Downscaling Methodology for Satellite Land Surface Temperatures over Urban Environments

Authors

Naved Khan, CUNY New York City College of TechnologyFollow
Ruben Vecino, CUNY New York City College of TechnologyFollow

Document Type

Poster

Publication Date

5-5-2021

Abstract

The objective of this study is to develop high spatial and temporal resolution Land Surface Temperature (LST) data using a combination of Landsat 8, infrared satellite sensors such as the Moderate Resolution Imaging Spectroradiometer (MODIS), and the Geostationary Operational Environmental Satellite-R Series (GOES-16). The Landsat 8 Thermal Infrared Sensor (TIRS) provides higher spatial resolution (30 m) estimates of skin temperature every 16 days. MODIS makes daytime and nighttime observations of the Earth’s thermal emission at a coarser spatial resolution (1000 m), while GOES-16, which has lower spatial resolution (2 km), measures the skin temperature at a much higher temporal resolution (five minutes). The downscaled estimates showed a reasonable agreement (-0.09 to 3.30 K) when they were validated against independent Landsat images.

Comments

This poster, second place winner for group projects, was presented at the 34th Semi-Annual Dr. Janet Liou-Mark Honors & Undergraduate Research Poster Presentation, May 5, 2021. Mentors: Abdou Rachid Bah (Physics), Zahra Sharifnezhad (City College, Civil Engineering), Hamidreza Norouzi (Construction Management and Civil Engineering Technology), and Reginald Blake (Physics).

This This study was funded by the Department of Defense (DOD) under Grant # W911NF – 18 – 0371. The statements contained within the manuscript/research article are not the opinions of the funding agency or the U.S. government, but reflect the author’s opinions. The authors also thank the Center for Remote Sensing and Earth Systems Science at the New York City College of Technology for resource assistance.