GEOSPATIAL ASSESSMENT AND MODELING OF URBAN HEAT ISLANDS IN QUEZON CITY, PHILIPPINES USING OLS AND GEOGRAPHICALLY WEIGHTED REGRESSION

@article{Alcntara2019GEOSPATIALAA,
  title={GEOSPATIAL ASSESSMENT AND MODELING OF URBAN HEAT ISLANDS IN QUEZON CITY, PHILIPPINES USING OLS AND GEOGRAPHICALLY WEIGHTED REGRESSION},
  author={Carolina Alc{\^a}ntara and Juan Duns Escoto and Ariel C. Blanco and Alvin Balidoy Baloloy and J. A. Santos and R. R. Sta. Ana},
  journal={The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
  year={2019}
}
  • C. Alcântara, J. D. Escoto, R. S. Sta. Ana
  • Published 1 October 2019
  • Environmental Science, Mathematics
  • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Abstract. Urbanization has played an important part in the development of the society, yet it is accompanied by environmental concerns including the increase of local temperature compared to its immediate surroundings. The latter is known as Urban Heat Islands (UHI). This research aims to model UHI in Quezon City based on Land Surface Temperature (LST) estimated from Landsat 8 data. Geospatial processing and analyses were performed using Google Earth Engine, ArcGIS, GeoDa, and SAGA GIS. Based… 
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4 Citations

4 Citations

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MODELLING OF LAND SURFACE TEMPERATURE USING GRAY LEVEL CO-OCCURRENCE MATRIX AND RANDOM FOREST REGRESSION
Abstract. Modelling of land surface temperature (LST) is conducted to be able to explain the spatial and temporal variations of LST using a set of explanatory variables. LST in a previous study was…

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