United States Department of Agriculture

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Journal Articles

Title/Author(s)	Year
VegGAN: A Generative Adversarial Network for Downscaling JPSS/VIIRS Vegetation Indices (Yifan Yang, Haonan Chen, Changyong Cao, Zhengwei Yang, Qi Chen, Zhe Li, Rick Mueller, and Noa K. Lincoln)	2025
Robust and timely within-season conterminous United States crop type mapping using Landsat Sentinel-2 time series and the transformer architecture (Hankui K. Zhang, Yu Shen, Xiaoyang Zhang, Junjie Li, Zhengwei Yang, Yijia Xu, Chen Zhang, Liping Di, David P. Roy)	2025
Learning county from pixels: corn yield prediction with attention-weighted multiple instance learning (Wang, X., Ma, Y., Xu, Y., Huang, Q., Yang, Z., and Zhang, Z)	2025
A multimodal deep learning approach for soil moisture downscaling using remote sensing and weather data (Xu, Y., Cai, S., Huang, J., Liu, J., Shang, J.,Yang, Z., and Zhang, Z)	2025
Automated in-season crop-type data layer mapping without ground truth for the Conterminous United States based on multisource satellite imagery (Hui Li, M.D.; Liping Di; Chen Zhang; Li Lin; Liying Guo; Eugene G. Yu; Zhengwei Yang)	2024
A Machine Learning-Based High-Resolution Soil Moisture Mapping and Spatial–Temporal Analysis: The mlhrsm Package (Yuliang Peng, Zhengwei Yang, Jingyi Huang, Zhou Zhang)	2024
Cloud-Powered Agricultural Mapping: A Revolution Toward 10m Resolution Cropland Data Layers (Z. Li, R. Mueller, Z. Yang, D. Johnson and P. Willis)	2024
Empirical Inferences Under Bayesian Framework to Identify Cellwise Outliers (Luca Sartore, Lu Chen, Valbona Bejleri)	2024
Identifying Anomalous Data Entries in Repeated Surveys (Luca Sartore, Lu Chen, Justin van Wart, Andrew Dau, Valbona Bejleri)	2024
Crop Sequence Boundaries Using USDA National Agricultural Statistics Service Historic Cropland Data Layers (Kevin A. Hunt, Jake Abernethy, Peter C. Beeson, Maria Bowman, Steven Wallander, Ryan Williams)	2024
Data Reconciliation and Estimation in an Agricultural Survey (Habtamu K. Benecha, Denise A. Abreu, Rachael Jennings, Linda J. Young)	2023
An Assessment of Crop-Specific Land Cover Predictions Using High-Order Markov Chains and Deep Neural Networks (Luca Sartore, Claire Boryan, Andrew Dau, Patrick Willis)	2023
Preseason Crop Type Prediction Using Crop Sequence Boundaries (Jonathon Abernethy, Peter Beeson, Claire Boryan, Kevin Hunt, Luca Sartore)	2023
Multisource Maximum Predictor Discrepancy for Unsupervised Domain Adaptation on Corn Yield Prediction (Ma, Yuchi, Zhengwei Yang, Zhou Zhang)	2023
Assessing Machine Leaning Algorithms on Crop Yield Forecasts Using Functional Covariates Derived from Remotely Sensed Data (Luca Sartore, Arthur N. Rosales, David M. Johnson, Clifford H. Spiegelman)	2022
Capture-Recapture Estimation of Characteristics of U.S. Local Food Farms Using a Web-Scraped List Frame (Michael Hyman, Luca Satore, Linda J. Young)	2022
Using Small Area Estimation to Produce Official Statistics (Linda J. Young, Lu Chen)	2022
Smoothing County-Level Sampling Variances to Improve Small Area Models’ Outputs (Lu Chen, Luca Sartore, Habtamu Benecha, Valbona Bejleri, Balgobin Nandram)	2022
Hierarchical Bayesian Model with Inequality Constraints for US County Estimates (Lu Chen, Balgobin Nandram, Nathan B. Cruze)	2022
Model-Based Estimates for Farm Labor Quantities (Lu Chen, Nathan B. Cruze, Linda J. Young)	2022
Modeling Swine Population Dynamics at a Finer Temporal Resolution (Luca Sartore, Yijun Wei, Emilola Abayomi, Seth Riggins, Gavin Corral, Valbona Bejleri, Clifford Spiegelman)	2020
NASS Geospatial Applications from the Cropland Data Layer. (Sandborn, A., R. Mueller, C. Boryan, D. Johnson, Z. Yang, L. Ebinger, A. Rosales, P. Willis, R. Seffrin, R. Jennings, M. Deaton, and H. Hamer)	2019
Early Season Winter Wheat Identification Using Sentinel -1 Synthetic Aperture Radar (SAR) and Optical Data (Boryan, C., Z. Yang, P. Willis, and A. Sandborn)	2019
Impact of Non-Proportional Training Sampling of Imbalanced Classes on Land Cover Classification Accuracy With See5 Decision Tree (Yang, Z. and C. Boryan)	2019
