do
RAE I
id
se
nd
all
vy
od
ex
illustrated the correlation of albedo value with respect to the
nebulosity index. It shows positive relationship as the albedo
value increased as the index increased.
Monthly Average of Min and Max Albedo
(Nebulosity Index) 2000-2009
03
"n - «0.2 P 6
0.23 xoc a
0.2
2 : $ min
EAD
= WB max
01 3
— Linear {min}
01€ 0.0073
085 Y" e 2 2.30 3 ——— Linear (max)
0 ; EXP ipd
0 93 0.2 0.3 0.4 05 9.5 07
Nebulosity Index
Figure 7. Nebulosity Index and Albedo Trend
In March of 2000 until 2009, the variations of albedo show
minimum value of 0.00006 and maximum albedo at 0.3506.
April, on the other hands showed not much different being the
same cloud condition as March, where the minimum albedo is
at 0.00006 and maximum is 0.33448. In September the albedo
patterns reveals slight changes in term of its maximum value
where the albedo value range from 0.00006 — 0.3284 and
albedo pattern is December shows the albedo value ranging
from 0.001 — 0.35606 for being the darkest and coldest month
in the year.
The 5 years interval trend analyses results shows some
contradictory behaviour of albedo with NI, thus further
clarification is require verifying this condition. The following
graphes show the variation of relationship of average albedo in
2000, 2005 and 2009.
2009
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=
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o 0.05 O1 0.15 0.2 0.25 0.3 0.35
Albedo
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Albedo
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Albedo
Figure 8. The 5 year Interval Average Trend Analyses
While AOD on the other hand, giving negative relationship as
the AOD effects the albedo value contradictory. When the
AOD is low then the albedo value is high. The linear trend can
be seen in Figure 9.
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia
Monthly Average of Min and Max Albedo (AOD)
2000-2009
%
Wc H0 7 3e 0974cLg 2813
Ri» 0.3625
* Nax
E Min
Lnear{Max)
Linear {Min}
Ys
o 0.1 0.2 03 04 as 0.6
AOD
Figure 9. AOD and Albedo Trend
4. CONCLUSION AND RECOMMENDATION
The yearly analyses show the impact of land use and land cover
changes with respect to the yearly average albedo in Malaysia.
While the monsoon analyses recognized the albedo behavior
and its pattem changes with respect to our local climate
condition and subsequently it’s dynamic towards our weather
parameters. The pattern changes of albedo with respects to the
nebulosity index indicate that there are external factors that
implicate the albedo values. Thus, further study need to be
conducted in order to gain an insight towards the relationship
land surface albedo with the other variables such as property of
surface reflectance (land use and land cover).
ACKNOWLEDGEMENT
The authors would like to express our gratitude to the MOSTI
for funding this project under Fundamental Research Grant
Scheme (FRGS) (600-RMI/SSP/FRGS/5/3Fsp (90/2010).
MODIS (MCD43A3) these data are distributed by the Land
Processes Distributed Active Archive Center (LP DAAC),
located at the U.S. Geological Survey (USGS) Earth Resources
Observation and Science (EROS) Center (Ipdaac.usgs.gov).
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