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Derivation of an urban materials spectral library through emittance and reflectance spectroscopy

TLDR
In this article, the authors presented a new online spectral library of urban construction materials including LWIR emissivity spectra of 74 samples of impervious surfaces derived using measurements made by a portable Fourier Transform InfraRed (FTIR) spectrometer.
Abstract
Recent advances in thermal infrared remote sensing include the increased availability of airborne hyperspectral imagers (such as the Hyperspectral Thermal Emission Spectrometer, HyTES, or the Telops HyperCam and the Specim aisaOWL), and it is planned that an increased number spectral bands in the long-wave infrared (LWIR) region will soon be measured from space at reasonably high spatial resolution (by imagers such as HyspIRI). Detailed LWIR emissivity spectra are required to best interpret the observations from such systems. This includes the highly heterogeneous urban environment, whose construction materials are not yet particularly well represented in spectral libraries. Here, we present a new online spectral library of urban construction materials including LWIR emissivity spectra of 74 samples of impervious surfaces derived using measurements made by a portable Fourier Transform InfraRed (FTIR) spectrometer. FTIR emissivity measurements need to be carefully made, else they are prone to a series of errors relating to instrumental setup and radiometric calibration, which here relies on external blackbody sources. The performance of the laboratory-based emissivity measurement approach applied here, that in future can also be deployed in the field (e.g. to examine urban materials in situ), is evaluated herein. Our spectral library also contains matching short-wave (VIS–SWIR) reflectance spectra observed for each urban sample. This allows us to examine which characteristic (LWIR and) spectral signatures may in future best allow for the identification and discrimination of the various urban construction materials, that often overlap with respect to their chemical/mineralogical constituents. Hyperspectral or even strongly multi-spectral LWIR information appears especially useful, given that many urban materials are composed of minerals exhibiting notable reststrahlen/absorption effects in this spectral region. The final spectra and interpretations are included in the London Urban Micromet data Archive (LUMA; http://LondonClimate.info/LUMA/SLUM.html).

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Seasonal Variations of the Surface Urban Heat Island in a Semi-Arid City

TL;DR: This study suggests that in semi-arid cities, such as Tehran, with the urban-rural indicator, a surface urban cool island may be observed in daytime while SUHI at nighttime; with other indicators, SUHI can be seen in both day and night.
Journal ArticleDOI

Urban energy exchanges monitoring from space

TL;DR: The potential of the current satellite missions to retrieve urban energy budget fluxes is shown, supported by meteorological observations and evaluated by direct flux measurements, and an agreement within 5% between satellite and in-situ derived net all-wave radiation is found; and it is identified that wall facet fraction and urban materials type are the most important parameters for estimating heat storage of the urban canopy.
Journal ArticleDOI

Modeling the effective emissivity of the urban canopy using sky view factor

TL;DR: In this paper, a method for estimating effective surface emissivity using sky view factor retrieved from airborne Lidar data, building GIS data, and land use and land cover classification data was presented.
Journal ArticleDOI

An enhanced bloom index for quantifying floral phenology using multi-scale remote sensing observations

TL;DR: In this article, the authors developed an enhanced bloom index (EBI) based on the multispectral remotely sensed data, to quantify flowering status over almond (Prunus dulcis) orchards in Central Valley of California.
Journal ArticleDOI

Landslide Mapping and Characterization through Infrared Thermography (IRT): Suggestions for a Methodological Approach from Some Case Studies

TL;DR: The proposed methodology proved to be an effective tool for landslide analysis, especially in the field of emergency management, when it is often necessary to gather all the required information in dangerous environments as fast as possible, to be used for the planning of mitigation measures and the evaluation of hazardous scenarios.
References
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