Next Article in Journal
Multi-View Structural Local Subspace Tracking
Next Article in Special Issue
Metal Oxide Gas Sensors, a Survey of Selectivity Issues Addressed at the SENSOR Lab, Brescia (Italy)
Previous Article in Journal
A Passive Temperature-Sensing Antenna Based on a Bimetal Strip Coil
Previous Article in Special Issue
Application and Uses of Electronic Noses for Clinical Diagnosis on Urine Samples: A Review
Open AccessArticle

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

DINCI (Dipartimento di Ingegneria Civile), University of Calabria, via P. Bucci 42B, 87036 Rende (CS), Italy
DIMEG (Dipartimento di Ingegneria Meccanica, Energetica e Gestionale), University of Calabria, via P. Bucci 42B, 87036 Rende (CS), Italy
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
Sensors 2017, 17(4), 662;
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)
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
Show Figures

Figure 1

MDPI and ACS Style

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.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop