SPATIOTEMPORAL MULTI-SATELLITE BIOPHYSICAL DATA ANALYSIS OF THE EFFECT OF URBANIZATION ON LAND SURFACE AND AIR TEMPERATURE IN BAGUIO CITY, PHILIPPINES
Urbanization can be observed through the occurrence of land-use changes as more land is being transformed and developed for urban use. One of the Philippine cities with high rate of urbanization is Baguio City, known for having a subtropical highland climate. To understand the spatiotemporal relatio...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2019-12-01
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| 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-W19/47/2019/isprs-archives-XLII-4-W19-47-2019.pdf |
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| author | A. Baloloy R. R. Sta. Ana J. A. Cruz A. C. Blanco A. C. Blanco N. V. Lubrica C. J. Valdez E. P. Cajucom |
| author_facet | A. Baloloy R. R. Sta. Ana J. A. Cruz A. C. Blanco A. C. Blanco N. V. Lubrica C. J. Valdez E. P. Cajucom |
| author_sort | A. Baloloy |
| collection | DOAJ |
| description | Urbanization can be observed through the occurrence of land-use changes as more land is being transformed and developed for urban use. One of the Philippine cities with high rate of urbanization is Baguio City, known for having a subtropical highland climate. To understand the spatiotemporal relationship between urbanization and temperature, this study aims to analyze the correlation of urban extent with land surface and air temperature in Baguio City using satellite-based built-up extents, land surface temperature (LST) maps, and weather station-recorded air temperature data. Built-up extent layers were derived from three satellite images: Landsat, RapidEye and PlanetScope. Land-use land cover (LULC) maps were generated from Landsat images using biophysical indices such as Normalized Difference Vegetation Index (NDVI) and Normalized Difference Built-up Index (NDBI); while RapidEye and PlanetScope built-up extent maps were generated by applying the visible green-based built-up index (VgNIR-BI). Mean LST values from 1988 to 2018 during the dry and wet seasons were calculated from the Landsat-retrieved surface temperature layers. The result of the study shows that the increase in the built-up extent significantly intensified the LST during the dry season which was observed in all satellite data-derived built-up maps: RapidEye+PlanetScope (2012–2018; r = 0.88), Landsat 8 (2012–2018; r = 0.63) and Landsat 5,7,8 (1988–2018; r = 0.61). The main LST hotspots were detected inside the Central Business District where it expanded gradually from year 1998 (43 ha) to 2011 (83 ha), but have increased extensively within the years 2014 to 2019 (305 ha). On average, 98.5% of the hotspots detected from 1995 to 2019 are within the equivalent built-up area. |
| first_indexed | 2024-12-13T02:38:35Z |
| format | Article |
| id | doaj.art-bbe1007bb0814fffb6d4a2351177a758 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-13T02:38:35Z |
| 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-bbe1007bb0814fffb6d4a2351177a7582022-12-22T00:02:22ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342019-12-01XLII-4-W19475410.5194/isprs-archives-XLII-4-W19-47-2019SPATIOTEMPORAL MULTI-SATELLITE BIOPHYSICAL DATA ANALYSIS OF THE EFFECT OF URBANIZATION ON LAND SURFACE AND AIR TEMPERATURE IN BAGUIO CITY, PHILIPPINESA. Baloloy0R. R. Sta. Ana1J. A. Cruz2A. C. Blanco3A. C. Blanco4N. V. Lubrica5C. J. Valdez6E. P. Cajucom7Training 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, PhilippinesTraining 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, PhilippinesResearch and Innovation Office, University of the Cordilleras, Governor Pack Road, Baguio City, 2600, PhilippinesResearch and Innovation Office, University of the Cordilleras, Governor Pack Road, Baguio City, 2600, PhilippinesClimatology and Agrometeorology Division, PAGASA, Diliman, Quezon City, 1101, PhilippinesUrbanization can be observed through the occurrence of land-use changes as more land is being transformed and developed for urban use. One of the Philippine cities with high rate of urbanization is Baguio City, known for having a subtropical highland climate. To understand the spatiotemporal relationship between urbanization and temperature, this study aims to analyze the correlation of urban extent with land surface and air temperature in Baguio City using satellite-based built-up extents, land surface temperature (LST) maps, and weather station-recorded air temperature data. Built-up extent layers were derived from three satellite images: Landsat, RapidEye and PlanetScope. Land-use land cover (LULC) maps were generated from Landsat images using biophysical indices such as Normalized Difference Vegetation Index (NDVI) and Normalized Difference Built-up Index (NDBI); while RapidEye and PlanetScope built-up extent maps were generated by applying the visible green-based built-up index (VgNIR-BI). Mean LST values from 1988 to 2018 during the dry and wet seasons were calculated from the Landsat-retrieved surface temperature layers. The result of the study shows that the increase in the built-up extent significantly intensified the LST during the dry season which was observed in all satellite data-derived built-up maps: RapidEye+PlanetScope (2012–2018; r = 0.88), Landsat 8 (2012–2018; r = 0.63) and Landsat 5,7,8 (1988–2018; r = 0.61). The main LST hotspots were detected inside the Central Business District where it expanded gradually from year 1998 (43 ha) to 2011 (83 ha), but have increased extensively within the years 2014 to 2019 (305 ha). On average, 98.5% of the hotspots detected from 1995 to 2019 are within the equivalent built-up area.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W19/47/2019/isprs-archives-XLII-4-W19-47-2019.pdf |
| spellingShingle | A. Baloloy R. R. Sta. Ana J. A. Cruz A. C. Blanco A. C. Blanco N. V. Lubrica C. J. Valdez E. P. Cajucom SPATIOTEMPORAL MULTI-SATELLITE BIOPHYSICAL DATA ANALYSIS OF THE EFFECT OF URBANIZATION ON LAND SURFACE AND AIR TEMPERATURE IN BAGUIO CITY, PHILIPPINES The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | SPATIOTEMPORAL MULTI-SATELLITE BIOPHYSICAL DATA ANALYSIS OF THE EFFECT OF URBANIZATION ON LAND SURFACE AND AIR TEMPERATURE IN BAGUIO CITY, PHILIPPINES |
| title_full | SPATIOTEMPORAL MULTI-SATELLITE BIOPHYSICAL DATA ANALYSIS OF THE EFFECT OF URBANIZATION ON LAND SURFACE AND AIR TEMPERATURE IN BAGUIO CITY, PHILIPPINES |
| title_fullStr | SPATIOTEMPORAL MULTI-SATELLITE BIOPHYSICAL DATA ANALYSIS OF THE EFFECT OF URBANIZATION ON LAND SURFACE AND AIR TEMPERATURE IN BAGUIO CITY, PHILIPPINES |
| title_full_unstemmed | SPATIOTEMPORAL MULTI-SATELLITE BIOPHYSICAL DATA ANALYSIS OF THE EFFECT OF URBANIZATION ON LAND SURFACE AND AIR TEMPERATURE IN BAGUIO CITY, PHILIPPINES |
| title_short | SPATIOTEMPORAL MULTI-SATELLITE BIOPHYSICAL DATA ANALYSIS OF THE EFFECT OF URBANIZATION ON LAND SURFACE AND AIR TEMPERATURE IN BAGUIO CITY, PHILIPPINES |
| title_sort | spatiotemporal multi satellite biophysical data analysis of the effect of urbanization on land surface and air temperature in baguio city philippines |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W19/47/2019/isprs-archives-XLII-4-W19-47-2019.pdf |
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