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Comparison and validation of MODIS and VEGETATION global LAI products over four BigFoot sites in North America / J. Pisek in Remote sensing of environment, vol 109 n° 1 (12 July 2007)
[article]
Titre : Comparison and validation of MODIS and VEGETATION global LAI products over four BigFoot sites in North America Type de document : Article/Communication Auteurs : J. Pisek, Auteur ; Jing M. Chen, Auteur Année de publication : 2007 Article en page(s) : pp 81 - 94 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Amérique du nord
[Termes IGN] analyse comparative
[Termes IGN] image SPOT-Végétation
[Termes IGN] image Terra-MODIS
[Termes IGN] Leaf Area Index
[Termes IGN] limite de résolution géométriqueRésumé : (Auteur) A new set of recently developed leaf area index (LAI) algorithms has been employed for producing a global LAI dataset at 1 km resolution and in time-steps of 10 days, using data from the Satellite pour l'observation de la terre (SPOT) VEGETATION (VGT) sensor. In this paper, this new LAI product is compared with the global MODIS Collection 4 LAI product over four validation sites in North America. The accuracy of both LAI products is assessed against seven high resolution ETM+ LAI maps derived from field measurements in 2000, 2001, and 2003. Both products were closely matched outside growing season. The MODIS product tended to be more variable than the VGT product during the summer period when the LAI was maximum. VGT and ETM+ LAI maps agreed well at three out of the four sites. The median relative absolute error of the VGT LAI product varied from 24% to 75% at 1 km scale and it ranged from 34% to 88% for the MODIS LAI product. The importance of correcting field measurements for the clumping effect is illustrated at the deciduous broadleaf forest site (HARV). Inclusion of the sub-pixel land cover information improved the quality of LAI estimates for the prairie grassland KONZ site. Further improvement of the global VGT LAI product is suggested by production and inclusion of pixel-specific global foliage clumping index and forest background reflectance maps that would serve as an input into the VGT LAI algorithms. Copyright Elsevier Numéro de notice : A2007-302 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.12.004 En ligne : https://doi.org/10.1016/j.rse.2006.12.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28665
in Remote sensing of environment > vol 109 n° 1 (12 July 2007) . - pp 81 - 94[article]Inundation distances and run-up measurements from ASTER, QuickBird and SRTM data, Aceh coast, Indonesia / B.G. Mcadoo in International Journal of Remote Sensing IJRS, vol 28 n° 13-14 (July 2007)
[article]
Titre : Inundation distances and run-up measurements from ASTER, QuickBird and SRTM data, Aceh coast, Indonesia Type de document : Article/Communication Auteurs : B.G. Mcadoo, Auteur ; N. Richardson, Auteur ; J. Borreros, Auteur Année de publication : 2007 Article en page(s) : pp 2961 - 2975 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] image Quickbird
[Termes IGN] image SRTM
[Termes IGN] image Terra-ASTER
[Termes IGN] Indonésie
[Termes IGN] inondation
[Termes IGN] MNS SRTM
[Termes IGN] modèle numérique de surface
[Termes IGN] risque naturel
[Termes IGN] séisme
[Termes IGN] tsunamiRésumé : (Auteur) The massive 26 December 2004 earthquake and tsunami affected a large geographic region in the Indian Ocean basin, hitting Indonesia's Aceh province on the island of Sumatra particularly hard. In this study, tsunami inundation distances and run-up elevations on the NW Sumatran coast are assessed at a regional scale using remotely sensed data (ASTER, QuickBird and SRTM). Using satellite data in disaster zones allows tsunami scientists to access data in difficult areas (logistically and politically), along with the other benefits that such data has to offer (e.g. spectral and spatial). Field work rapidly following the tsunami allowed the collection of samples, elevation data and other information through interviews with survivors that validated the remotely sensed observations. Median run-up elevations extracted from SRTM and ASTER generated digital elevation models (DEMs) for the Banda Aceh area were 16 m and 9.7 m above sea level respectively, and field measurements averaged 9 m. In Meulaboh, median run-up elevations were 9 m (SRTM) and 6.6 m (ASTER) which are close to the 10-15 m range determined in the field. Run-up elevations at Jantang have a bimodal distribution with peaks that correspond to inundation limits in the floodplains (~10 m in both the SRTM and ASTER data) and cliffs (32 m in the ASTER and less well-defined in the SRTM data). Slope maps generated from SRTM and ASTER DEMs show that the inundation limit rarely exceeds slopes of 4°. Using the Aceh area as a control, SRTM and ASTER data and the range of possible products derived from them is here taken as potential suitable tool for computer inundation models that aid in evacuation planning. Copyright Taylor & Francis Numéro de notice : A2007-337 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160601091795 En ligne : https://doi.org/10.1080/01431160601091795 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28700
in International Journal of Remote Sensing IJRS > vol 28 n° 13-14 (July 2007) . - pp 2961 - 2975[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-07081 RAB Revue Centre de documentation En réserve L003 Disponible Feature extraction of hyperspectral images using wavelet and matching pursuit / Pai-Hui Hsu in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 2 (June 2007)
