Publications and Research
Document Type
Poster
Publication Date
12-5-2018
Abstract
Urban areas have discrete differences in their land surface temperatures (LST) compared to rural areas. These regions are covered with impermeable materials with less vegetation and moisture. Consequently, this phenomenon causes major thermal intensities of different land surfaces, negatively impact people and environment. The objective of this project is to examine and to compare land surface temperature obtained from in-situ data and satellite-based observations in order to understand the diurnal variation and heat transfer at each surface type. The study utilizes series of hand held thermal infrared cameras and one Unmanned Aerial Vehicle (UAV) infrared camera to find land surface temperature of various surface types in New York City. It also provides a thorough analysis of the ground observations of different land surfaces by using a flux tower that collects measurements of all surface energy balance components for the first time in urban regions. The flux tower was planted on materials such as concrete, asphalt and rooftops to take the measurements through eddy covariance method. Additionally, the satellite observations from NOAA's latest generation of Geostationary Operational Environmental Satellites (GOES), known as the GOES-R Series, Landsat, and the Moderate Resolution Imaging Spectroradiometer (MODIS) LST products were compared to the exact locations of the ground-based data collected from the thermal cameras.
Included in
Atmospheric Sciences Commons, Climate Commons, Meteorology Commons, Remote Sensing Commons
Comments
This poster, the 1st place winner for STEM group posters, was presented at the 29th Semi-Annual Honors and Undergraduate Research Scholars Poster Presentation at New York City College of Technology, Dec. 5, 2018.
Faculty mentors: Drs. Christopher Beale, Hamid Norouzi, and Reginald Blake.
This project is supported by the National Science Foundation Research Experiences for Undergraduates (Grant # 1560050), under the direction of Dr. Reginald A. Blake, Dr. Janet Liou-Mark, and Ms. Laura Yuen-Lau. The authors are grateful for the support from The National Oceanic and Atmospheric Administration – Cooperative Science Center for Earth System Sciences and Remote Sensing Technologies Summer Bridge program (Grant # NA16SEC4810008) under the direction of Dr. Reza Khanbilvardi and Dr. Shakila Merchant. The authors are solely responsible for the content of this article, and it does not necessarily represent the views of the NSF or of NOAA-CREST.