GEST - Goddard Earth Science and Technology Center
 home about GEST directory administrative staff sponsor resources faculty resources student opportunities
employment opportunities research groups science highlights events media site map

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

Most Recent Publication

Britch SC, Linthicum KJ, Anyamba A, 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:

The primary goal of the Global Inventory Modeling and Mapping Studies (GIMMS) group at GSFC is to produce, provide and analyze scientific Earth systems research quality time series vegetation index measurements from a variety of satellite instruments including the Advanced Very High Resolution Radiometer (1981- present), the Systeme Probatoire pour l'Observation de la Terre - Vegetation (1998 - present) and the Moderate Resolution Imaging Spectroradiometer (2000 - present).

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. 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 and disease outbreaks. His current work supports research and develUSDA/FAS-PECAD and USAID/FEWNET, DoD-GEIS and USDA/CMAVE Programs.