Fusion of Moderate Resolution Earth Observations for Operational Crop Type Mapping. (Torbick, N.; X. Huang, B. Ziniti, D. Johnson, J. Masek, and M. Reba)	2018
Developing Integer Calibration Weights for Census of Agriculture (Luca Sartore, Kelly Toppin, Linda Young, Clifford Spiegelman)	2018
Real-time Monitoring of Crop Phenology in the Midwestern United States using VIIRS Observations. (Liu, L., X. Zhang, Y. Yu, F. Gao, and Z. Yang)	2018
Operational Agricultural Flood Monitoring With Sentinel-1 Synthetic Aperture Radar (Boryan, C., Z. Yang, A. Sandborn, P. Willis, and B. Haack)	2018
Evaluation of Sentinel-1A C-Band Synthetic Aperature Radar for Citrus Crop Classification in Florida, United States (Boryan, C., Z. Yang, and B. Haack)	2018
The USDA NASS Cropland Data Layer Program Transition from Research to Operations (2006-2009) (Boryan, C.)	2018
Assessing the Variability of Corn and Soybean Yields in Central Iowa Using High Spatiotemporal Resolution Multi-Satellite Imagery (Gao, F., M. Anderson, C.Daughtry, and D. Johnson)	2018
Integration of the Cropland Data Layer Based Automatic Stratification Method into the Traditional Area Frame Construction Process (Boryan, C., and Z. Yang)	2017
Measuring land-use and land-cover change using the U.S. department of agriculture’s cropland data layer: Cautions and recommendations (Lark, T., Mueller, R., Johnson, D., and H. Gibbs)	2017
Developing Crop Specific Area Frame Stratifications based on Geospatial Crop Frequency and Cultivation Data Layers (Boryan, C., Z. Yang, P. Willis, and L. Di)	2017
Assessing the evolution of soil moisture and vegetation conditions during the 2012 United States flash drought (Otkin, J., M. Anderson, C. Hain, M. Svobodad, D. Johnson, R. Mueller, T. Tadesse, B. Wardlow, J. Brown)	2016
A comprehensive assessment of the correlations between field crop yields and commonly used MODIS products (Johnson, D.)	2016
The role of remote sensing for regional monitoring of U.S. crop condition and yield, Evaluation of drought and drought impacts through interdisciplinary methods (Johnson, D.)	2015
The utility of the Cropland Data Layer for monitoring US grassland extent (Johnson, D., R. Mueller, and P. Willis)	2015
Assessing bioenergy-driven agricultural land use change and biomass quantities with MODIS time series in the U.S. Midwest (Wang, C., C. Zhong, and Z. Yang)	2014
Making Cropland Data Layer Data Accessible and Actionable in GIS Education (Han, W., Z. Yang, L. Di, A. Yagci, and S. Han)	2014
A Geospatial Web Service Approach For Creating On-Demand Cropland Data Layer Thematic Maps (Han, W., Z. Yang, L. Di, and P. Yue)	2014
A Literature Review of Crop Area Estimation" Food and Agriculture Organization (Craig, Michael and Dale Atkinson)	2013
Reported Uses of CropScape and the National Cropland Data Layer Program (Mueller R., and J. Harris)	2013
Evaluating the Accuracy Assessment Methods of a Thematic Raster through SAS Resampling Techniques and GTL Visualizations (Seffrin, R.)	2013
Exploring Continuous Corn Cropping Patterns and Their Relationship with Geographic Factors (Yang, Z.)	2013
US National Cropland Soil Moisture Monitoring Using SMAP (Yang, Z., R. Mueller, and W. Crowe)	2013
An Innovative Approach to Integrating SAS Macros with GIS Software Products to Produce County-Level Accuracy Assessments (Zakzeski, A., and R. Seffrin)	2013
CropScape: A Web service based application for exploring and disseminating US conterminous geospatial cropland data products for decision support. (Han, W., Z. Yang, L. Di, and R. Mueller)	2012
Monitoring US Agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program (Boryan, C., Z. Yang, R. Mueller, and M. Craig)	2011
Phenology-Based Assessment of Perennial Energy Crops in North American Tallgrass Prairie (Wang, C., F. Fritschib, G. Staceyc and Z. Yang)	2011
The 2009 Cropland Data Layer (Johnson, D., and R. Mueller)	2010
Area Frame Design for Agricultural Surveys (Jim Cotter, Carrie Davies, Jack Nealon, Ray Roberts)	2010