Analysis of Sahelian vegetation dynamics using NOAA-AVHRR NDVI data from 1981–2003

Fifty years of landscape evolution in Southwestern Mauritania by means of aerial photos

“…Changes in precipitation were identified as the primary driver of the greening trend of the Sahel vegetation and its interannual variability between 1982 and 1998 (Hickler et al, 2005), although Anyamba and Tucker (2005) emphasize that the NDVI time series commenced ARTICLE IN PRESS during a historically intense drought (the early 1980s) and that the recent gradual recovery has likely not returned vegetation to pre-drought conditions of the 1950s and 1960s. However, the resilience of vegetation to rainfall is not evident everywhere and the idea of ''greening Sahel'' has been challenged by some authors (Hiernaux and Turner, 2002;Hountondji et al, 2006;Ozer and Ozer, 2005).…”

Estimating determinism rates to detect patterns in geospatial datasets

“…In this work, the proposed approach was applied to two geospatial datasets, the Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Mahecha, Frst, Gobron, & Lange, 2010) and Rainfall Mahecha et al, 2010), which have been widely studied in remote sensing literature (Anyamba & Tucker, 2005;De Kauwe, Disney, Quaife, Lewis, & Williams, 2011;Fensholt, Sandholt, & Rasmussen, 2004;Rowhani et al, 2011). Results confirm that our approach allows the extraction of relevant patterns and the association of stochastic and deterministic regions present in these datasets, even when they are characterized by different dynamics.…”

“…The Sahel is a prototypical example (Anyamba & Tucker, 2005;Gonzalez, Tucker, & Sy, 2012;Heumann, Seaquist, Eklundh, & Jonsson, 2007). Sahel is a semi-arid region that represents a transition zone between the Sahara desert and the humid tropical savanna and it is located in the north of the African continent.…”

“…Sahel is a semi-arid region that represents a transition zone between the Sahara desert and the humid tropical savanna and it is located in the north of the African continent. However, the precise geographic location of the Sahel is difficult to distinguish because its physical characteristics change over time and space (Anyamba & Tucker, 2005). Automated analyses such as performed here may serve as a means to delineate the boundaries based on patterns of vegetation dynamics, creating the possibility of monitoring the progress of the region over time.…”

Evaluation of long-term vegetation trends for northeastern of Iraq: Mosul, Kirkuk and Salah al-Din

“…Concerning drought management, decision-makers require data should be available and accessible for use in short period of time and need to be updated on the latest drought situation. NDVI time series proved to be most significant predictor of soil quality (by measured change in productivity with deviation from long-term mean); either as an index (Bai, et al, 2008 andAnyamba andTucker, 2005) or as one input to dynamic vegetation models (Fensholt, et al, 2006andHengl, et al, 2002.…”