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Termes IGN > sciences naturelles > physique > optique > optique physique > radiométrie > rayonnement électromagnétique > modèle de transfert radiatif
modèle de transfert radiatifSynonyme(s)Discrete Anisotropic Radiative Transfer, DARTVoir aussi |
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Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: modelling and validation in the context of precision agriculture / D. Haboudane in Remote sensing of environment, vol 90 n° 3 (15/04/2004)
[article]
Titre : Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: modelling and validation in the context of precision agriculture Type de document : Article/Communication Auteurs : D. Haboudane, Auteur ; J.R. Miller, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 337 - 352 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] agriculture de précision
[Termes IGN] analyse comparative
[Termes IGN] blé (céréale)
[Termes IGN] chlorophylle
[Termes IGN] cultures
[Termes IGN] données de terrain
[Termes IGN] Glycine max
[Termes IGN] Green Leaf Area Index
[Termes IGN] image CASI
[Termes IGN] image hyperspectrale
[Termes IGN] indice de végétation
[Termes IGN] maïs (céréale)
[Termes IGN] modèle de transfert radiatif
[Termes IGN] prévision
[Termes IGN] réflectance végétaleRésumé : (Auteur) A growing number of studies have focused on evaluating spectral indices in terms of their sensitivity to vegetation biophysical parameters, as well as to external factors affecting canopy reflectance. In this context, leaf and canopy radiative transfer models are valuable for modeling and understanding the behavior of such indices. In the present work, PROSPECT and SAILH models have been used to simulate a wide range of crop canopy reflectances in an attempt to study the sensitivity of a set of vegetation indices to green leaf area index (LAI), and to modify some of them in order to enhance their responsivity to LAI variations. The aim of the paper was to present a method for minimizing the effect of leaf chlorophyll content on the prediction of green LAI, and to develop new algorithms that adequately predict the LAI of crop canopies. Analyses based on both simulated and real hyperspectral data were carried out to compare performances of existing vegetation indices (Normalized Difference Vegetation Index [NDVI], Renormalized Difference Vegetation Index [RDVI], Modified Simple Ratio [MSR], Soil-Adjusted Vegetation Index [SAVI], Soil and Atmospherically Resistant Vegetation Index [SARVI], MSAVI, Triangular Vegetation Index [TVI], and Modified Chlorophyll Absorption Ratio Index [MCARI]) and to design new ones (MTVII, MCARII, MTV12, and MCAR12) that are both less sensitive to chlorophyll content variations and linearly related to green LAI. Thorough analyses showed that the above existing vegetation indices were either sensitive to chlorophyll concentration changes or affected by saturation at high LAI levels. Conversely, two of the spectral indices developed as a part of this study, a modified triangular vegetation index (MTV12) and a modified chlorophyll absorption ratio index (MCAR12), proved to be the best predictors of green LAI. Related predictive algorithms were tested on CASI (Compact Airborne Spectrographic Imager) hyperspectral images and, then, validated using ground truth measurements. The latter were collected simultaneously with image acquisition for different crop types (soybean, corn, and wheat), at different growth stages, and under various fertilization treatments. Prediction power analysis of proposed algorithms based on MCAR12 and MTV12 resulted in agreements between modeled and ground measurement of non-destructive LAI, with coefficients of determination (r) being 0.98 for soybean, 0.89 for com, and 0.74 for wheat. The corresponding RMSE for LAI were estimated at 0.28, 0.46, and 0.85, respectively. Numéro de notice : A2004-201 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2003.12.013 En ligne : https://doi.org/10.1016/j.rse.2003.12.013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26728
in Remote sensing of environment > vol 90 n° 3 (15/04/2004) . - pp 337 - 352[article]Radiometric characterization of Ikonos multispectral imagery / M. Pagnutti in Remote sensing of environment, vol 88 n° 1 (30/11/2003)
[article]
Titre : Radiometric characterization of Ikonos multispectral imagery Type de document : Article/Communication Auteurs : M. Pagnutti, Auteur ; M. Kelly, Auteur ; V. Zanoni, Auteur ; K. Thome, Auteur ; S. Schiller, Auteur Année de publication : 2003 Article en page(s) : pp 53 - 68 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] compensation
[Termes IGN] étalonnage radiométrique
[Termes IGN] fonction de transfert de modulation
[Termes IGN] image à très haute résolution
[Termes IGN] image Ikonos
[Termes IGN] image multibande
