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Assessment of sky diffuse irradiance and building reflected irradiance in cast shadows / Manchun Lei (2021)  

Public Titre : Assessment of sky diffuse irradiance and building reflected irradiance in cast shadows Type de document : Article/Communication Auteurs : Manchun Lei , Auteur ; Yulu Xi, Auteur ; Jean-Philippe Gastellu-Etchegorry, Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2021 Projets : 2-Pas d'info accessible - article non ouvert / Conférence : IGARSS 2021, IEEE International Geoscience And Remote Sensing Symposium 11/07/2021 16/07/2021 Bruxelles Belgique Proceedings IEEE Importance : pp 6960 - 6963 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Physique [Termes IGN] bâtiment [Termes IGN] éclairement énergétique [Termes IGN] modèle 3D de l'espace urbain [Termes IGN] ombre [Termes IGN] rayonnement électromagnétique [Termes IGN] réflectance de surface [Termes IGN] scène urbaine [Termes IGN] transfert radiatif [Termes IGN] zone urbaine Résumé : (auteur) Sky radiance field at the bottom of the atmosphere and building façades are invisible in the remote sensing images, but they are the two main light sources of ground surfaces in the shadows cast by buildings in urban areas. This work is interested in evaluating the impact of the anisotropic sky and the reflection of the building on the irradiance of shaded surfaces. The assessment is based on 3D radiative transfer simulations of urban scenes with different sky radiance distributions and different building façade reflectance. The results show that without taking into account anisotropic sky, the average error of sky irradiance estimation in cast shadows can reach 183.75% in a visible band centered at 550 nm. According to the geometry and reflectivity of the building façade, the contribution of the building reflection to the irradiance of the shaded surfaces varies from 0.95% to 84.23%. Numéro de notice : C2021-043 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/IGARSS47720.2021.9553889 Date de publication en ligne : 12/10/2021 En ligne : https://doi.org/10.1109/IGARSS47720.2021.9553889 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99417

Unmanned aerial system multispectral mapping for low and variable solar irradiance conditions: Potential of tensor decomposition / Sheng Wang in ISPRS Journal of photogrammetry and remote sensing, vol 155 (September 2019)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 155 (September 2019) . - pp 58 - 71 Titre : Unmanned aerial system multispectral mapping for low and variable solar irradiance conditions: Potential of tensor decomposition Type de document : Article/Communication Auteurs : Sheng Wang, Auteur ; Andreas Baum, Auteur ; Pablo J. Zarco-Tejada, Auteur ; Carsten Dam-Hansen, Auteur ; Anders Thorseth, Auteur ; Peter Bauer-Gottwein, Auteur ; Filippo Bandini, Auteur ; Monica Garcia, Auteur Année de publication : 2019 Article en page(s) : pp 58 - 71 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] éclairement énergétique [Termes IGN] étalonnage de capteur (imagerie) [Termes IGN] image captée par drone [Termes IGN] image multibande [Termes IGN] nébulosité [Termes IGN] réflectance spectrale [Termes IGN] réflectance végétale [Termes IGN] tenseur Résumé : (Auteur) Unlike satellite earth observation, multispectral images acquired by Unmanned Aerial Systems (UAS) provide great opportunities to monitor land surface conditions also in cloudy or overcast weather conditions. This is especially relevant for high latitudes where overcast and cloudy days are common. However, multispectral imagery acquired by miniaturized UAS sensors under such conditions tend to present low brightness and dynamic ranges, and high noise levels. Additionally, cloud shadows over space (within one image) and time (across images) are frequent in UAS imagery collected under variable irradiance and result in sensor radiance changes unrelated to the biophysical dynamics at the surface. To exploit the potential of UAS for vegetation mapping, this study proposes methods to obtain robust and repeatable reflectance time series under variable and low irradiance conditions. To improve sensor sensitivity to low irradiance, a radiometric pixel-wise calibration was conducted with a six-channel multispectral camera (mini-MCA6, Tetracam) using an integrating sphere simulating the varying low illumination typical of outdoor conditions at 55oN latitude. The sensor sensitivity was increased by using individual settings for independent channels, obtaining higher signal-to-noise ratios compared to the uniform setting for all image channels. To remove cloud shadows, a multivariate statistical procedure, Tucker tensor decomposition, was applied to reconstruct images using a four-way factorization scheme that takes advantage of spatial, spectral and temporal information simultaneously. The comparison between reconstructed (with Tucker) and original images showed an improvement in cloud shadow removal. Outdoor vicarious reflectance validation showed that with these methods, the multispectral imagery can provide reliable reflectance at sunny conditions with root mean square deviations of around 3%. The proposed methods could be useful for operational multispectral mapping with UAS under low and variable irradiance weather conditions as those prevalent in northern latitudes. Numéro de notice : A2019-311 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1016/j.isprsjprs.2019.06.017 Date de publication en ligne : 04/07/2019 En ligne : https://doi.org/10.1016/j.isprsjprs.2019.06.017 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93336 [article]

