A Temporal Analysis of the Relationship Between Synoptic Weather Station Air Temperature Measurement and Satellite-Derived Land Surface Temperature: A Case Study in Port Area, Manila City, Philippines

This paper aims to assess the relationship between atmospheric temperature and land surface temperature (LST) in Manila City using satellite and synoptic weather station data from 2014 to 2018. Manila is the capital and second-largest city of the Philippines and one of the most densely populated cities in the world, so it is important to analyze the said parameters to give a better picture of the city heat situation. Atmospheric temperature is taken from the synoptic weather station measurements at Manila Port Area while land surface temperature was derived from MODIS satellite data at the same point. By analyzing the data, trend changes of the parameters can be obtained and observed. Using statistical correlation analysis, the relationship between the parameters were also established. Data shows that high air temperature measurements fall between March and May. Correlation analysis shows that Temperature measurement from weather data (Min, Max, Mean) and derived values from satellite data (LST Day & Night) mostly have a high positive correlation.