SPATIO-TEMPORAL ANALYSIS OF URBAN HEAT ISLAND IN MANDAUE CITY, PHILIPPINES
Extensive urbanization alters the natural landscape as vegetation were replaced with infrastructures composed of materials with low albedo and high heat capacity often resulting to increase in land surface temperatures (LST). The present study focused on the spatial and temporal variations of LST in...
| 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-W19/361/2019/isprs-archives-XLII-4-W19-361-2019.pdf |
| _version_ | 1818923323871985664 |
|---|---|
| author | A. M. Rejuso A. C. Cortes A. C. Blanco A. C. Blanco C. A. Cruz J. B. Babaan |
| author_facet | A. M. Rejuso A. C. Cortes A. C. Blanco A. C. Blanco C. A. Cruz J. B. Babaan |
| author_sort | A. M. Rejuso |
| collection | DOAJ |
| description | Extensive urbanization alters the natural landscape as vegetation were replaced with infrastructures composed of materials with low albedo and high heat capacity often resulting to increase in land surface temperatures (LST). The present study focused on the spatial and temporal variations of LST in Mandaue City, one of the metropolitan cities in the Philippines that had undergone a rapid rate of urbanization over the past years. Climate Engine (CE), a cloud computing tool that processes satellite images, was used in this study. Preprocessed LST, normalized difference water index (NDWI), normalized difference vegetation index (NDVI), shortwave infrared (SWIR 1) and near-infrared (NIR) layers were directly downloaded from CE while the normalized difference built-up index (NDBI) maps were calculated. Time-series dataset of these indices were analyzed to determine the impacts of reduced vegetation cover and increased built-up areas on surface temperature from years 2013 to 2019. The spatial distribution of LST were analyzed using Univariate Local Moran’s I in GeoDa to identify hotspots within the city. Analysis results showed that the hotspots are barangays Tipolo (100%), Bakilid (100%), Ibabao-Estancia (93.5%), Alang-Alang (87.2%), Guizo (84.4%), Subangdaku (84.1%), and Centro (79.4%). The results indicated that there is a linear relationship between LST and NDBI (<i>r</i> = 0.659, <i>p</i> < 0.01) while an inverse relationship was observed between LST with NDVI (<i>r</i> = −0.527, <i>p</i> < 0.1) and NDWI (<i>r</i> = −0.620, <i>p</i> < 0.01). |
| first_indexed | 2024-12-20T02:07:37Z |
| format | Article |
| id | doaj.art-2e732234197e406c991a2b6d71bc3087 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-20T02:07:37Z |
| 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-2e732234197e406c991a2b6d71bc30872022-12-21T19:57:09ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342019-12-01XLII-4-W1936136710.5194/isprs-archives-XLII-4-W19-361-2019SPATIO-TEMPORAL ANALYSIS OF URBAN HEAT ISLAND IN MANDAUE CITY, PHILIPPINESA. M. Rejuso0A. C. Cortes1A. C. Blanco2A. C. Blanco3C. A. Cruz4J. B. Babaan5UP Training Center for Applied Geodesy and Photogrammetry, College of Engineering, University of the Philippines, Diliman, Quezon City 1101, PhilippinesDepartment of Biology and Environmental Science, College of Science University of the Philippines Cebu, Cebu City, PhilippinesUP Training Center for Applied Geodesy and Photogrammetry, College of Engineering, University of the Philippines, Diliman, Quezon City 1101, PhilippinesDepartment of Geodetic Engineering, University of the Philippines, Diliman, Quezon City, PhilippinesUP Training Center for Applied Geodesy and Photogrammetry, College of Engineering, University of the Philippines, Diliman, Quezon City 1101, PhilippinesUP Training Center for Applied Geodesy and Photogrammetry, College of Engineering, University of the Philippines, Diliman, Quezon City 1101, PhilippinesExtensive urbanization alters the natural landscape as vegetation were replaced with infrastructures composed of materials with low albedo and high heat capacity often resulting to increase in land surface temperatures (LST). The present study focused on the spatial and temporal variations of LST in Mandaue City, one of the metropolitan cities in the Philippines that had undergone a rapid rate of urbanization over the past years. Climate Engine (CE), a cloud computing tool that processes satellite images, was used in this study. Preprocessed LST, normalized difference water index (NDWI), normalized difference vegetation index (NDVI), shortwave infrared (SWIR 1) and near-infrared (NIR) layers were directly downloaded from CE while the normalized difference built-up index (NDBI) maps were calculated. Time-series dataset of these indices were analyzed to determine the impacts of reduced vegetation cover and increased built-up areas on surface temperature from years 2013 to 2019. The spatial distribution of LST were analyzed using Univariate Local Moran’s I in GeoDa to identify hotspots within the city. Analysis results showed that the hotspots are barangays Tipolo (100%), Bakilid (100%), Ibabao-Estancia (93.5%), Alang-Alang (87.2%), Guizo (84.4%), Subangdaku (84.1%), and Centro (79.4%). The results indicated that there is a linear relationship between LST and NDBI (<i>r</i> = 0.659, <i>p</i> < 0.01) while an inverse relationship was observed between LST with NDVI (<i>r</i> = −0.527, <i>p</i> < 0.1) and NDWI (<i>r</i> = −0.620, <i>p</i> < 0.01).https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W19/361/2019/isprs-archives-XLII-4-W19-361-2019.pdf |
| spellingShingle | A. M. Rejuso A. C. Cortes A. C. Blanco A. C. Blanco C. A. Cruz J. B. Babaan SPATIO-TEMPORAL ANALYSIS OF URBAN HEAT ISLAND IN MANDAUE CITY, PHILIPPINES The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | SPATIO-TEMPORAL ANALYSIS OF URBAN HEAT ISLAND IN MANDAUE CITY, PHILIPPINES |
| title_full | SPATIO-TEMPORAL ANALYSIS OF URBAN HEAT ISLAND IN MANDAUE CITY, PHILIPPINES |
| title_fullStr | SPATIO-TEMPORAL ANALYSIS OF URBAN HEAT ISLAND IN MANDAUE CITY, PHILIPPINES |
| title_full_unstemmed | SPATIO-TEMPORAL ANALYSIS OF URBAN HEAT ISLAND IN MANDAUE CITY, PHILIPPINES |
| title_short | SPATIO-TEMPORAL ANALYSIS OF URBAN HEAT ISLAND IN MANDAUE CITY, PHILIPPINES |
| title_sort | spatio temporal analysis of urban heat island in mandaue city philippines |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W19/361/2019/isprs-archives-XLII-4-W19-361-2019.pdf |
| work_keys_str_mv | AT amrejuso spatiotemporalanalysisofurbanheatislandinmandauecityphilippines AT accortes spatiotemporalanalysisofurbanheatislandinmandauecityphilippines AT acblanco spatiotemporalanalysisofurbanheatislandinmandauecityphilippines AT acblanco spatiotemporalanalysisofurbanheatislandinmandauecityphilippines AT cacruz spatiotemporalanalysisofurbanheatislandinmandauecityphilippines AT jbbabaan spatiotemporalanalysisofurbanheatislandinmandauecityphilippines |