[Termes IGN] modèle de transfert radiatifRésumé : (Auteur) A radiometric characterization of Space Imaging's IKONOS 4-m multispectral imagery has been performed by a National Aeronautics and Space Administration (NASA) funded team from NASA Stennis Space Center, the University of Arizona Remote Sensing Group (U of ARSG), and South Dakota State University (SDSU). Both intrinsic radiometry and the effects of Space Imaging processing on radiometry were investigated. Relative radiometry was examined with uniform Antarctic and Saharan sites. Absolute radiometric calibration was performed using reflectance-based vicarious calibration methods on several uniform sites imaged by IKONOS coincident with Ground-based surface and atmospheric measurements. Ground-based data and the IKONOS spectral response function served as input to radiative transfer codes to generate a top-of-atmosphere (TOA) radiance estimate. Calibration coefficients derived from each vicarious calibration were combined to generate an IKONOS radiometric gain coefficient for each multispectral band assuming a linear response over the full dynamic range of the instrument. These calibration coefficients were made available to Space Imaging, which subsequently adopted them by updating its initial set of callibration coefficients. IKONOS imagery procured through the NASA Scientific Data Purchase was processed with or without a Modulation Transfer Function Compensation (MTFC) kernel. The radiometric effects of this kernel on various scene types were also investigated. Numéro de notice : A2003-331 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2003.07.008 En ligne : https://doi.org/10.1016/j.rse.2003.07.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22627
in Remote sensing of environment > vol 88 n° 1 (30/11/2003) . - pp 53 - 68[article]Vegetation canopy anisotropy at 1.4 GHz / B.K. Hornbuckle in IEEE Transactions on geoscience and remote sensing, vol 41 n° 10 (October 2003)
[article]
Titre : Vegetation canopy anisotropy at 1.4 GHz Type de document : Article/Communication Auteurs : B.K. Hornbuckle, Auteur ; A.W. England, Auteur ; R.D. DE Roo, Auteur ; M.A. Fischman, Auteur ; D.L. Boprie, Auteur Année de publication : 2003 Article en page(s) : pp 2211 - 2223 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] angle d'incidence
[Termes IGN] anisotropie
[Termes IGN] couvert végétal
[Termes IGN] diffusion du rayonnement
[Termes IGN] humidité du sol
[Termes IGN] maïs (céréale)
[Termes IGN] modèle de transfert radiatif
[Termes IGN] télédétection en hyperfréquenceRésumé : (Auteur) We investigate anisotropy in 1.4 GHz brightness induced by a field corn vegetation canopy. We find that both polarizations of brightness are isotropic in azimuth during most of the growing season. When the canopy is senescent, the brightness is a strong function of row direction. On the other hand, the 1.4 GHz brightness is anisotropic in elevation : an isotropic zero-order radiative transfer model could not reproduce the observed change in brightness with incidence angle. Significant scatter darkening was found. The consequence of unanticipated scatter darkening would he a wet bias in soil moisture retrievals through a combination of underestimation of soil brightness (at H-pol) and underestimation of vegetation biomass (at V-pol). A new zero-order parameterization was formulated by allowing the volume scattering coefficient to be a function of incidence angle and polarization. The small magnitude of the scattering coefficients allows the zero-order to retain its limited physical significance. Numéro de notice : A2003-350 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/IGARSS.2003.1293767 En ligne : https://doi.org/10.1109/IGARSS.2003.1293767 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26430
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 10 (October 2003) . - pp 2211 - 2223[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03101 RAB Revue Centre de documentation En réserve L003 Disponible Crop yield assessment from remote sensing / P.C. Doraiswamy in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 6 (June 2003)
[article]
Titre : Crop yield assessment from remote sensing Type de document : Article/Communication Auteurs : P.C. Doraiswamy, Auteur ; S. Moulin, Auteur ; P.W. Cook, Auteur ; A. Stern, Auteur Année de publication : 2003 Article en page(s) : pp 665 - 674 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] blé (céréale)
[Termes IGN] Dakota du Nord (Etats-Unis)
[Termes IGN] image Landsat
[Termes IGN] image NOAA-AVHRR
[Termes IGN] intégrité des données
[Termes IGN] modèle de transfert radiatif
[Termes IGN] rendement agricole
[Termes IGN] système d'information géographique
[Termes IGN] zone semi-arideRésumé : (Auteur) Monitoring crop condition and production estimates at the state and county level is of great interest to the U.S. Department of Agriculture. The National Agricultural Statistical Service (NASS) of the U.S. Department of Agriculture conducts field interviews with sampled farm operators and obtains crop cuttings to make crop yield estimates at regional and state levels. NASS needs supplemental spatial data that provides timely information on crop condition and potential yields. In this research, the crop model EPIC (Erosion Productivity Impact Calculator) was adapted for simulations at regional scales. Satellite remotely sensed data provide a real-time assessment of the magnitude and variation of crop condition parameters, and this study investigates the use of these parameters as an input to a crop growth model. This investigation was conducted in the semi-arid region of North Dakota in the southeastern part of the state. The primary objective was to evaluate a method of integrating parameters