[article]
Titre : Feature extraction of hyperspectral images using wavelet and matching pursuit Type de document : Article/Communication Auteurs : Pai-Hui Hsu, Auteur Année de publication : 2007 Article en page(s) : pp 78 - 92 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] extraction automatique
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] image AVIRIS
[Termes IGN] image hyperspectrale
[Termes IGN] transformation en ondelettesRésumé : (Auteur) Since hyperspectral images contain rich and fine spectral information, an improvement of land use/cover classification accuracy is highly expected from the utilization of such images. However, the traditional statistics-based classification methods which have been successfully applied to multispectral data in the past are not as effective as to hyperspectral data. One major reason is that the number of spectral bands is too large relative to the number of training samples. This problem is caused by curse of dimensionality, which refers to the fact that the sample size required for training a specific classifier grows exponentially with the number of spectral bands. A simple but sometimes very effective way to overcome this problem is to reduce the dimensionality of hyperspectral images. This can be done by feature extraction that a small number of salient features are extracted from the hyperspectral data when confronted with a limited size of training samples. In this paper, a new feature extraction method based on the matching pursuit (MP) is proposed to extract useful features for the classification of hyperspectral images. The matching pursuit algorithm uses a greedy strategy to find an adaptive and optimal representation of the hyperspectral data iteratively from a highly redundant wavelet packets dictionary. An AVIRIS data set was tested to illustrate the classification performance after matching pursuit method was applied. In addition, some existing feature extraction methods based on the wavelet transform are also compared with the matching pursuit method in terms of the classification accuracies. The experiment results showed that the wavelet and matching pursuit method exactly provide an effective tool for feature extraction. The classification problem caused by curse of dimensionality can be avoided by matching pursuit and wavelet-based dimensionality reduction. Copyright ISPRS Numéro de notice : A2007-256 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2006.12.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2006.12.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28619
in ISPRS Journal of photogrammetry and remote sensing > vol 62 n° 2 (June 2007) . - pp 78 - 92[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-07041 SL Revue Centre de documentation Revues en salle Disponible Integrated use of SRM, Landsat ETM+ data and 3D perspective views to identify the tectonic geomorphology of Dehradun valley, India / A.K. Singh in International Journal of Remote Sensing IJRS, vol 28 n°11-12 (June 2007)
[article]
Titre : Integrated use of SRM, Landsat ETM+ data and 3D perspective views to identify the tectonic geomorphology of Dehradun valley, India Type de document : Article/Communication Auteurs : A.K. Singh, Auteur ; B. Parkash, Auteur ; P.R. Choudhury, Auteur Année de publication : 2007 Article en page(s) : pp 2403 - 2414 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] carte géomorphologique
[Termes IGN] géomorphologie locale
[Termes IGN] image Landsat-ETM+
[Termes IGN] Inde
[Termes IGN] modèle numérique de terrain
[Termes IGN] ombre
[Termes IGN] perspective
[Termes IGN] tectonique
[Termes IGN] vallée
[Termes IGN] visualisation 3DRésumé : (Auteur) The present study aims to develop an integrated shaded relief model (SRM), remote sensing image and three-dimensional (3D) perspective view based approach for delineating tectonic geomorphology of the Dehradun Intermontane valley, India. SRM created from digital elevation model (DEM) actually represents the information of the bare ground surface without any surface cover such as vegetation and landuse. Under user-specified positions of the sun, this was useful in enhancing the lineaments. This, coupled with Landsat ETM+ data and 3D perspective views has proven to be a very good tool for the identification of geological features. In a hilly terrain, like the present area, having dense forest cover, many places are inaccessible and geological field mapping is quite difficult. This approach successfully identified tectonic geomorphological features like faults, alluvial fans and terraces in the present area. Comparison of the identified faults and geomorphic features with published work and field checks reveals that this method of mapping can reduce the time and effort required in fieldwork to a large extent. Numéro de notice : A2007-308 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600993397 En ligne : https://doi.org/10.1080/01431160600993397 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28671
in International Journal of Remote Sensing IJRS > vol 28 n°11-12 (June 2007) . - pp 2403 - 2414[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-07071 RAB Revue Centre de documentation En réserve L003 Disponible Mapping of salt-affected soils using TM images / P. Garcia Rodriguez in International Journal of Remote Sensing IJRS, vol 28 n°11-12 (June 2007)
