Urban thermal map design considerations: color, shading, and resolution

Abstract

ABSTRACT While satellite-based remote sensing techniques are often used for studying and visualizing the heat distribution in cities, they are limited in terms of spatial resolution, view bias, and revisit times. In comparison, modern Unmanned Aerial Vehicles (UAVs) equipped with infrared sensors allow very fine-scale (cm) data to be collected over smaller areas. We present a user study (n = 66) that outlines how satellite and drone-sourced thermal pseudo-color images compare in terms of map reading performance on three representative map reading tasks, how the choice of colormap affects map reading, and how a new shading augmentation to thermal maps based on high-resolution digital surface models can support interaction. Additionally, users provided explicit preferences indicating an inclination toward the shading augmentation, for the recently designed rainbow-style colormap turbo, and the cmocean thermal/FLIR ironbow colormap. However, we detail how user preferences and map reading performance are not always well aligned and are linked to issues of information content and visual clutter.