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Filling the voids in the SRTM elevation model: a tin-based delta surface approach / E. Luedeling in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 4 (September 2007)
[article]
Titre : Filling the voids in the SRTM elevation model: a tin-based delta surface approach Type de document : Article/Communication Auteurs : E. Luedeling, Auteur ; S. Siebert, Auteur ; A. Buerkert, Auteur Année de publication : 2007 Article en page(s) : pp 283 - 294 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] altitude
[Termes IGN] analyse comparative
[Termes IGN] erreur systématique
[Termes IGN] fusion de données
[Termes IGN] interpolation spatiale
[Termes IGN] MNS SRTM
[Termes IGN] modèle numérique de surface
[Termes IGN] montagne
[Termes IGN] Oman
[Termes IGN] positionnement par GPS
[Termes IGN] Triangulated Irregular NetworkRésumé : (Auteur) The Digital Elevation Model (DEM) derived from NASA's Shuttle Radar Topography Mission is the most accurate near-global elevation model that is publicly available. However, it contains many data voids, mostly in mountainous terrain. This problem is particularly severe in the rugged Oman Mountains. This study presents a method to fill these voids using a fill surface derived from Russian military maps. For this we developed a new method, which is based on Triangular Irregular Networks (TINs). For each void, we extracted points around the edge of the void from the SRTM DEM and the fill surface. TINs were calculated from these points and converted to a base surface for each dataset. The fill base surface was subtracted from the fill surface, and the result added to the SRTM base surface. The fill surface could then seamlessly be merged with the SRTM DEM. For validation, we compared the resulting DEM to the original SRTM surface, to the fill DEM and to a surface calculated by the International Center for Tropical Agriculture (CIAT) from the SRTM data. We calculated the differences between measured GPS positions and the respective surfaces for 187,500 points throughout the mountain range (?GPS). Comparison of the means and standard deviations of these values showed that for the void areas, the fill surface was most accurate, with a standard deviation of the ?GPS from the mean ?GPS of 69 m, and only little accuracy was lost by merging it to the SRTM surface (standard deviation of 76 m). The CIAT model was much less accurate in these areas (standard deviation of 128 m). The results show that our method is capable of transferring the relative vertical accuracy of a fill surface to the void areas in the SRTM model, without introducing uncertainties about the absolute elevation of the fill surface. It is well suited for datasets with varying altitude biases, which is a common problem of older topographic information. Copyright ISPRS Numéro de notice : A2007-429 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2007.05.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2007.05.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28792
in ISPRS Journal of photogrammetry and remote sensing > vol 62 n° 4 (September 2007) . - pp 283 - 294[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-07061 SL Revue Centre de documentation Revues en salle Disponible Efficient multiresolution spatial predictions for large data arrays / Magnussen, Steen in Remote sensing of environment, vol 109 n° 4 (30 August 2007)
[article]
Titre : Efficient multiresolution spatial predictions for large data arrays Type de document : Article/Communication Auteurs : Magnussen, Steen, Auteur ; Erik Naesset, Auteur ; Michael A. Wulder, Auteur Année de publication : 2007 Article en page(s) : pp 451 - 463 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] erreur moyenne quadratique
[Termes IGN] image multi sources
[Termes IGN] interpolation
[Termes IGN] interpolation inversement proportionnelle à la distance
[Termes IGN] lissage de données
[Termes IGN] modèle numérique de terrain
[Termes IGN] résolution multiple
[Termes IGN] signal laserRésumé : (Auteur) Imputations of missing values and optimal smoothing with massive data arrays poses a computational challenge since ordinary kriging becomes infeasible. Imputation and smoothing with standard algorithms like inverse distance weighted nearest neighbour interpolation (IDW) and interpolation on triangulated irregular networks (TIN/IP) fail to incorporate the spatial structure and ignore information beyond the neighbourhood. Multiresolution spatial models (MRSM) or approximate kriging methods adapted to handling massive data sets can be expected to do better than IDW and TIN/IP in terms of mean square errors of prediction (MSEP). We illustrate a MRSM that is efficient, computationally fast, and easy to implement. In two forestry examples with imputation of LiDAR range values the MRSM achieved a lower MSEP than IDW, TIN/IP, and fixed ranked kriging. MRSM appear as especially attractive for the construction of a DTM from last return LiDAR pulses. A third example demonstrates MRSM for efficient smoothing. Numéro de notice : A2007-319 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2007.01.018 En ligne : https://doi.org/10.1016/j.rse.2007.01.018 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28682
