Environmental Biosurveillance for Epidemic Prediction: Experience with Rift Valley Fever. - Jean-Paul Chretien; Assaf Anyamba; Jennifer Small; Compton J. Tucker; Seth C. Britch; Kenneth J. Linthicum (BioSecure, 2008)

Monitoring Global Croplands with Coarse Resolution Earth Observations: The Global Agriculture Monitoring (GLAM) Project. - Inbal Becker-Reshef; Christopher Justice; Mark Sullivan; Eric F. Vermote; Compton J. Tucker; Assaf Anyamba; Jennifer Small; Edwin W. Pak; Edward J. Masuoka; Jeff Schmaltz; Matthew C. Hansen; Kyle Pittman; et al. (Remote. Sens., 2010)

Analysing the advantages of high temporal resolution geostationary MSG SEVIRI data compared to Polar Operational Environmental Satellite data for land surface monitoring in Africa. - Rasmus Fensholt; Assaf Anyamba; Silvia Huber; Simon Richard Proud; Compton J. Tucker; Jennifer Small; Ed Pak; Mads Olander Rasmussen; Inge Sandholt; Chris Shisanya (Int. J. Appl. Earth Obs. Geoinformation, 2011)

Remote Sensing Contributions to Prediction and Risk Assessment of Natural Disasters Caused by Large-Scale Rift Valley Fever Outbreaks. - Assaf Anyamba; Kenneth J. Linthicum; Jennifer Small; Seth C. Britch; Compton J. Tucker (Proc. IEEE, 2012)

Global Trends in Seasonality of Normalized Difference Vegetation Index (NDVI), 1982-2011. - J. Ronald Eastman; Florencia Sangermano; Elia Axinia Machado-Machado; John Rogan; Assaf Anyamba (Remote. Sens., 2013)

Thirty-two Years of Sahelian Zone Growing Season Non-Stationary NDVI3g Patterns and Trends. - Assaf Anyamba; Jennifer L. Small; Compton J. Tucker; Edwin W. Pak (Remote. Sens., 2014)

The Normalization of Surface Anisotropy Effects Present in SEVIRI Reflectances by Using the MODIS BRDF Method. - Simon Richard Proud; Qingling Zhang 002; Crystal Schaaf; Rasmus Fensholt; Mads Olander Rasmussen; Chris Shisanya; Wycliffe Mutero; Cheikh Mbow; Assaf Anyamba; Ed Pak; Inge Sandholt (IEEE Trans. Geosci. Remote. Sens., 2014)

Assessing biomass of diverse coastal marsh ecosystems using statistical and machine learning models. - Erin Glennie; Assaf Anyamba (Int. J. Appl. Earth Obs. Geoinformation, 2018)

Teleconnections and Interannual Transitions as Observed in African Vegetation: 2015-2017. - Assaf Anyamba; Erin Glennie; Jennifer Small (Remote. Sens., 2018)

Reaching Broad Audiences from a Large Agency Setting. - Helen-Nicole Kostis; Miguel O. Roman; Virginia L. Kalb; Eleanor C. Stokes; Ranjay M. Shrestha; Zhuosen Wang; Lori Schultz; Qingsong Sun; Jordan R. Bell; Andrew L. Molthan; Ryan Boller; Assaf Anyamba (Foundations of Data Visualization, 2020)

Scraping Unstructured Data to Explore the Relationship between Rainfall Anomalies and Vector-Borne Disease Outbreaks. - Ethan Joseph; Thilanka Munasinghe; Heidi Tubbs; Bhaskar Bishnoi; Assaf Anyamba (IEEE BigData, 2021)

USA Crop Yield Estimation with MODIS NDVI: Are Remotely Sensed Models Better than Simple Trend Analyses? - David M. Johnson 002; Arthur Rosales; Richard M. Mueller; Curt Reynolds; Ronald Frantz; Assaf Anyamba; Ed Pak; Compton Tucker (Remote. Sens., 2021)

Predicting Crimean-Congo Hemorrhagic Fever Outbreaks via Multivariate Time-Series Classification of Climate Data. - Jonathan Harris; Thilanka Munasinghe; Heidi Tubbs; Assaf Anyamba (ICMHI, 2022)

From Satellites to Fields: Machine Learning Applications for Prediction of Corn Production Using NDVI, Precipitation and Land Surface Temperature for Large Producer Countries. - Saniya Nangia; Thilanka Munasinghe; Heidi Tubbs; Assaf Anyamba (IEEE Big Data, 2023)

Integrating Climate Variable Data in Machine Learning Models for Predictive Analytics of Tomato Yields in California. - Tianze Zhu; Junyi Wu; Tingyi Tan; Shuheng Wang; Thilanka Munasinghe; Heidi Tubbs; Assaf Anyamba (IEEE Big Data, 2023)