retrieved from satellite imagery in a crop growth model to simulate spring wheat yields at the sub-county and county levels. The input parameters derived from remotely sensed data provided spatial integrity, as well as a real-time calibration of model simulated parameters during the season, to ensure that the modeled and observed conditions agree. A radiative transfer model, SAIL (Scattered by Arbitrary Inclined Leaves), provided the link between the satellite data and crop model. The model parameters were simulated in a geographic information system grid, which was the platform for aggregating yields at local and regional scales. A model calibration was performed to initialize the model parameters. This calibration was performed using Landsat data over three southeast counties in North Dakota. The model was then used to simulate crop yields for the state of North Dakota with inputs derived from NOAA-AVHRR data. The calibration and the state level simulations are compared with spring wheat yields reported by NASS objective yield surveys. Numéro de notice : A2003-114 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.6.665 En ligne : https://doi.org/10.14358/PERS.69.6.665 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22410
in Photogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 6 (June 2003) . - pp 665 - 674[article]Schätzung von Vegetationsparametern aus multispektralen Fernerkundungsdaten / F. Kurz (2003)
Titre : Schätzung von Vegetationsparametern aus multispektralen Fernerkundungsdaten Titre original : [Estimation des paramètres de végétation à partir de données de télédétection multi bandes] Type de document : Thèse/HDR Auteurs : F. Kurz, Auteur Editeur : Munich : Bayerische Akademie der Wissenschaften Année de publication : 2003 Collection : DGK - C Sous-collection : Dissertationen num. 569 Importance : 101 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-3-7696-5008-2 Note générale : Bibliographie Langues : Allemand (ger) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] agriculture de précision
[Termes IGN] blé (céréale)
[Termes IGN] chlorophylle
[Termes IGN] DEADALUS
[Termes IGN] données de terrain
[Termes IGN] hétérogénéité
[Termes IGN] image DEADALUS
[Termes IGN] Leaf Area Index
[Termes IGN] matière organique
[Termes IGN] méthode robuste
[Termes IGN] modèle de transfert radiatif
[Termes IGN] programmation linéaireRésumé : (Auteur) In this thesis, a method to estimate vegetation parameters from multispectral remote sensing data using physical radiative transfer models and a small amount of ground-truth data is proposed. During two years this method has been exemplarily validated for different winter wheat fields imaged by a Daedalus ATM multispectral scanner. The focus lies on the variations of vegetation parameters within single fields. These variations allow to derive information about soil heterogeneities, which are important parameters for precision farming applications. For the estimation of vegetation parameters, physical radiative transfer models are combined with a linear empirical model and inverted with numerical optimisation methods. Ground-truth measurements are employed to reduce errors by a linear empirical fitting of the applied physical models. Results of model inversions with synthetic and real datasets show, that four vegetation parameters, leaf area index, chlorophyll content, specific dry matter, and specific water content are estimable assuming the given configuration. The strength of this method lies on the comprehensive and robust modelling, which assures reliable estimation of several vegetation parameters with a minimum number of ground-truth measurements. The accuracies of the estimated parameters are comparable with the quality of the ground-truth measurements. Numéro de notice : 13200 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=54910 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 13200-01 35.41 Livre Centre de documentation Télédétection Disponible 13200-02 35.41 Livre Centre de documentation Télédétection Disponible Simulating L-band emission of forests in view of future satellite applications / P. Ferrazzoli in IEEE Transactions on geoscience and remote sensing, vol 40 n° 12 (December 2002)PermalinkDevelopment of a solar spectro-irradiometer for the validation of remotely sensed hyperspectral images / A. Barducci (2001)PermalinkPermalinkInversion du modèle de transfert radiatif DART [discrete anisotropic radiative transfer] / P. Esteve (1998)PermalinkApport de la modélisation du transfert radiatif pour l'étude des écosystèmes forestiers par télédétection / V. Pinel (1997)PermalinkEtude des températures de l'air en fonction de l'occupation de surface, en combinant un modèle agro météorologique, des informations satellitaires et un SIG / N. Fijean (1997)PermalinkModèle de nuage pour la restitution de paramètres microphysiques à partir de données satellitaires micro-ondes / Nathalie Dejour (1997)PermalinkUne base de données et des modèles de transferts pour la spatialisation des températures de l'air en fonction de l'environnement agricole / Pascale Cauchi (1996)PermalinkMicrowave scattering and emission models and their applications / A.K. Fung (1994)PermalinkModélisation de l'émission micro-onde d'un couvert végétal / Jean-Pierre Wigneron (1993)Permalink