Assaf Anyamba

Orcid: 0000-0003-0932-9585

According to our database1, Assaf Anyamba authored at least 15 papers between 2008 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
Integrating Climate Variable Data in Machine Learning Models for Predictive Analytics of Tomato Yields in California.
Proceedings of the IEEE International Conference on Big Data, 2023

From Satellites to Fields: Machine Learning Applications for Prediction of Corn Production Using NDVI, Precipitation and Land Surface Temperature for Large Producer Countries.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Predicting Crimean-Congo Hemorrhagic Fever Outbreaks via Multivariate Time-Series Classification of Climate Data.
Proceedings of the 6th International Conference on Medical and Health Informatics, 2022

2021
USA Crop Yield Estimation with MODIS NDVI: Are Remotely Sensed Models Better than Simple Trend Analyses?
Remote. Sens., 2021

Scraping Unstructured Data to Explore the Relationship between Rainfall Anomalies and Vector-Borne Disease Outbreaks.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Reaching Broad Audiences from a Large Agency Setting.
Proceedings of the Foundations of Data Visualization., 2020

2018
Teleconnections and Interannual Transitions as Observed in African Vegetation: 2015-2017.
Remote. Sens., 2018

Assessing biomass of diverse coastal marsh ecosystems using statistical and machine learning models.
Int. J. Appl. Earth Obs. Geoinformation, 2018

2014
The Normalization of Surface Anisotropy Effects Present in SEVIRI Reflectances by Using the MODIS BRDF Method.
IEEE Trans. Geosci. Remote. Sens., 2014

Thirty-two Years of Sahelian Zone Growing Season Non-Stationary NDVI3g Patterns and Trends.
Remote. Sens., 2014

2013
Global Trends in Seasonality of Normalized Difference Vegetation Index (NDVI), 1982-2011.
Remote. Sens., 2013

2012
Remote Sensing Contributions to Prediction and Risk Assessment of Natural Disasters Caused by Large-Scale Rift Valley Fever Outbreaks.
Proc. IEEE, 2012

2011
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, 2011

2010
Monitoring Global Croplands with Coarse Resolution Earth Observations: The Global Agriculture Monitoring (GLAM) Project.
Remote. Sens., 2010

2008
Environmental Biosurveillance for Epidemic Prediction: Experience with Rift Valley Fever.
Proceedings of the Biosurveillance and Biosecurity, International Workshop, 2008


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