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Assaf Anyamba
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2020 – today
- 2023
- [c5]Saniya Nangia, Thilanka Munasinghe, Heidi Tubbs, Assaf Anyamba:
From Satellites to Fields: Machine Learning Applications for Prediction of Corn Production Using NDVI, Precipitation and Land Surface Temperature for Large Producer Countries. IEEE Big Data 2023: 3479-3488 - [c4]Tianze Zhu, Junyi Wu, Tingyi Tan, Shuheng Wang, Thilanka Munasinghe, Heidi Tubbs, Assaf Anyamba:
Integrating Climate Variable Data in Machine Learning Models for Predictive Analytics of Tomato Yields in California. IEEE Big Data 2023: 3538-3546 - 2022
- [c3]Jonathan Harris, Thilanka Munasinghe, Heidi Tubbs, Assaf Anyamba:
Predicting Crimean-Congo Hemorrhagic Fever Outbreaks via Multivariate Time-Series Classification of Climate Data. ICMHI 2022: 215-218 - 2021
- [j9]David M. Johnson, Arthur Rosales, Richard M. Mueller, Curt Reynolds, Ronald Frantz, Assaf Anyamba, Ed Pak, Compton Tucker:
USA Crop Yield Estimation with MODIS NDVI: Are Remotely Sensed Models Better than Simple Trend Analyses? Remote. Sens. 13(21): 4227 (2021) - [c2]Ethan Joseph, Thilanka Munasinghe, Heidi Tubbs, Bhaskar Bishnoi, Assaf Anyamba:
Scraping Unstructured Data to Explore the Relationship between Rainfall Anomalies and Vector-Borne Disease Outbreaks. IEEE BigData 2021: 4156-4164 - 2020
- [p1]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:
Reaching Broad Audiences from a Large Agency Setting. Foundations of Data Visualization 2020: 319-340
2010 – 2019
- 2018
- [j8]Erin Glennie, Assaf Anyamba:
Assessing biomass of diverse coastal marsh ecosystems using statistical and machine learning models. Int. J. Appl. Earth Obs. Geoinformation 68: 180-188 (2018) - [j7]Assaf Anyamba, Erin Glennie, Jennifer Small:
Teleconnections and Interannual Transitions as Observed in African Vegetation: 2015-2017. Remote. Sens. 10(7): 1038 (2018) - 2014
- [j6]Assaf Anyamba, Jennifer L. Small, Compton J. Tucker, Edwin W. Pak:
Thirty-two Years of Sahelian Zone Growing Season Non-Stationary NDVI3g Patterns and Trends. Remote. Sens. 6(4): 3101-3122 (2014) - [j5]Simon Richard Proud, Qingling Zhang, Crystal Schaaf, Rasmus Fensholt, Mads Olander Rasmussen, Chris Shisanya, Wycliffe Mutero, Cheikh Mbow, Assaf Anyamba, Ed Pak, Inge Sandholt:
The Normalization of Surface Anisotropy Effects Present in SEVIRI Reflectances by Using the MODIS BRDF Method. IEEE Trans. Geosci. Remote. Sens. 52(10): 6026-6039 (2014) - 2013
- [j4]J. Ronald Eastman, Florencia Sangermano, Elia Axinia Machado-Machado, John Rogan, Assaf Anyamba:
Global Trends in Seasonality of Normalized Difference Vegetation Index (NDVI), 1982-2011. Remote. Sens. 5(10): 4799-4818 (2013) - 2012
- [j3]Assaf Anyamba, Kenneth J. Linthicum, Jennifer Small, Seth C. Britch, Compton J. Tucker:
Remote Sensing Contributions to Prediction and Risk Assessment of Natural Disasters Caused by Large-Scale Rift Valley Fever Outbreaks. Proc. IEEE 100(10): 2824-2834 (2012) - 2011
- [j2]Rasmus Fensholt, Assaf Anyamba, Silvia Huber, Simon Richard Proud, Compton J. Tucker, Jennifer Small, Ed Pak, Mads Olander Rasmussen, Inge Sandholt, Chris Shisanya:
Analysing the advantages of high temporal resolution geostationary MSG SEVIRI data compared to Polar Operational Environmental Satellite data for land surface monitoring in Africa. Int. J. Appl. Earth Obs. Geoinformation 13(5): 721-729 (2011) - 2010
- [j1]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, Charon Birkett, Derrick Williams, Curt Reynolds, Bradley Doorn:
Monitoring Global Croplands with Coarse Resolution Earth Observations: The Global Agriculture Monitoring (GLAM) Project. Remote. Sens. 2(6): 1589-1609 (2010)
2000 – 2009
- 2008
- [c1]Jean-Paul Chretien, Assaf Anyamba, Jennifer Small, Compton J. Tucker, Seth C. Britch, Kenneth J. Linthicum:
Environmental Biosurveillance for Epidemic Prediction: Experience with Rift Valley Fever. BioSecure 2008: 169-174
Coauthor Index
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