Fine-scale Mapping of Urban Surface Temperature in New York
Abstract
The aim of this study is to produce fine-scale mapping in New York City to show temperature variations in urban areas considering local surface characteristics. A walk campaign data collection was done to measure temperature and relative humidity at the street level throughout Manhattan. A regression coefficient model was used to find the correlation between land surface and temperature data measured by walk campaign instruments. The impact of albedo and large bodies of water in avenue routes, and NDVI and elevation in street routes are important variables in reducing the surface and near ground temperature. The results of this work can be used to aid in both the improvement and development of current and new urban environments.
Keywords
New York City; Remote sensing; Surface characteristics; Temperature mapping; Urban environments
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