Spatial-Temporal Modeling of the Relationship Between Surface Temperature and Air Temperature in Metropolitan Urban Systems
Published: 22 November 2023| Version 1 | DOI: 10.17632/yk9g44bdnd.1
Contributors:
, , , Description
This data set contains surface (LST) and air temperature (AT) data collected in Philadelphia in 2022 and 2023 which was used to construct a spatiotemporal model using AT to predict LST. The code for that model in included as well.
Files
Institutions
Villanova University
Categories
Geography, Remote Sensing, Spatio-Temporal Model, Air Temperature
Funding
National Science Foundation
1832407