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Estimating atmospheric transmission and surface reflectance from a glint-contaminated spectral image / W. Philpot in IEEE Transactions on geoscience and remote sensing, vol 45 n° 2 (February 2007)
[article]
Titre : Estimating atmospheric transmission and surface reflectance from a glint-contaminated spectral image Type de document : Article/Communication Auteurs : W. Philpot, Auteur Année de publication : 2007 Article en page(s) : pp 448 - 457 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] exitance spectrale
[Termes IGN] image spectrale
[Termes IGN] modèle atmosphérique
[Termes IGN] pixel
[Termes IGN] rayonnement solaire
[Termes IGN] réflectance de surface
[Termes IGN] réfraction atmosphérique
[Termes IGN] scintillationRésumé : (Auteur) Sun glint obscures the radiance originating from within the water, but it also mirrors the solar radiance after transmission through the atmosphere. The difference between a glint-contaminated pixel and a nearby nonglint pixel from a spectral image prior to atmospheric correction yields a direct estimate of the spectral transmission of solar radiance which can then be used both to confirm atmospheric models and to retrieve an estimate of remote sensing reflectance. Copyright IEEE Numéro de notice : A2007-079 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.887161 En ligne : https://doi.org/10.1109/TGRS.2006.887161 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28444
in IEEE Transactions on geoscience and remote sensing > vol 45 n° 2 (February 2007) . - pp 448 - 457[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 065-07021 RAB Revue Centre de documentation En réserve L003 Disponible 065-07022 RAB Revue Centre de documentation En réserve L003 Disponible Regional products for the Baltic Sea using MERIS data / H. Krawczyk in International Journal of Remote Sensing IJRS, vol 28 n°3-4 (February 2007)
[article]
Titre : Regional products for the Baltic Sea using MERIS data Type de document : Article/Communication Auteurs : H. Krawczyk, Auteur ; A. Neumann, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 593 - 608 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Baltique, mer
[Termes IGN] chlorophylle
[Termes IGN] données de terrain
[Termes IGN] eaux côtières
[Termes IGN] estimation statistique
[Termes IGN] image Envisat-MERIS
[Termes IGN] littoral
[Termes IGN] qualité des eaux
[Termes IGN] réflectance
[Termes IGN] sédiment
[Termes IGN] temps réelRésumé : (Auteur) For many questions of the coastal zone management, the knowledge on the biological and ecological state of coastal waters is of high importance. Due to the complexity of this water type, characterized by different classes of water constituents, a sophisticated methodology needs to be applied for quantitative remote sensing. Within the MAPP-Project (MERIS Applications and Regional Products Project) a specific remote sensing interpretation algorithm was developed for the regional assessment of water constituents in the Baltic Sea. This is a part of the ESA Cat-1 proposal ID 1413 GEMEL-3 ("Generation of MERIS Level-3 products for European multidisciplinary regional applications"). The operational implementation in a MERIS-value-adding system allows a near real-time estimation of chlorophyll sediment and gelbstoff concentrations on a regular basis. The algorithm, based on a principal component inversion (PCI) technique and the model will be introduced. The applicability of the model will be demonstrated on a couple of comparisons of MERIS reflectances and in-situ measurements. The potential of the model shall be demonstrated on available MERIS data. Copyright Taylor & Francis Numéro de notice : A2007-090 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600815558 En ligne : https://doi.org/10.1080/01431160600815558 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28455
in International Journal of Remote Sensing IJRS > vol 28 n°3-4 (February 2007) . - pp 593 - 608[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-07021 RAB Revue Centre de documentation En réserve L003 Disponible Evaluating NDVI-based emissivities of MODIS bands 31 and 32 using emissivities derived by day/night LST algorithm / M. Momeni in Remote sensing of environment, vol 106 n° 2 (30/01/2007)
[article]
Titre : Evaluating NDVI-based emissivities of MODIS bands 31 and 32 using emissivities derived by day/night LST algorithm Type de document : Article/Communication Auteurs : M. Momeni, Auteur ; M.R. Saradjan, Auteur Année de publication : 2007 Article en page(s) : pp 190 - 198 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] bande spectrale
