Mr. Syahril Mawari Profile

Syahril Mawari

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 29 January 2024 Paper

Analysis of the effect of distance from the beach and elevation on surface urban heat island in Makassar city and its surroundings

Agil Fahrezi, Syahril Mawari

Proceedings Volume 12977, 129770L (2024) https://doi.org/10.1117/12.3009324

KEYWORDS: Landsat, Image processing, Statistical analysis, Infrared sensors, Clouds, Data modeling, Spatial resolution, Sensors, Remote sensing, Climate change

Read Abstract +

The effects of global warming are shown by increasing temperatures in various regions, especially urban areas. Urbanization and urban development is one of the factors in increasing ground surface temperature (SPT). SPT is the main indicator of Surface Urban Heat Island (SUHI) effect. SUHI can be quantified into a standard value by utilizing the Urban Thermal Variance Index (UTFVI). The effect of SUHI in urban areas close to the coast is usually influenced by the aspects of elevation and distance from the sea. Through this research, the relationship between the aspects of elevation, distance from sea level, and the SUHI effect based on UTFVI values is then studied to see the relationship. The area studied in this research is the Makassar City area and the districts bordering the Makassar City administration. The relationship between these variables was analyzed by applying the global regression method, Ordinary Least Square (OLS). The UTFVI value variable in this study acts as the dependent variable, while the elevation and distance values act as independent variables. The results of the OLS analysis show that the distance and elevation variables have a simultaneous influence on the UTFVI variable with a regression coefficient of 70.98%. These two effects show a negative influence, where the greater the elevation and distance values, the lower the UTFVI value.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years