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Assaf Anyamba, Associate Research Scientist


GEST Research Group:

Hydrospheric and Biospheric Sciences Laboratory

GSFC Code:

614.4

Mailing Address:

Hydrological and Biospheric Sciences
Building 33, Room F124
NASA GSFC, Code 614.4
Greenbelt, MD 20771 USA

Assaf Anyamba

Phone:

(301) 614-6601

Fax:

(301) 614-6015

Email:

Asaph.Anyamba-1@nasa.gov

URL:

http://gimms.gsfc.nasa.gov/

Most Recent Publications:

Anyamba, A., J-P. Chretien, J. Small, C. J. Tucker, P. B. Formenty, J. H. Richardson, S.C. Britch, D.C. Schnabel, R. L. Erickson, and K. J. Linthicum (2009), Prediction of a Rift Valley fever outbreak, PNAS, 106, No. 3, Jan 20, 2009, 955-959.

Britch S.C., K. J. Linthicum, A. Anyamba, et al. (2008), Satellite vegetation index data as a tool to forecast population dynamics of medically important mosquitoes at military installations in the continental United States, Military Medicine, 173, 7, 677-683.

Research Interests:

Analysis of time series satellite vegetation index measurements from various satellite instruments including Moderate-Resolution Imaging Spectroradiometer (MODIS), SPOT Vegetation, and NOAA's Advanced Very High Resolution Radiometer (AVHRR). Focus on land surface response to interannual climate variability associated El Niño/Southern Oscillation (ENSO), drought pattern analysis, inferred long-term trends and dynamics of vegetation patterns and links between climate variability and vector-borne disease outbreaks.

Biography:

Dr. Assaf Anyamba is an associate research scientist with the Goddard Earth Sciences Technology Center/University of Maryland-Baltimore County (GEST/UMBC) at NASA's Goddard Space Flight Center and an Adjunct Associate Professor with the Earth Systems Science Interdisciplinary Center (ESSIC) at University if Maryland, College Park.. He received his undergraduate degree from Kenyatta University, Nairobi, Kenya in Geography and Economics (1989) and a Masters degree in Geography from Ohio University, Athens (1992). He received his Ph.D. (1997) in Geography with focus on Remote Sensing of Land Surface Patterns of ENSO from Clark University, Worcester, MA. His research interests are in the extraction of interannual climate variability signals from remotely sensed vegetation measurements, drought pattern analysis, applications of remotely sensed data in agricultural monitoring, drought & famine early warning and the links between climate variability and disease outbreaks. His current work supports research and development for the United States Department of Agriculture/Foreign Agricultural Service - Office of Global Analysis, Unites States Agency for International Development - Famine Early Earning Systems Network, Department of Defense Global Emerging Infections Surveillance and Response System and the Unites States Department of Agriculture - Center for Medical, Agricultural & Veterinary Entomology.