[Termes IGN] écart type
[Termes IGN] emissivité
[Termes IGN] erreur systématique
[Termes IGN] image Terra-MODIS
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] occupation du sol
[Termes IGN] régression linéaire
[Termes IGN] seuillage d'image
[Termes IGN] température au sol
[Termes IGN] température de surface
[Termes IGN] variation diurne
[Termes IGN] zone arideRésumé : (Auteur) Surface emissivity estimation is a significant factor for the land surface temperature estimation from remotely sensed data. For fully vegetated surfaces, the emissivity estimation is performed in a simple manner since the emissivity is relatively uniform. However, for arid land with sparse vegetation, the estimation is more complicated since the emissivity of the exposed soil and rock is highly variable. In this study, mean and difference emissivity for bands 31 and 32 of MODIS sensor have been derived based on NDVI values. First, the NDVI thresholds have been determined to separate bare soil, partially vegetated soil and fully vegetated land. Then regression relations have been derived to estimate mean and difference emissivity of the bare soil samples and partially vegetated surfaces. A constant emissivity is also used for fully vegetated area. Along with the correlations, standard deviations of the regression relations have been examined for a set of representative soil types. Standard deviations smaller than 0.003 in mean emissivity and smaller than 0.004 in difference emissivity are resulted in regression linear relations. Evaluation of the NDVI derived regression relations has been performed using the results of MODIS Day/Night Land Surface Temperature (LST) algorithm on a pair of MODIS images. Using around 45,500 pixels with different soil and land cover types, emissivity of each pixel in bands 31 and 32 have been estimated. The calculated emissivities have been compared with emissivities calculated by MODIS Day/Night LST algorithm. Biases and standard deviations of NDVI-based relations show relatively high agreement for mean and difference emissivity relations with Day/Night method results. It may be concluded that the proposed algorithm can be used as a rather simple alternative to complex emissivity estimation algorithms. Copyright Elsevier Numéro de notice : A2007-021 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.08.005 En ligne : https://doi.org/10.1016/j.rse.2006.08.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28387
in Remote sensing of environment > vol 106 n° 2 (30/01/2007) . - pp 190 - 198[article]Reflectance seasonality and its relation to the canopy leaf area index in an eastern Siberian larch forest: Multi-satellite data and radiative transfer analyses / H. Kobayashi in Remote sensing of environment, vol 106 n° 2 (30/01/2007)
[article]
Titre : Reflectance seasonality and its relation to the canopy leaf area index in an eastern Siberian larch forest: Multi-satellite data and radiative transfer analyses Type de document : Article/Communication Auteurs : H. Kobayashi, Auteur ; R. Suzuki, Auteur ; S. Kobayashi, Auteur Année de publication : 2007 Article en page(s) : pp 238 - 252 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] analyse diachronique
[Termes IGN] canopée
[Termes IGN] changement climatique
[Termes IGN] forêt boréale
[Termes IGN] image NOAA-AVHRR
[Termes IGN] image SPOT-Végétation
[Termes IGN] image Terra-MODIS
[Termes IGN] Leaf Area Index
[Termes IGN] méthode de Monte-Carlo
[Termes IGN] modèle de transfert radiatif
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] Pinophyta
[Termes IGN] rayonnement proche infrarouge
[Termes IGN] réflectance spectrale
[Termes IGN] Russie
[Termes IGN] Sibérie
[Termes IGN] surveillance forestière
[Termes IGN] variation saisonnièreRésumé : (Auteur) Reliable monitoring of seasonality in the forest canopy leaf area index (LAI) in Siberian forests is required to advance the understanding of climate–forest interactions under global environmental change and to develop a forest phenology model within ecosystem modeling. Here, we compare multi-satellite (AVHRR, MODIS, and SPOT/VEGETATION) reflectance, normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), and LAI with aircraft-based spectral reflectance data and field-measured forest data acquired from April to June in 2000 in a larch forest near Yakutsk, Russia. Field data in a 30 x 30-m study site and aircraft data observed around the field site were used. Larch is a dominant forest type in eastern Siberia, but comparison studies that consider multi-satellite data, aircraft-based reflectance, and field-based measurement