Exemplaires(3)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2019091	RAB	Revue	Centre de documentation	En réserve L003	Disponible
081-2019093	DEP-RECP	Revue	LASTIG	Dépôt en unité	Exclu du prêt
081-2019092	DEP-RECF	Revue	Nancy	Dépôt en unité	Exclu du prêt

Variation in irradiance, soil features and regeneration patterns in experimental forest canopy gaps / Urša Vilhar in Annals of Forest Science, vol 72 n° 2 (March - april 2015)  

Public [article]  inAnnals of Forest Science > vol 72 n° 2 (March - april 2015) . - pp 253 - 266 Titre : Variation in irradiance, soil features and regeneration patterns in experimental forest canopy gaps Type de document : Article/Communication Auteurs : Urša Vilhar, Auteur ; Dušan Roženbergar, Auteur ; Primož Simončič, Auteur ; Jurij Diaci, Auteur Année de publication : 2015 Article en page(s) : pp 253 - 266 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation [Termes IGN] Acer pseudoplatanus [Termes IGN] éclairement énergétique [Termes IGN] Fagus (genre) [Termes IGN] peuplement mélangé [Termes IGN] plantation forestière [Termes IGN] régénération (sylviculture) [Termes IGN] sol Numéro de notice : A2015-428 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1007/s13595-014-0424-y Date de publication en ligne : 01/10/2014 En ligne : https://doi.org/10.1007/s13595-014-0424-y Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77017 [article]

Retrieval of spectral reflectance of high resolution multispectral imagery acquired with an autonomous unmanned aerial vehicle: AggieAir™ / Bushra Zaman in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 12 (December 2014)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 12 (December 2014) . - pp 1139 - 1150 Titre : Retrieval of spectral reflectance of high resolution multispectral imagery acquired with an autonomous unmanned aerial vehicle: AggieAir™ Type de document : Article/Communication Auteurs : Bushra Zaman, Auteur ; Austin Jensen, Auteur ; Shannon R. Clemens, Auteur ; Mac McKee, Auteur Année de publication : 2014 Article en page(s) : pp 1139 - 1150 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] bande infrarouge [Termes IGN] drone [Termes IGN] éclairement énergétique [Termes IGN] étalonnage de capteur (imagerie) [Termes IGN] image à haute résolution [Termes IGN] image multibande [Termes IGN] orthophotoplan numérique [Termes IGN] prise de vue aérienne [Termes IGN] radiance [Termes IGN] réflectance spectrale [Termes IGN] Utah (Etas-Unis) Résumé : (auteur) This research presents a new semi-automatic model for converting raw AggieAir™ footprints in visible and near-infrared (Nin) bands into reflectance images. AggieAir, a new unmanned aerial vehicle (UAV) platform, is flown autonomously using pre-programmed flight plans at low altitudes to limit atmospheric effects. The UAV acquires high-resolution, multispectral images and has a flight duration of about 30 minutes. The sensors on board are twin cameras with duplicate settings and automatic mode disabled. A white Barium Sulfate (BaSO4j panel is used for reflectance calibration and in situ irradiance measurements. The spatial resolution of the imagery is 25 cm; the radiometric resolution is 8-bit. The raw images are mosaicked and orthorectified and the model converts their digital numbers (DN) to reflectance values. Imagery, acquired around local solar noon over wetlands on the Great Salt Lake. Utah, is used to illustrate the results. The model generates high quality images and the results are good. The reflectance values of vegetation in the NIR, Green and Red hands extracted at the test locations are consistent. The image processing, reflectance calculations, accuracy issues, with the proposed method are discussed. Numéro de notice : A2014 670 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.12.1139 En ligne : https://doi.org/10.14358/PERS.80.12.1139 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75129 [article]

