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Sensors 2017, 17(4), 662; doi:10.3390/s17040662

Hyperspectral Monitoring of Green Roof Vegetation Health State in Sub-Mediterranean Climate: Preliminary Results

1
DINCI (Dipartimento di Ingegneria Civile), University of Calabria, via P. Bucci 42B, 87036 Rende (CS), Italy
2
DIMEG (Dipartimento di Ingegneria Meccanica, Energetica e Gestionale), University of Calabria, via P. Bucci 42B, 87036 Rende (CS), Italy
3
DICEA (Dipartimento di Ingegneria Civile Edile e Ambientale), Sapienza University of Rome, via Eudossiana 18, 00184 Rome, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 1 February 2017 / Revised: 6 March 2017 / Accepted: 20 March 2017 / Published: 23 March 2017
(This article belongs to the Special Issue State-of-the-Art Sensors Technologies in Italy 2016)
View Full-Text   |   Download PDF [9582 KB, uploaded 23 March 2017]   |  

Abstract

In urban and industrial environments, the constant increase of impermeable surfaces has produced drastic changes in the natural hydrological cycle. Decreasing green areas not only produce negative effects from a hydrological-hydraulic perspective, but also from an energy point of view, modifying the urban microclimate and generating, as shown in the literature, heat islands in our cities. In this context, green infrastructures may represent an environmental compensation action that can be used to re-equilibrate the hydrological and energy balance and reduce the impact of pollutant load on receiving water bodies. To ensure that a green infrastructure will work properly, vegetated areas have to be continuously monitored to verify their health state. This paper presents a ground spectroscopy monitoring survey of a green roof installed at the University of Calabria fulfilled via the acquisition and analysis of hyperspectral data. This study is part of a larger research project financed by European Structural funds aimed at understanding the influence of green roofs on rainwater management and energy consumption for air conditioning in the Mediterranean area. Reflectance values were acquired with a field-portable spectroradiometer that operates in the range of wavelengths 350–2500 nm. The survey was carried out during the time period November 2014–June 2015 and data were acquired weekly. Climatic, thermo-physical, hydrological and hydraulic quantities were acquired as well and related to spectral data. Broadband and narrowband spectral indices, related to chlorophyll content and to chlorophyll–carotenoid ratio, were computed. The two narrowband indices NDVI705 and SIPI turned out to be the most representative indices to detect the plant health status. View Full-Text
Keywords: hyperspectral monitoring; vegetation indices; green roofs hyperspectral monitoring; vegetation indices; green roofs
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Piro, P.; Porti, M.; Veltri, S.; Lupo, E.; Moroni, M. Hyperspectral Monitoring of Green Roof Vegetation Health State in Sub-Mediterranean Climate: Preliminary Results. Sensors 2017, 17, 662.

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