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Comparisons of land cover and LAI estimates derived from ETM+ and MODIS for four sites in North America: a quality assessment of 2000/2001 provisional MODIS / W.B. Cohen in Remote sensing of environment, vol 88 n° 3 (15/12/2003)
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Titre : Comparisons of land cover and LAI estimates derived from ETM+ and MODIS for four sites in North America: a quality assessment of 2000/2001 provisional MODIS Type de document : Article/Communication Auteurs : W.B. Cohen, Auteur ; T.K. Maiersperger, Auteur ; S.T. Gower, Auteur ; S.W. Running, Auteur ; et al., Auteur Année de publication : 2003 Article en page(s) : pp 233 - 255 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Advanced Very High Resolution Radiometer
[Termes IGN] agriculture
[Termes IGN] analyse comparative
[Termes IGN] forêt
[Termes IGN] image Landsat-ETM+
[Termes IGN] Leaf Area Index
[Termes IGN] Moderate Resolution Imaging Spectroradiometer
[Termes IGN] occupation du solRésumé : (Auteur) The MODIS land science team produces a number of standard products, including land cover and leaf area index (LAI). Critical to the success of MODIS and other sensor products is an independent evaluation of product quality. In that context, we describe a study using field data and Landsat ETM+ to map land cover and LAI at four 49-km2 sites in North America containing agricultural cropland (AGRO), prairie grassland (KONZ), boreal needleleaf forest, and temperate mixed forest. The purpose was to: (1) develop accurate maps of land cover, based on the MODIS IGBP (International Geosphere-Biosphere Programme) land cover classification scheme; (2) derive continuous surfaces of LAI that capture the mean and variability of the LAI field measurements; and (3) conduct initial MODIS validation exercises to assess the quality of early (i.e., provisional) MODIS products. ETM+ land cover maps varied in overall accuracy from 81% to 95%. The boreal forest was the most spatially complex, had the greatest number of classes, and the lowest accuracy. The intensive agricultural cropland had the simplest spatial structure, the least number of classes, and the highest overall accuracy. At each site, mapped LAI patterns generally followed patterns of land cover across the site. Predicted versus observed LAI indicated a high degree of correspondence between field-based measures and ETM+ predictions of LAI. Direct comparisons of ETM+ land cover maps with Collection 3 MODIS cover maps revealed several important distinctions and similarities. One obvious difference was associated with image/map resolution. ETM+ captured much of the spatial complexity of land cover at the sites. In contrast, the relatively coarse resolution of MODIS did not allow for that level of spatial detail. Over the extent of all sites, the greatest difference was an overprediction by MODIS of evergreen needleleaf forest cover at the boreal forest site, which consisted largely of open shrubland, woody savanna, and savanna. At the agricultural, temperate mixed forest, and prairie grassland sites, ETM+ and MODIS cover estimates were similar. Collection 3 MODISbased LAI estimates were considerably higher (up to 4m2 4m-2) than those based on ETM+ LAI at each site. There are numerous probable reasons for this, the most important being the algorithms' sensitivity to MODIS reflectance calibration, its use of a prelaunch AVHRR-based land cover map, and its apparent reliance on mainly red and near-IR reflectance. Samples of Collection 4 LAI products were examined and found to consist of significantly improved LAI predictions for KONZ, and to some extent for AGRO, but not for the other two sites. In this study, we demonstrate that MODIS reflectance data are highly correlated with LAI across three study sites, with relationships increasing in strength from 500 to 1000 m spatial resolution, when shortwave-infrared bands are included. Numéro de notice : A2003-345 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2003.06.006 En ligne : https://doi.org/10.1016/j.rse.2003.06.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26425
in Remote sensing of environment > vol 88 n° 3 (15/12/2003) . - pp 233 - 255[article]Snow-cover mapping in forest by constrained linear spectral unimixing of MODIS data / D. Vikhamar in Remote sensing of environment, vol 88 n° 3 (15/12/2003)
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Titre : Snow-cover mapping in forest by constrained linear spectral unimixing of MODIS data Type de document : Article/Communication Auteurs : D. Vikhamar, Auteur ; R. Solberg, Auteur Année de publication : 2003 Article en page(s) : pp 309 - 323 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] cartographie thématique
[Termes IGN] classification
[Termes IGN] forêt
[Termes IGN] image Terra-MODIS
