|
|
|
Contact Us||
About Us
|
|
|
 |
|
|
|
|
|

August 2012 Vol. 1 Issue
3
Other viewing option
Abstract
•
Full text
•Reprint
(PDF) (485 KB)
Search Pubmed for articles by:
Dakata FAG
Yelwa SA
Other links:
PubMed Citation
Related articles in PubMed
|
|
Global Advanced
Research Journal of Social Science (GARJSS)
August 2012 Vol. 1(3),
pp. 059-064
Copyright © 2012 Global Advanced
Research Journals
Full Length
Research Paper
|
An Assessment of mean and inter-seasonal variation
during growing season across Kano region, Nigeria
using normalized difference vegetation index derived
from SPOT satellite data
Fatima. A. G. Dakata1 and Sadiq A. Yelwa2*
1Department
of Geography, Kano University of Science and
Technology, P.M.B.3244 Wudil, Nigeria
2Department
of Geography, Usmanu Danfodiyo University,
P.M.B.2346 Sokoto
*Corresponding author E-mail:
bubakar9@yahoo.co.uk; Tel: (+234) 8035074239,
(+234) 8020616742
Accepted 27 July, 2012
|
|
Abstract |
|
Kano Region covers
Kano and Jigawa states both located in a semi-arid
area of Nigeria that is characterised by large
inter-annual variability in precipitation and
consequently its vegetation. The aim of this
assessment is to highlight changes in the mean and
inter-seasonal variation of these variables that
affected the general landcover of this area using
Remote Sensing and GIS techniques. Fifty four (54)
dekadal Normalized Difference vegetation Index (NDVI)
images at 1km resolution from SPOT-4 and 5 Satellite
System covering the growing season years from 1999
to 2007 were utilised within a GIS environment. Both
the mean and a co-efficient of variation (COV)
images covering the time series were derived from
the assessment. Purposive sampling technique was
also used to correlate the 2007 imagery to landcover
reality through groundtruthing. The generated COV
imagery was classified into seven classes showing
percentage changes across the study area. Areas that
exhibit highest coefficient of variation were found
to be located within Jigawa state with few of such
areas in Kano state. Although these changes during
the growing season are attributed to anthprogenic
factors in this semi-arid area, they are to a
certain degree also attributed to climatic affects,
particularly the changes on land cover across these
two states in Nigeria.
Keywords:
Dekadal, NDVI, Inter-seasonal variability, Growing
season, Coefficient of Variation.
|
| |
|
|
|