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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)
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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]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-07021 RAB Revue Centre de documentation En réserve L003 Disponible Validation of MERIS Level-2 products in the Baltic Sea, the Namibian coastal area and the Atlantic Ocean / T. Ohde in International Journal of Remote Sensing IJRS, vol 28 n°3-4 (February 2007)
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Titre : Validation of MERIS Level-2 products in the Baltic Sea, the Namibian coastal area and the Atlantic Ocean Type de document : Article/Communication Auteurs : T. Ohde, Auteur ; H. Siegel, Auteur ; M. Gerth, Auteur Année de publication : 2007 Article en page(s) : pp 609 - 624 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] Atlantique (océan)
[Termes IGN] Baltique, mer
[Termes IGN] données de terrain
[Termes IGN] image Envisat-MERIS
[Termes IGN] Indien (océan)
[Termes IGN] littoral
[Termes IGN] Namibie
[Termes IGN] océan
[Termes IGN] réflectance de surface
[Termes IGN] validation des donnéesRésumé : (Auteur) Measurements of water-leaving reflectance and optically active water constitu-ents in the Baltic Sea, the Namibian coastal area and the Atlantic Ocean were performed to validate MERIS Level-2 products. Two different validation methods were applied with the recommended match-up analysis based on comparison of in situ measurements with MERIS Level-2 products of simultaneous Envisat overpasses and the second analysis on comparison of natural variation ranges with derived MERIS product ranges. The MERIS water-leaving reflectances correlate to in situ shapes and magnitudes in all investigated areas. The comparison shows mean deviations of MERIS reflectances between 23% and 26% for the current official instrument processing facility (IFF 4.07) but only 20% for the prototype version 7.0 up to now only available to the validation team. The comparison of water constituents shows the underestimation of MERIS ALGAL_2 index, YSBPA and TSM in turbid waters of the Baltic Sea of the current instrument processing facility (IFF 4.07). The mean MERIS ALGAL_1 index is close to in situ values but the mean MERIS ALGAL_2 index, the MERIS YSBPA and MERIS TSM products are still too low in Namibian coastal areas for the prototype version 7.0. The investigations demonstrate the quality improvement of all MERIS Level-2 products from the current official instrument processing facility to the prototype version 7.0. Copyright Taylor & Francis Numéro de notice : A2007-091 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600972961 En ligne : https://doi.org/10.1080/01431160600972961 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28456
in International Journal of Remote Sensing IJRS > vol 28 n°3-4 (February 2007) . - pp 609 - 624[article]Réservation
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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)
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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)
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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]
Titre : Classification of biodiversity in Doi Inthanon national parc Type de document : Mémoire Auteurs : H. Draux, Auteur Editeur : Champs-sur-Marne : Ecole nationale des sciences géographiques ENSG Année de publication : 2007 Importance : 37 p. Format : 21 x 30 cm Note générale : Report of multi-field projet, cycle des ingénieurs diplômés de l'ENSG 2ème année (IT2) Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse spatiale
[Termes IGN] biodiversité
[Termes IGN] carte thématique
[Termes IGN] classification automatique
[Termes IGN] correction d'image
[Termes IGN] image Landsat
[Termes IGN] image SPOT 5
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] Normalized Difference Water Index
[Termes IGN] parc naturel national
[Termes IGN] ThaïlandeIndex. décimale : PROJET Mémoires : Rapports de projet - stage des ingénieurs de 2e année Résumé : (Auteur) Ce document est le résultat d'un stage de trois mois effectué de Juin à Août 2007 au sein de la GISDTA à Bangkok (Thaïlande), dans le cadre de la seconde année du cycle d'Ingénieur de l'ENSG. Son objectif était de mieux comprendre la biodiversité existante dans le parc national "Doi Inthanon", en réalisant une classification de la zone à partir d'images satellites issues des capteurs des satellites de SPOT-5 et Landsat 5, ainsi que d'écrire un modèle capable de décrire les composantes des différentes classes. Note de contenu : Introduction
1. Inventory of the data
1. Satellite images
2. Data collected into the field
3. Thai forests
3.1. Characteristics
3.2. Distribution
2. Data processing
1. SPOT-5
2. LANDSAT 5
2.1. Geo-referencing
2.2. Model maker
3. Classifications
3.1. Manual classification
3.1.a. Segmentation
3.1.b. Choices
3.2. Automatic classification
3.2.a. Result
3.2.b. Comparison between the visual classification and the model
3. Interpretations
1. Indexes
1.1. Normalized Difference Vegetation Index (NDVI)
1.2. Temperature
1.3. Water Index
1.4. Model
2. Biodiversity
3. Propositions to improve the model
ConclusionNuméro de notice : 19125 Affiliation des auteurs : IGN (1940-2011) Thématique : BIODIVERSITE/IMAGERIE Nature : Mémoire de projet pluridisciplinaire Organisme de stage : Geo-Informatics and Space Technology Development Agency (Thailande) Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=51064 Réservation
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