[Termes IGN] neigeRésumé : (Auteur) A snow-cover mapping method accounting for forests (SnowFrac) is presented. SnowFrac uses spectral unmixing and endmember constraints to estimate the snow-cover fraction of a pixel. The unmixing is based on a linear spectral mixture model, which includes endmembers for snow, conifer, branches of leafless deciduous trees and snow-free ground. Model input consists of a land-cover fraction map and endmember spectra. The landcover fraction map is applied in the unmixing procedure to identify the number and types of endmembers for every pixel, but also to set constraints on the area fractions of the forest endmembers. SnowFrac was applied on two Terra Moderate Resolution Imaging Spectroradiometer (MODIS) images with different snow conditions covering a forested area in southern Norway. Six experiments were carried out, each with different endmember constraints. Estimated snow-cover fractions were compared with snow-cover fraction reference maps derived from two Landsat Enhanced Thematic Mapper Plus (ETM+) images acquired the same days as the MODIS images. Results are presented for non-forested areas, deciduous forests, coniferous forests and mixed deciduous/coniferous forests. The snow-cover fraction estimates are enhanced by increasing constraints introduced to the unmixing procedure. The classification accuracy shows that 96% of the pixels are classified with less than 20% error (absolute units) on 7 May 2001 when all forested and non-forested areas are included. The corresponding figure for 4 May 2000 is 88%. Numéro de notice : A2003-347 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2003.06.004 En ligne : https://doi.org/10.1016/j.rse.2003.06.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26427
in Remote sensing of environment > vol 88 n° 3 (15/12/2003) . - pp 309 - 323[article]Mangrove research and coastal ecosystem studies with SPOT-4 HRVIR and TERRA ASTER in the Arabian Gulf / Hideo Saito in International Journal of Remote Sensing IJRS, vol 24 n° 21 (November 2003)
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Titre : Mangrove research and coastal ecosystem studies with SPOT-4 HRVIR and TERRA ASTER in the Arabian Gulf Type de document : Article/Communication Auteurs : Hideo Saito, Auteur ; M.F. Bellan, Auteur ; A. Al-Habshi, Auteur ; et al., Auteur Année de publication : 2003 Article en page(s) : pp 4073 - 4092 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Abou Dabi
[Termes IGN] cartographie thématique
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] détection de changement
[Termes IGN] Doubaï
[Termes IGN] écosystème
[Termes IGN] Emirats Arabes Unis
[Termes IGN] image SPOT-HRVIR
[Termes IGN] image Terra-ASTER
[Termes IGN] littoral
[Termes IGN] mangrove
[Termes IGN] Persique, golfe
[Termes IGN] surveillance écologique
[Termes IGN] zone tropicale humideRésumé : (Auteur) Mangroves reach their optimal development in the wet tropics although some little known mangrove stands are reported in subtropical arid coastlines especially from the Red Sea to Pakistan where they form one of the driest mangrove habitats in the world. Because they constitute the only available evergreen forest in hyperarid warm coastal areas, the main wetlands for migratory birds and essential nursery ground for many species of fish, it Is imperative to produce a sufficiently accurate map for monitoring their changes and for their protection. The main objective of the present work is to test and to select the best methodological approach to discriminate and map the mangroves and related coastal ecosystems in the United Arab Emirates (UAE). between Abu Dhabi and Dubai, a coastal stretch about 750km long. It was found that the best practical results were produced by the Maximum Likelihood and Mahalanobis classifications although some limitations remain unsolved, especially in open ecosystems, which are common in arid areas. Moreover, SPOT4 HighResolution Visible InfraRed (HRVIR) data proves at least as efficient as TERRA ASTER data, in spite of a slightly finer ground resolution and the great number of channels for ASTER. Ultimately, the most appropriate working scale for mapping coastal habitats, compatible with pixel size, is in the order of 1/25 000. Numéro de notice : A2003-302 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116021000035030 En ligne : https://doi.org/10.1080/0143116021000035030 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22598
in International Journal of Remote Sensing IJRS > vol 24 n° 21 (November 2003) . - pp 4073 - 4092[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-03211 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Linear features extraction in rain forest context from interferometric SAR images by fusion of coherence and amplitude information / V.P. Onana in IEEE Transactions on geoscience and remote sensing, vol 41 n° 11 (November 2003)
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Titre : Linear features extraction in rain forest context from interferometric SAR images by fusion of coherence and amplitude information Type de document : Article/Communication Auteurs : V.P. Onana, Auteur ; Emmanuel Trouvé, Auteur ; G. Mauris, Auteur ; Jean-Paul Rudant , Auteur ; E. Tonye, Auteur
Année de publication : 2003 Article en page(s) : pp 2540 - 2556 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] Cameroun
[Termes IGN] classification barycentrique
[Termes IGN] classification floue
[Termes IGN] détection de contours
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] forêt tropicale
[Termes IGN] fusion d'images
[Termes IGN] image ERS-SAR
