Relationship between urban heat island and population density of districts in Ho Chi Minh City derived from Sentinel - 3 SLSTR data

  • Ha Thu Thi Le Hanoi University of Mining and Geology, Hanoi, Vietnam
  • Trung Van Nguyen Hanoi University of Mining and Geology, Hanoi, Vietnam
  • Khoa Ngoc Nguyen Can Tho Environment and Natural Resources Department, Can Tho, Vietnam
  • Phuong Dang Nguyen Can Tho Environment and Natural Resources Department, Can Tho, Vietnam
  • Tuyet Thi Vo Ninh Kieu land registration office, Can Tho, Vietnam
  • Tho Giang Nguyen Lam Dong Irrigation - traffic Construction Joint Stock Company, Lam Dong, Vietnam
  • Tung Van Pham Ho Chi Minh City University of Natural Resources and Environment, Ho Chi Minh City, Vietnam
  • Dinh Van Le Hanoi University of Mining and Geology, Hanoi, Vietnam
Keywords: Ho Chi Minh City, Population density, Sentinel - 3 SLSTR, Urban heat island

Abstract

The urban heat island occurs due to the causes of the urbanization process, of which the main reason is an increase in population density leading to the changes in artificial objects on the ground surface. Recently, using the Split - Window algorithm for two thermal infrared spectral channels with wavelengths of 11 µm and 12 µm to calculate the daily surface temperature with two times of day and night serves to determine the change of land surface temperature. This method is intended to improve the reliability of the results and high technical efficiency. This study uses Sentinel - 3 SLSTR data to determine urban heat island in the districts of Ho Chi Minh City compared to areas bordering the city on May 15th 2020. In addition, population density is calculated according to the results of the census in 2020. The linear relationship between the urban heat island and population density was built with the coefficient of determination R2=0.64.

References

Brian S. Jr., & Michael O. R., (2001). Urban Form and Thermal Efficiency: How the Design of Cities Influences the Urban Heat Island Effect. Journal of the American Planning Association 67(2), 186 - 198.

Claudia, K., Stefan, D., (2013). Thermal Infrared Remote Sensing: Sensors, Methods, Applications. Remote Sensing and Digital Image Processing.

Ha Thu Thi Le, Trung Van Nguyen, Lan Thi Pham, Le Thi Le, Huong Thuy Duong, Long Huu Nguyen, (2018). Impact of urbanization on land surface temperature using remote sensing and GIS: A case of Tay Ho district, Hanoi city, Vietnam. Journal of Mining and Earth Sciences, 59 (6), 64-73.

Hassan Rhinane, Atika Hilali, Hicham Bahi, Aziza Berrada, (2012). Contribution of Landsat TM Data for the Detection of Urban Heat Islands Areas Case of Casablanca. Journal of Geographic Information System, 4(1). 

Jiajia Y., Ji Z., Frank - Michael G., Zhiyong L., Jin M., Ren L., (2020). Investigation and validation of algorithms for estimating land surface temperature from Sentinel - 3 SLSTR data. International Journal of Applied Earth Observation and Geoinformation 91, 14 pages.

“Khí hậu, thời tiết”. Website Thành phố Hồ Chí Minh. Lưu trữ bản gốc ngày 25 tháng 5 năm 2009. Truy cập ngày 22 tháng 5 năm 2014. https://hochiminhcity.gov.vn/-/khi-hau-thoi-tiet.

Le Thi Thu Ha, Nguyen Van Trung, Pham Thi Lan, Tong Thi Huyen Ai, La Phu Hien, (2021). Impacts of Urban Land Cover Change on Land Surface Temperature Distribution in Ho Chi Minh City, Vietnam. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, 39(2), 13-21.

Lê Thị Thu Hà, Đoàn Đắc Nhất, Huỳnh Thị Lam, Nguyễn Thị Thanh Thúy, Nguyễn Thị Ngọc Hiệp, Lưu Thị Thanh Thủy, Võ Thị Công Chính, Lê Thanh Nghị, (2020). Đánh giá vai trò của cơ cấu lớp phủ bề mặt đô thị trong việc giảm hiệu ứng đảo nhiệt đô thị áp dụng cho khu vực Thành phố Hồ Chí Minh, Việt Nam. Tạp chí Khoa học kỹ thuật Mỏ - Địa chất, 61 (2), 76-85.

McClave, J. T., and Sincich, T., (2000). Simple linear regression in Statistics, 8th edition, Prentice - Hall, USA, 505 - 557

Prata, A. J., (1994). Land surface temperature determination from satellites, Advances in space research, 14, 15 - 26.

Serco Italia SPA (2018). Urban heat island with Sentinel - 3. (version 1.1). Retrieved from RUS Lectures at https://ruscopernicus.eu/portal/ the - rus - library/learn - by - yourself/

Sobrino, J. A., Irakulis, I. A., (2020). Methodology for Comparing the Surface Urban Heat Island in Selected Urban Agglomerations Around the World from Sentinel - 3 SLSTR Data. Remote Sensing 12, 29 pages.

Thảo Nguyên, (2017). Chuyên trang Tri thức trẻ. http://ttvn.toquoc.vn/kinh-doanh/chu-tich-nguyen-thanh-phong-du-bao-dan-so-tp-ho-chi -minh-den-nam-2025-la-10-trieu-nguoi-nhung -nay-da-dat-13-trieu-nguoi-5201717811412441.htm.

The European Space Agency, (2021). Sentinel-3 SLSTR resolutions.

Tổng cục Thống kê, (2019). Kết quả tổng điều tra dân số và nhà ở thời điểm 0 giờ ngày 1.4.2019. 

Theo Chỉ thị số 44/CT - TTg của Thủ tướng Chính phủ.

University of Leicester/NILU, (2012). SLSTR ATBD land surface temperature. Sentinel - 3 optical products and algorithm definition, 55 pages.

Zhang, Z.; Ji, M.; Shu, J.; Deng, Z.; Wu, Y., (2008). Surface Urban Heat Island in Shanghai, China: Examining the Relationship between Land Surface Temperature and Impervious Surface Fractions Derived from Landsat ETM+ imagery. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci., 37, 601-606. 

Zheng, Y., Ren, H., Guo, J., Ghent, D., Tansey, K., Hu, X., Nie, J., Chen, S., (2019). Land Surface Temperature Retrieval from Sentinel - 3A Sea and Land Surface Temperature Radiometer, Using a Split - Window Algorithm. Remote Sensing 11, 650.

Published
2021-10-31
Issue
2021: Vol 62, Issue 5
Section
Applied sciences