in Remote sensing of environment > vol 109 n° 4 (30 August 2007) . - pp 451 - 463[article]Dasymetric modelling of small-area population distribution using land cover and light emissions data / D.J. Briggs in Remote sensing of environment, vol 108 n° 4 (29 June 2007)
[article]
Titre : Dasymetric modelling of small-area population distribution using land cover and light emissions data Type de document : Article/Communication Auteurs : D.J. Briggs, Auteur ; J. Gulliver, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 451 - 466 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] Corine Land Cover
[Termes IGN] densité de population
[Termes IGN] distribution spatiale
[Termes IGN] données statistiques
[Termes IGN] figuration de la densité
[Termes IGN] flux lumineux
[Termes IGN] image DMSP-OLS
[Termes IGN] image satellite
[Termes IGN] intensité lumineuse
[Termes IGN] interpolation inversement proportionnelle à la distance
[Termes IGN] krigeage
[Termes IGN] régressionRésumé : (Auteur) Despite the improvements made in census procedures over recent decades, the availability of detailed population data is limited. For many applications, including environmental and health analyses, methods are therefore needed to model population distribution at the small-area level. With the development of GIS and remote sensing techniques, the ability to develop such models has greatly improved. This paper describes a GIS-based approach using remotely sensed land cover and nighttime light emissions data to model population distribution at the land parcel level across the European Union. Light emission data from the DMSP satellites were first resampled and modelled using kriging and inverse distance weighting methods to provide a 200-m resolution light emissions map. This was then matched to CORINE land cover classes across the EU. Regression methods were used to derive models of relationships between census population counts (at NUTS 5 level) and land cover area and light emissions. Models were developed at both national and EU scale, using a range of different modelling strategies. Model performance, as indicated by the regression statistics, was seen to be good, with R2 typically in the order of 0.8–0.9 and SEE ca. 4000 people. In southern countries, especially, incorporation of light emissions data was found to improve model performance considerably compared to models based only on land cover data. More detailed post hoc validation in Great Britain, using independent data on population at census tract (enumeration district and output area) and postcode level, for 1991 and 2001, showed that models gave good predictions of population at the 1 km level (R2 > 0.9), but were less reliable at resolutions below ca. 500 m. Impending enhancements in the available land cover and light emissions data are expected to improve the capability of this modelling approach in the future. Numéro de notice : A2007-300 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.11.020 En ligne : https://doi.org/10.1016/j.rse.2006.11.020 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28663
in Remote sensing of environment > vol 108 n° 4 (29 June 2007) . - pp 451 - 466[article]A novel approach for disaster monitoring: fractal models and tools / G. Di Martino in IEEE Transactions on geoscience and remote sensing, vol 45 n° 6 Tome 1 (June 2007)
[article]
Titre : A novel approach for disaster monitoring: fractal models and tools Type de document : Article/Communication Auteurs : G. Di Martino, Auteur ; A. Iodice, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 1559 - 1570 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] détection de changement
[Termes IGN] écho radar
[Termes IGN] géométrie fractale
[Termes IGN] image radar moirée
[Termes IGN] inondation
[Termes IGN] interpolation
[Termes IGN] modèle géométrique
[Termes IGN] risque naturel
[Termes IGN] risque technologique
[Termes IGN] scène
[Termes IGN] surveillance hydrologiqueRésumé : (Auteur) In this paper, we present a complete framework to support the monitoring of natural and man-made disasters by means of synthetic aperture radar (SAR) images. The fractal geometry is the most appropriate mathematical instrument in describing the irregularity of a natural observed scene, by means of few effective and reliable parameters. Therefore, fractal concepts can be used to model and identify geometrical changes that occurred in areas hit by disasters. We present an overall framework employing fractal-based models, algorithms, and tools to support the identification of natural area changes due to natural or man-made disasters. Such a framework includes an algorithm used to extract fractal parameters from a 2-D signal, a fractal interpolation tool, and a SAR raw-signal simulator. The combined use of these tools provides an innovative instrument for disaster monitoring applications. In this paper, we implement the fractal framework to obtain a relation between the fractal parameters of a SAR image and those of the relative imaged area. In addition, a case study is discussed, showing the potentiality of our framework for flooding detection. Numéro de notice : A2007-362 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.887024 En ligne : https://doi.org/10.1109/TGRS.2006.887024 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28725
