Perla Zambrano-Prado, A. Josa, J. Rieradevall, Ramon Alamús, Fernando Pérez, Juan Marchan, Santiago Gassó, X. Gabarrell
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引用次数: 0
Abstract
ABSTRACT In recent years, rooftops have been used as productive spaces for local resource (e.g. food, water, or energy) production. The main objective of this study is to demonstrate the potential of hyperspectral data to identify roof materials in cities. The case study area is located in a Mediterranean region north of Barcelona (Spain); diverse building typologies, building uses (residential, industrial, office, services and retail) and population densities constitute this study area. Two hyperspectral remote sensors (HRSs) were used to obtain hyperspectral images. Seven roof classes were identified using the k-means clustering algorithm. Most roofs were identified as metals (33 percent), followed by ceramic tiles (22 percent). The findings showed that 51 percent of roofs could be suitable for food, water, or energy production. Nevertheless, for a more reliable assessment of this potential, more criteria are needed.
期刊介绍：
The Journal of Urban Technology publishes articles that review and analyze developments in urban technologies as well as articles that study the history and the political, economic, environmental, social, esthetic, and ethical effects of those technologies. The goal of the journal is, through education and discussion, to maximize the positive and minimize the adverse effects of technology on cities. The journal"s mission is to open a conversation between specialists and non-specialists (or among practitioners of different specialities) and is designed for both scholars and a general audience whose businesses, occupations, professions, or studies require that they become aware of the effects of new technologies on urban environments.
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