[Termes IGN] image radar moirée
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] littoral
[Termes IGN] mangrove
[Termes IGN] objet géographique linéaireRésumé : (Auteur) This paper presents an almost unsupervised fusion algorithm on linear features (LF) extraction in synthetic aperture radar (SAR) interferometric data, in particular for mangroves/shorelines and thin internal channels. The spatial information on LFs is first extracted in the coherence image, where they are wider and more visible : water regions (in particular thin internal channels) are dark areas (low coherence) due to the temporal decorrelation of backscattering signals in these and surrounding regions, whereas conventional vegetation regions are brighter areas (high coherence). These approximate locations of LFs are further refined by using the edge map coming from a semantic fuzzy fusion of the coefficient of variation (CV) and the ratio of local means (RLM) measured in the amplitude image. The final detection of LFs is then performed by merging the two fuzzy inputs : the spatial information and the edge location map. The membership degree statistics of CV and RLM semantic fusion measures are introduced in order to illustrate the location detection ability. The originality of this method in comparison with conventional approaches is in the fusion scheme that follows the interpreter behavior by using first the coherence image for a fuzzy detection where thin LFs are more visible, but have low location accuracy, and then the amplitude image where they are poorly visible, but with higher location accuracy, to obtain improved results. A quantitative performance evaluation is also presented. The method has been applied on real interferometric SAR images from European Remote Sensing satellites over the western part of Cameroon. Numéro de notice : A2003-321 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.818383 En ligne : https://doi.org/10.1109/TGRS.2003.818383 Format de la ressource électronique : URl article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22617
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 11 (November 2003) . - pp 2540 - 2556[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03111 RAB Revue Centre de documentation En réserve L003 Disponible Cartographie des dépôts atmosphériques en France : deux approches pour les premières cartes nationales / L. Croise in Géomatique expert, n° 27 (01/09/2003)
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Titre : Cartographie des dépôts atmosphériques en France : deux approches pour les premières cartes nationales Type de document : Article/Communication Auteurs : L. Croise, Auteur ; E. Ulrich, Auteur ; et al., Auteur Année de publication : 2003 Article en page(s) : pp 19 - 25 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Cartographie thématique
[Termes IGN] carte thématique
[Termes IGN] écosystème
[Termes IGN] forêt
[Termes IGN] géostatistique
[Termes IGN] méthode déterministe
[Termes IGN] polluant
[Termes IGN] pollution atmosphérique
[Termes IGN] précipitationRésumé : (Auteur) Ce travail, original en France, répond à une demande de la Commission Economique Européenne des Nations Unies (CEE-ONU) qui a besoin d'outils performants d'évaluation : des dépôts atmosphériques les plus précis possibles ; et surtout des dépassements des charges critiques d'acidité, pour définir de manière la plus réaliste possible les prochains protocoles de réduction d'émission de polluants atmosphériques. Numéro de notice : A2003-244 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73723
in Géomatique expert > n° 27 (01/09/2003) . - pp 19 - 25[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 265-03061 RAB Revue Centre de documentation En réserve L003 Disponible DTM extraction of Lidar returns via adaptive processing / H.S. Lee in IEEE Transactions on geoscience and remote sensing, vol 41 n° 9 (September 2003)
PermalinkValeur phytoécologique et biologique des ripisylves méditerranéennes / Pierre Quézel in Forêt méditerranéenne, vol 24 n° 3 (septembre 2003)
PermalinkRadar imaging of moving targets in foliage using multifrequency multiaperture polarimetric SAR / G. Wang in IEEE Transactions on geoscience and remote sensing, vol 41 n° 8 (August 2003)
PermalinkAnalysis of hyperspectral data for estimation of temperate forest canopy nitrogen concentration: Comparison between an Airborne (AVIRIS) and a spaceborne (Hyperion) sensor / M.L. Smith in IEEE Transactions on geoscience and remote sensing, vol 41 n° 6 (June 2003)
PermalinkProcessing Hyperion and ALI for forest classification / D.G. Goodenough in IEEE Transactions on geoscience and remote sensing, vol 41 n° 6 (June 2003)
PermalinkLes indicateurs de gestion forestière durable à l'échelle nationale / Nabila Hamza ; Gérôme Pignard in Forêt entreprise, n° 150 (2003/2)
PermalinkThe potential of virtual reality technology for analysis of remotely sensed data: a Lidar case study / T. Warner in Geocarto international, vol 18 n° 1 (March - May 2003)
PermalinkTrue ortho-image production for forested areas from large-scale aerial photographs / Y. Sheng in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 3 (March 2003)
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