AMARTIS v2: 3D Radiative Transfer Code in the [0.4; 2.5 µm] Spectral Domain Dedicated to Urban Areas

Thomas, Colin; Doz, Stéphanie; Briottet, Xavier; Lachérade, Sophie

doi:10.3390/rs3091914

Cited by 12 publications

(9 citation statements)

References 41 publications

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“…The reflected irradiance depends on the reflectance of the reflecting surface, the incident solar angle, and whether the surface is sunlit or shadowed. In a cluttered urban environment shown in [13], the nearby sunlit surface will contribute most of the reflected irradiance. Based on the simulation in [13], of the shadow pixels ([13, Fig.…”

Section: Estimating Reflected Irradiancementioning

confidence: 99%

“…In a cluttered urban environment shown in [13], the nearby sunlit surface will contribute most of the reflected irradiance. Based on the simulation in [13], of the shadow pixels ([13, Fig. 8d]) is around 0.2 at 0.67 m wavelength.…”

Section: Estimating Reflected Irradiancementioning

confidence: 99%

“…The radiative budget in sunlit and shadowed regions is illustrated in the urban canyon and crossroad simulations in [13]. In the sunlit region, the total irradiance is dominated by the direct irradiance and diffused irradiance.…”

Section: A Radiative Budget In Sunlit and Shadowed Regionsmentioning

confidence: 99%

“…Following the radiative transfer framework in [13], the reflectance retrieval problem over a Lambertian surface can be formulated mathematically at each pixel as follows:…”

Section: Radiative Transfer Modelmentioning

confidence: 99%

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Efficient Empirical Reflectance Retrieval in Urban Environments

Chen

Seow

Briottet

et al. 2013

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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In a complex urban environment, images acquired with very high spatial resolution are often plagued with shadows. Shadows distort the spectral features of materials, possibly crippling many image-based applications such as visualization, anomaly detection and classification. Moreover, it is very difficult to perform accurate atmospheric compensation when in shadow due to the complex interaction of radiative components. This paper proposes a novel empirical atmospheric compensation method that is applicable to both sunlit and shadowed regions, and does not require the use of 3-D geometrical data nor Digital Elevation Models (DEM). The resulting reflectance images were then tested for the purposes of visualization, anomaly detection and classification.

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Section: Estimating Reflected Irradiancementioning

confidence: 99%

Section: Estimating Reflected Irradiancementioning

confidence: 99%

Section: A Radiative Budget In Sunlit and Shadowed Regionsmentioning

confidence: 99%

“…Following the radiative transfer framework in [13], the reflectance retrieval problem over a Lambertian surface can be formulated mathematically at each pixel as follows:…”

Section: Radiative Transfer Modelmentioning

confidence: 99%

See 2 more Smart Citations

Efficient Empirical Reflectance Retrieval in Urban Environments

Chen

Seow

Briottet

et al. 2013

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…However, in remote sensing, the assumption of flat ground is used to model the signal at ground and sensor level even though in cities with very high spatial resolution, this assumption is no longer valid according to Thomas et al [31] because of the complexity introduced by relief. Therefore, it requires a new formalism adapted in this case namely AMARTIS v2 [31].…”

Section: Remote Sensing As a Platform To Urban Applications And Its Cmentioning

confidence: 99%

Leveraging of remote sensing and GIS on mapping in urban and regional planning applications

Abdullah¹,

Rosni²

2014

IOP Conf. Ser.: Earth Environ. Sci.

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Abstract. While remote sensing applications represent a major though still underused source of urban data, the proposed combination between remote sensing and Geo-information System (GIS) in urban and regional planning is not fully explored. In order to measure changes in land use, the need of platform in monitoring, recording, and predicting the changes is necessary for planners and developers. In advance technology of mapping process, remote sensing and GIS as tools for urban planning are already recognised. But, due to lack of implementation and awareness about the benefits of these tools, these terms look unusual. Therefore, this paper reviews the history of remote sensing and GIS in urban applications, technical skills and the challenges, and future development of remote sensing and GIS especially for urban development particularly in developing countries.

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Model of Spectral and Directional Radiative Transfer in Complex Urban Canopies with Participating Atmospheres

Caliot

Schoetter

Forest³

et al. 2022

Boundary-Layer Meteorol

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Thermal heat transfers, including solar and infrared radiation in cities, are key processes for studying urban heat islands, outdoor human thermal comfort, energy consumption, and production. Thus, accurate radiative transfer models are required to compute the solar and infrared fluxes in complex urban geometry accounting for the spectral and directional properties of the atmosphere and city fabric materials. In addition, these reference models may be used to evaluate existing parametrization models of radiative heat transfer and to develop new ones. The present article introduces a new reference model for outdoor radiative exchange based on the backward Monte Carlo method. The integral formulations of the direct and scattered solar, and the terrestrial infrared radiative flux densities are presented. This model can take into account the ground (e.g., roads, grass), different types of buildings and vegetation (e.g., trees consisting of opaque leaves and trunks) with their spectral and directional (Lambertian and specular) reflectivity of materials. Numerical validations of the algorithm are presented against the results of a state-of-the-art model based on the radiosity method for the particular case of an infinitely long street canyon. In addition, the convergence of urban solar radiation budgets is studied for a selection of urban complex geometries including

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AMARTIS v2: 3D Radiative Transfer Code in the [0.4; 2.5 µm] Spectral Domain Dedicated to Urban Areas

Cited by 12 publications

References 41 publications

Efficient Empirical Reflectance Retrieval in Urban Environments

Efficient Empirical Reflectance Retrieval in Urban Environments

Leveraging of remote sensing and GIS on mapping in urban and regional planning applications

Model of Spectral and Directional Radiative Transfer in Complex Urban Canopies with Participating Atmospheres

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