Publications and Research
Document Type
Poster
Publication Date
5-5-2022
Abstract
In environmental remote sensing, satellite data isn't absolutely conclusive, for that reason, there is a natural need to verify the data acquired from the satellite. The most suitable tool to achieve such verification is on ground sensors that have the advantage of proximity. Addressing any possible discrepancies between the satellite data and the ground sensor data is sure to yield ways to come up with improvements of satellite band calibration and sensing capabilities. This research focused on correlating temperature data from the MODIS satellite with the data obtained from the In Situ sensor located in Lake Sunapee. Doing the latter proved that satellite data is still relatively loyal to the actual measurement on the ground; the RMSE for lake Sunapee is 3.8 K with a mean difference of 2.5 K. However, still more work needs to be done to address the marginal disparities from the two data sets.
Included in
Climate Commons, Hydrology Commons, Physical and Environmental Geography Commons, Remote Sensing Commons
Comments
This poster was presented at the 36th Semi-Annual Dr. Janet Liou-Mark Honors & Undergraduate Research Poster Presentation, May 5, 2022. Mentors: Profs. Abdou Bah, Reginald Blake, & Hamidreza Norouzi (Physics and Construction Management and Civil Engineering Technology).
This project is supported by the National Science Foundation for Improving Undergraduate STEM Education (IUSE). under the direction of Dr. Reginald A. Blake, Dr. Hamid Norouzi, and Ms. Julia Rivera. The authors are solely responsible for the content of this article, and it does not necessarily represent the views of the NSF IUSE.