[article]
Titre : Mapping of salt-affected soils using TM images Type de document : Article/Communication Auteurs : P. Garcia Rodriguez, Auteur ; M.E. Perrez Gonzales, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 2713 - 2722 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Castille-La Manche
[Termes IGN] classification dirigée
[Termes IGN] déformation de surface
[Termes IGN] eau souterraine
[Termes IGN] image Landsat-TM
[Termes IGN] inondation
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] risque naturel
[Termes IGN] sédiment
[Termes IGN] sol salinRésumé : (Auteur) Landsat images supply significant information on the different aspects of the physical environment necessary to determine the distribution of salty soils. This work centres on the La Mancha area (Central Spain) which, due to its flat topography, exhibits ideal conditions to show surface and groundwater movement, as well as sediment distribution. Combination of these factors is essential for development. The main goal of this study is to derive information on the distribution of salt-affected soils, as well as the area subject to flood risk. Multitemporal Landsat TM images selected from the 1990s have been used for this purpose. TM images are useful for delineation of mesozoic sediments rich in salts and/or areas with high humidity content. These images have been geo-referenced to the UTM coordinate system and have been digitally enhanced. Principal components, NDVI and supervised classification were computed. Therefore, it is quite possible to predict with a high degree of probability the development of saline soils, but their precise classification is not always possible, owing to the fact that they are usually associated with other soil groups: calcisols, regosols, luvisols and kastanozems. Salt-affected soils have been found to be associated with clayish mesozoic sediments, hollows, flood plain area and subsurface and groundwater movements. Complementary fieldwork is necessary in order to confirm digital values. Copyright Taylor & Francis Numéro de notice : A2007-310 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600928658 En ligne : https://doi.org/10.1080/01431160600928658 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28673
in International Journal of Remote Sensing IJRS > vol 28 n°11-12 (June 2007) . - pp 2713 - 2722[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-07071 RAB Revue Centre de documentation En réserve L003 Disponible Wavelet decomposition of hyperspectral data: a novel approach to quantifying pigment concentrations in vegetation / G. Blackburn in International Journal of Remote Sensing IJRS, vol 28 n°11-12 (June 2007)PermalinkA comparison of four common atmospheric correction methods / A.S. Mahiny in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 4 (April 2007)PermalinkImproving land-cover classification using recognition threshold neural networks / M.J. Aitkenhead in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 4 (April 2007)PermalinkA new algorithm for estimating chlorophyll-a concentration from multi-spectral satellite data in case 2 waters: a simulation based on a controlled laboratory experiment / Y. Oyoma in International Journal of Remote Sensing IJRS, vol 28 n°7-8 (April 2007)PermalinkMISR-based passive optical bathymetry from orbit with few-cm level of accuracy on the Salar de Uyuni, Bolivia / B.G. Bills in Remote sensing of environment, vol 107 n° 1-2 (15 March 2007)Permalinkvol 107 n° 1-2 - 15 March 2007 - Multi-angle Imaging SpectroRadiometer (MISR) Special Issue MISR (Bulletin de Remote sensing of environment) / David J. DinerPermalinkAutomated registration of high-resolution satellite images / C. Zhang in Photogrammetric record, vol 22 n° 117 (March - May 2007)PermalinkComparison between several feature extraction/classification methods for mapping complicated agricultural land use patches using airborne hyperspectral data / S. Lu in International Journal of Remote Sensing IJRS, vol 28 n°5-6 (March 2007)PermalinkDétection de feux de forêt par analyse statistique d'évènements rares à partir d'images infrarouges thermiques / Florent Lafarge in Traitement du signal, vol 24 n° 1 ([01/02/2007])PermalinkExtraction of spectral channels from hyperspectral images for classification purposes / S.B. Serpico in IEEE Transactions on geoscience and remote sensing, vol 45 n° 2 (February 2007)PermalinkFFT-enhanced IHS transform method for fusing high-resolution satellite images / Y. Ling in ISPRS Journal of photogrammetry and remote sensing, vol 61 n° 6 (February 2007)PermalinkPermalinkAutomatic extraction and classification of vegetation areas from high resolution images in urban areas / Corina Iovan (2007)PermalinkAutomatic extraction of urban vegetation structures from high resolution imagery and digital elevation models / Corina Iovan (2007)PermalinkAutomatic man-made object extraction and 3D scene reconstruction from geomatic-images; Is there still a long way to go? / Nicolas Paparoditis (2007)PermalinkDevelopment of an inversion code, ICARE, able to extract urban areas ground reflectance / Sophie Lacherade (2007)PermalinkPermalinkExtraction of landcover themes out of aerial orthoimages in mountainous areas using external information / Arnaud Le Bris (2007)PermalinkPermalinkPermalink