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Remote sensing study of the temperature profile over Penang Island using Nasa Giovanni system
Kamal Fiqre Md Kamaludin1, Mohd Muzafa Jumidali2, Fath?nul Naj?b Ahmad Sa’ad3, Abd Rahman Mat Amin4.
NASA GIOVANNI is an advanced technology of remote sensing system. It is
able to provide with Earth Science information within only a few minutes.
The focus of this study is to obtain a reliable information via NASA
GIOVANNI regarding the temperature trend in Penang Island, Malaysia,
from year 2016 to 2018 and to verify the validity and reliability of the data
obtained from NASA GIOVANNI and therefore being able to replace with
the conventional method of using AccuWeather. From the system, MODIS
Aqua is selected as it is the most suitable satellite among others to capture
the temperature reading at the desired area. The data obtained from
AccuWeather are mostly accurate and clear even though there are several
limitations regarding the parameter involved as it is quite general.
Meanwhile the temperature data obtained from NASA GIOVANNI are more
specific and detailed as it consists of several parameters. For example, NASA
GIOVANNI can access the sea surface and land surface temperature for the
desired location. Apart from that, NASA GIOVANNI also able to separate
between daytime and nighttime temperature data. After obtaining both data
from NASA GIOVANNI and AccuWeather, an effective comparison is made
via cross validation or to be exact, linear regression. From the graph of
linear regression, R-Squared value can be calculated and hence can
determine the correlation of both data. From the R-Squared calculations, the
values calculated are 0.75 for year 2016, 0.65 for year 2017 and 0.71 for
year 2018. According to the R-Squared value, it is concluded that the
temperature data from NASA GIOVANNI is having a positive and strong
correlation with AccuWeather as the values are exceeding 0.5 for each year.
Therefore, the temperature data via NASA GIOVANNI is possible to be
obtained and that the obtained temperature data are almost as accurate as
AccuWeather.
Affiliation:
- Universiti Teknologi MARA Cawangan Pulau Pinang, Malaysia
- Universiti Teknologi MARA Cawangan Pulau Pinang, Malaysia
- Universiti Teknologi MARA Shah Alam, Malaysia
- Universiti Teknologi MARA Cawangan Terengganu, Malaysia
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