data are rarely conducted. Three-dimensional canopy radiative transfer calculations, which are based on Antyufeev and Marshak's [Antyufeev, V.S., & Marshak, A.L. (1990). Monte Carlo method and transport equation in plant canopies, Remote Sensing of Environment, 31, 183–191] Monte Carlo photon transport method combined with North's [North, P.R. (1996). Three-dimensional forest light interaction model using a Monte Carlo method, IEEE Transactions on Geoscience and Remote Sensing, 34(4), 946–956] geometric-optical hybrid forest canopy scene, helped elucidate the relationship between canopy reflectance and forest structural parameters, including several forest floor conditions. Aircraft-based spectral measurements and the spectral response functions of all satellite sensors confirmed that biases in reflectance seasonality caused by differences in spectral response functions among sensors were small. However, some reflectance biases occur among the near infrared (NIR) reflectance data from satellite products; these biases were potentially caused by absolute calibration errors or cloud/cloud shadow contamination. In addition, reflectance seasonality in AVHRR-based NIR data was very small compared to other datasets, which was partially due to the spring-to-summer increase in the amount of atmospheric water vapor. Radiative transfer simulations suggest that bidirectional reflectance effects were small for the study site and observation period; however, changes in tree density and forest floor conditions affect the absolute value of NIR reflectance, even if the canopy leaf area condition does not change. Reliable monitoring of canopy LAI is achieved by minimizing these effects through the use of NIR reflectance difference, i.e., the difference in reflectance on the observation day from the reflectance on a snow-free/pre-foliation day. This may yield useful and robust parameters for multi-satellite monitoring of the larch canopy LAI with less error from intersensor biases and forest structure/floor differences. Further validation with field data and combined use of other index (e.g. normalized difference water index, NDWI) data will enable an extension of these findings to all Siberian deciduous forests. Copyright Elsevier Numéro de notice : A2007-022 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.08.011 En ligne : https://doi.org/10.1016/j.rse.2006.08.011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28388
in Remote sensing of environment > vol 106 n° 2 (30/01/2007) . - pp 238 - 252[article]Comparison of L- and X-band PolSAR data for characterization of polarization orientation angle shift induced by man-made structure / K. Iribe (2007)
Titre : Comparison of L- and X-band PolSAR data for characterization of polarization orientation angle shift induced by man-made structure Type de document : Article/Communication Auteurs : K. Iribe, Auteur ; M. Sato, Auteur Editeur : Paris : Agence Spatiale Européenne ASE / European Space Agency ESA Année de publication : 2007 Collection : ESA Specialist Panel, ISSN 1609-042X num. 644 Conférence : POLinSAR 2007, 3rd International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry 22/01/2007 26/01/2007 Frascati Italie OA Proceedings Importance : 6 p. Format : 21 x 30 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] analyse comparative
[Termes IGN] bande L
[Termes IGN] bande X
[Termes IGN] détail topographique artificiel
[Termes IGN] données polarimétriques
[Termes IGN] image radar moirée
[Termes IGN] Japon
[Termes IGN] milieu urbain
[Termes IGN] polarimétrie radar
[Termes IGN] polarisation
[Termes IGN] SendaïRésumé : (Auteur) In this paper, we offer an overview of the frequency characteristics on the polarization orientation angle shifts induced by Man-made structures. Nowadays, it is recognized that this parameter is closely related to the target azimuth slope. The algorithm to estimate the orientation angle shifts from polarimetric SAR data of urban area was suggested. By means of this algorithm, we compare longer wavelength L-band and shorter wavelength X-band polarimetric SAR measurements over the same area to understand what useful information can be derived from these measurements. In addition, we examine the similarities and differences of these datasets acquired with different frequency bands. The overview is demonstrated by JAXA L-band and NICT X-band Pi-SAR data over Sendai city, Japan. Numéro de notice : 13579 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Communication DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64265 Documents numériques
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