INTRA-URBAN HEAT ISLAND DETECTION AND TREND CHARACTERIZATION IN METRO MANILA USING SURFACE TEMPERATURES DERIVED FROM MULTI-TEMPORAL LANDSAT DATA
Unprecedented urbanization in Metro Manila has led to the proliferation of the urban heat island (UHI) effect. This is characterized by a prominent difference in the temperatures of the urban and its surrounding rural and less urbanized areas. Temperature differences occur within these UHI’s indicat...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2019-12-01
|
Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W19/275/2019/isprs-archives-XLII-4-W19-275-2019.pdf |
_version_ | 1818016159191007232 |
---|---|
author | K. P. Landicho A. C. Blanco A. C. Blanco |
author_facet | K. P. Landicho A. C. Blanco A. C. Blanco |
author_sort | K. P. Landicho |
collection | DOAJ |
description | Unprecedented urbanization in Metro Manila has led to the proliferation of the urban heat island (UHI) effect. This is characterized by a prominent difference in the temperatures of the urban and its surrounding rural and less urbanized areas. Temperature differences occur within these UHI’s indicating the existence of intra-urban heat islands (IUHI). UHI’s and IUHI’s are well-documented indicators of urban environmental degradation and therefore puts the population of Metro Manila at risk. In anticipation of these effects, their detection and the characterization of their behaviour through time can contribute to proper urban planning thus mitigating harmful effects. Google Earth Engine was used to retrieve land surface temperatures (LST) from Landsat data from 1997 to 2019 using emissivity estimation. The Local Moran’s I statistic was then used to identify cluster and outlier types (COT). A histogram with 10 bins representing the net COT frequencies per barangay was then used to identify IUHI’s. Annual temperature measurements and COT areas were plotted against time and based on linear-fit trend lines they characterize the study area as to having an annual increase in temperature of roughly 0.18 °C and hotspot area extent of around 0.03 km<sup>2</sup>, and a decrease in coldspot area extent around 0.01 km<sup>2</sup>. Hotspots were found to be frequent in the cities of Caloocan, Manila, Pasay, and Quezon while coldspots were found to be frequent in the cities of Caloocan, Las Piñas, Malabon, Navotas, and Valenzuela. In conclusion, IUHI’s were detected with statistical basis, both spatially and temporally. |
first_indexed | 2024-04-14T07:08:17Z |
format | Article |
id | doaj.art-810c70c8e67d46049364a955a4904772 |
institution | Directory Open Access Journal |
issn | 1682-1750 2194-9034 |
language | English |
last_indexed | 2024-04-14T07:08:17Z |
publishDate | 2019-12-01 |
publisher | Copernicus Publications |
record_format | Article |
series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
spelling | doaj.art-810c70c8e67d46049364a955a49047722022-12-22T02:06:31ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342019-12-01XLII-4-W1927528210.5194/isprs-archives-XLII-4-W19-275-2019INTRA-URBAN HEAT ISLAND DETECTION AND TREND CHARACTERIZATION IN METRO MANILA USING SURFACE TEMPERATURES DERIVED FROM MULTI-TEMPORAL LANDSAT DATAK. P. Landicho0A. C. Blanco1A. C. Blanco2Training Center for Applied Geodesy and Photogrammetry, University of the Philippines Diliman, Quezon City 1101, PhilippinesTraining Center for Applied Geodesy and Photogrammetry, University of the Philippines Diliman, Quezon City 1101, PhilippinesDepartment of Geodetic Engineering, University of the Philippines Diliman, Quezon City 1101, PhilippinesUnprecedented urbanization in Metro Manila has led to the proliferation of the urban heat island (UHI) effect. This is characterized by a prominent difference in the temperatures of the urban and its surrounding rural and less urbanized areas. Temperature differences occur within these UHI’s indicating the existence of intra-urban heat islands (IUHI). UHI’s and IUHI’s are well-documented indicators of urban environmental degradation and therefore puts the population of Metro Manila at risk. In anticipation of these effects, their detection and the characterization of their behaviour through time can contribute to proper urban planning thus mitigating harmful effects. Google Earth Engine was used to retrieve land surface temperatures (LST) from Landsat data from 1997 to 2019 using emissivity estimation. The Local Moran’s I statistic was then used to identify cluster and outlier types (COT). A histogram with 10 bins representing the net COT frequencies per barangay was then used to identify IUHI’s. Annual temperature measurements and COT areas were plotted against time and based on linear-fit trend lines they characterize the study area as to having an annual increase in temperature of roughly 0.18 °C and hotspot area extent of around 0.03 km<sup>2</sup>, and a decrease in coldspot area extent around 0.01 km<sup>2</sup>. Hotspots were found to be frequent in the cities of Caloocan, Manila, Pasay, and Quezon while coldspots were found to be frequent in the cities of Caloocan, Las Piñas, Malabon, Navotas, and Valenzuela. In conclusion, IUHI’s were detected with statistical basis, both spatially and temporally.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W19/275/2019/isprs-archives-XLII-4-W19-275-2019.pdf |
spellingShingle | K. P. Landicho A. C. Blanco A. C. Blanco INTRA-URBAN HEAT ISLAND DETECTION AND TREND CHARACTERIZATION IN METRO MANILA USING SURFACE TEMPERATURES DERIVED FROM MULTI-TEMPORAL LANDSAT DATA The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
title | INTRA-URBAN HEAT ISLAND DETECTION AND TREND CHARACTERIZATION IN METRO MANILA USING SURFACE TEMPERATURES DERIVED FROM MULTI-TEMPORAL LANDSAT DATA |
title_full | INTRA-URBAN HEAT ISLAND DETECTION AND TREND CHARACTERIZATION IN METRO MANILA USING SURFACE TEMPERATURES DERIVED FROM MULTI-TEMPORAL LANDSAT DATA |
title_fullStr | INTRA-URBAN HEAT ISLAND DETECTION AND TREND CHARACTERIZATION IN METRO MANILA USING SURFACE TEMPERATURES DERIVED FROM MULTI-TEMPORAL LANDSAT DATA |
title_full_unstemmed | INTRA-URBAN HEAT ISLAND DETECTION AND TREND CHARACTERIZATION IN METRO MANILA USING SURFACE TEMPERATURES DERIVED FROM MULTI-TEMPORAL LANDSAT DATA |
title_short | INTRA-URBAN HEAT ISLAND DETECTION AND TREND CHARACTERIZATION IN METRO MANILA USING SURFACE TEMPERATURES DERIVED FROM MULTI-TEMPORAL LANDSAT DATA |
title_sort | intra urban heat island detection and trend characterization in metro manila using surface temperatures derived from multi temporal landsat data |
url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W19/275/2019/isprs-archives-XLII-4-W19-275-2019.pdf |
work_keys_str_mv | AT kplandicho intraurbanheatislanddetectionandtrendcharacterizationinmetromanilausingsurfacetemperaturesderivedfrommultitemporallandsatdata AT acblanco intraurbanheatislanddetectionandtrendcharacterizationinmetromanilausingsurfacetemperaturesderivedfrommultitemporallandsatdata AT acblanco intraurbanheatislanddetectionandtrendcharacterizationinmetromanilausingsurfacetemperaturesderivedfrommultitemporallandsatdata |