Geoinformatics, 2017

2016
Preface: Recent Advances in Remote Sensing for Crop Growth Monitoring.
Remote. Sens., 2016

Evaluation of assimilated SMOS Soil Moisture data for US cropland Soil Moisture monitoring.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Web service-based SMAP soil moisture data visualization, dissemination and analytics based on vegscape framwork.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Post stratification assessment of the NASS automated stratification method based on the Cropland Data Layer.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Remote sensing based crop growth stage estimation model.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

A novel method for area frame stratification based on geospatial crop planting frequency data layers.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Enhancing Agricultural Geospatial Data Dissemination and Applications Using Geospatial Web Services.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

Foreword to the Special issue on Agro-Geoinformatics - The Applications of Geoinformatics in Agriculture.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

A New Automatic Stratification Method for U.S. Agricultural Area Sampling Frame Construction Based on the Cropland Data Layer.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

Implementation of a new automatic stratification method using geospatial cropland data layers in NASS area frame construction.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013
Web service-based vegetation condition monitoring system - VegScape.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

US national cropland soil moisture monitoring using SMAP.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Deriving crop specific covariate data sets from multi-year NASS geospatial cropland data layers.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

2012
Deriving 2011 cultivated land cover data sets using usda National Agricultural Statistics Service historic Cropland Data Layers.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
Vegetation condition indices for crop vegetation condition monitoring.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Evaluation of Temporal Resolution Effect in Remote Sensing Based Crop Phenology Detection Studies.
Proceedings of the Computer and Computing Technologies in Agriculture V, 2011

2009
Web Service based Architecture for US National Crop Progress Monitoring System.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

A Comparison of Vegetation Indices for Corn and Soybean Vegetation Condition Monitoring.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

Spatial-spectral cross correlation for reliable multispectral image registration.
Proceedings of the 2009 IEEE Applied Imagery Pattern Recognition Workshop, 2009

1999
Image registration and object recognition using affine invariants and convex hulls.
IEEE Trans. Image Process., 1999

Cross-Weighted Moments and Affine Invariants for Image Registration and Matching.
IEEE Trans. Pattern Anal. Mach. Intell., 1999

1998
Automatic matching of homologous histological sections.
IEEE Trans. Biomed. Eng., 1998

1995
Invariant matching and identification of curves using B-splines curve representation.
IEEE Trans. Image Process., 1995

1992
Curve recognition using B-spline representation.
Proceedings of First IEEE Workshop on Applications of Computer Vision, 1992


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