Remote Sens. 2014, 6, 3101-3122; doi:10.3390/rs6043101 OPEN ACCESS remote sensing ISSN 2072-4292 www.mdpi.com/journal/remotesensing Article Thirty-two Years of Sahelian Zone Growing Season Non-Stationary NDVI3g Patterns and Trends Assaf Anyamba *, Jennifer L. Small, Compton J. Tucker and Edwin W. Pak GIMMS Group, Biospheric Sciences Laboratory, Code 618.0, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA; E-Mails:
[email protected] (J.L.S.);
[email protected] (C.J.T.);
[email protected] (E.W.P.) * Author to whom correspondence should be addressed; E-Mail:
[email protected]; Tel.: +1-301-614-6601; Fax: +1-301-614-6699. Received: 16 January 2014; in revised form: 22 March 2014 / Accepted: 26 March 2014 / Published: 4 April 2014 Abstract: We update the Global Inventory Modeling and Mapping Studies (GIMMS) analysis of Sahelian vegetation dynamics and trends using the normalized difference vegetation index (NDVI; version 3g) 1981 to 2012 data set. We compare the annual NDIV3g and July to October growing season averages with the three rainfall data sets: the Africa Rainfall Climatology from 1983 to 2012, the Variability Analyses of Surface Climate Observations Version-1.1 from 1951 to 2000, and the Nicholson ground-station precipitation rainfall data from 1981 to 1994. We use the Nicholson ground-station annual precipitation data to determine the reliability of the two continental precipitation data sets for specific locations and specific times, extrapolate these confirmed relationships over the Sahelian Zone from 1983 to 2012 with the Africa Rainfall Climatology, and then place these zonal findings within the 1951 to 2000 record of the Variability Analyses of Surface Climate Observations Version-1.1 precipitation data set.