Synthetic images for evaluating topographic correction algorithms / Ion Sola in IEEE Transactions on geoscience and remote sensing, vol 52 n° 3 (March 2014)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 52 n° 3 (March 2014) . - pp 1799 - 1810 Titre : Synthetic images for evaluating topographic correction algorithms Type de document : Article/Communication Auteurs : Ion Sola, Auteur ; Maria Gonzalez-Audicana, Auteur ; Jesus Alvarez-Mozos, Auteur ; José Luis Torres, Auteur Année de publication : 2014 Article en page(s) : pp 1799 - 1810 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] correction topographique [Termes IGN] éclairement énergétique [Termes IGN] Espagne [Termes IGN] évaluation [Termes IGN] image de synthèse Résumé : (Auteur) In the last years, many topographic correction (TOC) methods have been proposed to correct the illumination differences between the areas observed by optical remote sensors. Although the available number of TOC methods is high, the evaluation of their performance generally relies on the existence of precise land-cover information, and a standardized and objective evaluation procedure has not been proposed yet. In this paper, we propose an objective procedure to assess the accuracy of these TOC methods on the basis of simulated scenes, i.e., synthetically generated images. These images represent the radiance an optical sensor would receive under specific geometric and temporal acquisition conditions and assuming a certain land-cover type. A simplified method for creating synthetic images using the state-of-the-art irradiance models is proposed, both considering the real topography of a certain area [synthetic real (SR) image] or considering the relief of this area as being completely flat [synthetic horizontal image (SH)]. The comparison between the corrected image obtained by applying a TOC method to the SR and SH images of the same area, allows assessing the performance of each TOC algorithm. This comparison is quantitatively carried out using the structural similarity index. The proposed TOC evaluation procedure is applied to a specific case study in northern Spain to explain its implementation and demonstrate its potential. The procedure proposed in this paper could be also used to assess the behavior of TOC methods operating under different scenarios considering diverse topographic, geometrical, and temporal acquisition configurations. Numéro de notice : A2014-116 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2255296 En ligne : https://doi.org/10.1109/TGRS.2013.2255296 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33021 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-2014031	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Evaluation of different methods to retrieve the hemispherical downwelling irradiance in the thermal infrared region for field measurements / Vicente Garcia-Santos in IEEE Transactions on geoscience and remote sensing, vol 51 n° 4 Tome 2 (April 2013)  

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A comparative analysis of DEM-based models to estimate the solar radiation in mountainous terrain / J. Ruiz-Arias in International journal of geographical information science IJGIS, vol 23 n° 7-8 (july 2009)  

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Spectral properties and reflectance curves of the revealed volcanic rocks in Syria using radiometric measurements / M. Rukieh in International Journal of Remote Sensing IJRS, vol 28 n°15-16 (August 2007)  

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Separating surface emissivity and temperature using two-channel spectral indices and emissivity composites and comparison with a vegetation fraction method / P. Dash in Remote sensing of environment, vol 96 n° 1 (15/05/2005)  

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A whole image approach using field measurements for transforming EO1 Hyperion hyperspectral data into canopy reflectance spectra / E.W. Ramsey in International Journal of Remote Sensing IJRS, vol 26 n° 8 (April 2005)  

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Rethinking satellite-based solar irradiance modelling the SOLIS clear-sky module / R.W. Mueller in Remote sensing of environment, vol 91 n° 2 (30/05/2004)  

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The spatial distribution of indigenous forest and its composition in the Wellington region, New Zealand, from ETM+ satellite imagery / J.R. Dymond in Remote sensing of environment, vol 90 n° 1 (15/03/2004)  

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Narrowband-to-broadband albedo conversion for glacier ice and snow: equations based on modeling and ranges of validity of the equations / W. Greuell in Remote sensing of environment, vol 89 n° 1 (15/01/2004)  

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Development of a solar spectro-irradiometer for the validation of remotely sensed hyperspectral images / A. Barducci (2001)

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Remote sensing in the 21st century : economic and environmental applications / José Luis Casanova (2000)

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