Paper Info
Title
Monitoring System for Assessment of Vegetation Sensitivity to El-Niño over Africa
Abstract
The study investigated vulnerability of vegetation to El-Nino Southern Oscillation (ENSO) over Africa by correlating Normalized Difference Vegetation Index (NDVI) data from the Advanced Very High Resolution Radiometer (AVHRR) and two ENSO indices, namely Multivariate ENSO Index (MEI) and Southern Oscillation Index (SOI). The study developed a new monitoring approach (ENSO vulnerability assessment system) that examined and quantified associations between monthly maximum NDVI anomalies and month-to-month correlations with the ENSO indices over the vegetated land areas of Africa throughout the period from 1982 to 2006 at the pixel scale. This system was engaged for an assessment of the long-time vegetation sensitivity to ENSO warm events occurred during the study period. A map of vegetation vulnerability to ENSO was produced. Areas with various vulnerability degrees were measured within main vegetation cover classes. The results suggested that the vulnerability of vegetated tropical land surfaces to climate extremes like EL Nino depends considerably on vegetation type. In particular, it could be shown that equatorial forest areas are more reliable to drought stress than other wooded and non-wooded vegetation categories.
Year
DOI
Venue
2009
10.1007/978-3-642-00318-9_17
ADVANCES IN GISCIENCE
Keywords
Field
DocType
el nino,vulnerability assessment,southern oscillation index,normalized difference vegetation index,indexation
Vegetation,Systems engineering,Vulnerability assessment,Computer science,Multivariate ENSO index,Vegetation type,Advanced very-high-resolution radiometer,Normalized Difference Vegetation Index,Enhanced vegetation index,Climatology,Vulnerability
Conference
ISSN
Citations 
PageRank 
1863-2246
0
0.34
References 
Authors
2
2
Name
Order
Citations
PageRank
Pavel Propastin1427.13
remote sensing2252.04