in IEEE Transactions on geoscience and remote sensing > vol 45 n° 6 Tome 1 (June 2007) . - pp 1559 - 1570[article]Repetitive interpolation: A robust algorithm for DTM generation from aerial Laser scanner data in forested terrain / A. Kobler in Remote sensing of environment, vol 108 n° 1 (15/05/2007)
[article]
Titre : Repetitive interpolation: A robust algorithm for DTM generation from aerial Laser scanner data in forested terrain Type de document : Article/Communication Auteurs : A. Kobler, Auteur ; Norbert Pfeifer, Auteur ; P. Ogrine, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 9 - 23 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] forêt tempérée
[Termes IGN] interpolation
[Termes IGN] lasergrammétrie
[Termes IGN] modèle numérique de terrain
[Termes IGN] semis de points
[Termes IGN] télémétrie laser aéroportéRésumé : (Auteur) We present a new algorithm for digital terrain model (DTM) generation from an airborne laser scanning point cloud, called repetitive interpolation (REIN). It is especially applicable in steep, forested areas where other filtering algorithms typically have problems distinguishing between ground returns and off-ground points reflected in the vegetation. REIN can produce a DTM either in a vector grid or in a TIN data structure. REIN is applied after an initial filtering, which involves removal of all negative outliers and removal of many, but not necessarily all, off-ground points by some existing filtering algorithm. REIN makes use of the redundancy in the initially filtered point cloud (FPC) in order to mitigate the effect of the residual off-ground points. Multiple independent random samples are taken from the initial FPC. From each sample, ground elevation estimates are interpolated at individual DTM locations. Because the lower bounds of the distributions of the elevation estimates at each DTM location are almost insensitive to positive outliers, the true ground elevations can be approximated by adding the global mean offset to the lower bounds, which is estimated from the data. The random sampling makes REIN unique among the methods of filtering airborne laser data. While other filters behave deterministically, always generating a filter error in special situations, in REIN, because of its random aspects, these errors do not occur in each sample, and typically cancel out in the final computation of DTM elevations. Reduction of processing time by parallelization of REIN is possible. REIN was tested in a test area of 2 hectares, encompassing steep relief covered by mixed forest. An Optech ALTM 1020 lidar was used, with a flying height of 260–300 m above the ground, the beam divergence was 0.3 mrad, and the obtained point cloud density for the last returns was 8.5 m- 2. A DTM grid was generated with 1 m horizontal resolution. The root mean square elevation error of the DTM ranged between 1 0.16 m and 1 0.37 m, depending on REIN sampling rate and number of samples taken, the lowest value achieved with 4 samples and using a 23% sampling rate. The paper also gives a short overview on existing filtering algorithms. Copyright Elsevier Numéro de notice : A2007-216 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.10.013 En ligne : https://doi.org/10.1016/j.rse.2006.10.013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28579
in Remote sensing of environment > vol 108 n° 1 (15/05/2007) . - pp 9 - 23[article]Les agriculteurs de PACA vont prendre l'air / Françoise de Blomac in SIG la lettre, n° 85 (mars 2007)PermalinkAn integrated method for satellite image interpolation / Wei Shi in International Journal of Remote Sensing IJRS, vol 28 n°5-6 (March 2007)PermalinkEvaluation de différentes méthodes d'interpolation spatiale pour la production d'un MNT à partir de données topographiques dans un SIG / Noamen Rebaï in XYZ, n° 110 (mars - mai 2007)PermalinkNetwork real-time kinematic performance analysis using RTCM 3.0 and the Southern Alberta network / Kyle O'Keefe in Geomatica, vol 61 n° 1 (March 2007)PermalinkTowards a general theory of geographic representation in GIS / Michael F. Goodchild in International journal of geographical information science IJGIS, vol 21 n° 3-4 (march - april 2007)PermalinkSpatial PSF nonuniformity effects in airborne pushbroom imaging spectrometry data / Daniel Schläpfer in IEEE Transactions on geoscience and remote sensing, vol 45 n° 2 (February 2007)Permalink[BEP des techniques du géomètre et de la topographie] Sciences et techniques indutrielles, baccalauréat professionnel technicien géomètre - topographe, 2. Tome 2, Topographie : traitements graphiques, Foncier et droit professionnel, Domaines particuliers d'intervention du géomètre / S. Bouquillard (2007)PermalinkChamp de vitesses de l'ITRF, propriétés cinématiques de la croute terrestre et condition de non rotation globale / Juliette Legrand (2007)PermalinkCorrections altimétriques de MELBpos / Anne Duret (2007)PermalinkAnalysis of artifacts in sub-pixel remote sensing image registration / Jordi Inglada in Revue Française de Photogrammétrie et de Télédétection, n° 184 (Décembre 2006)Permalink