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Comparative analysis of SRTM-NED vegetation canopy height to LIDAR-derived vegetation canopy metrics / L. Kenyi in International Journal of Remote Sensing IJRS, vol 30 n°11-12 (June 2009)
[article]
Titre : Comparative analysis of SRTM-NED vegetation canopy height to LIDAR-derived vegetation canopy metrics Type de document : Article/Communication Auteurs : L. Kenyi, Auteur ; R. Dubayah, Auteur ; et al., Auteur Année de publication : 2009 Article en page(s) : pp 2797 - 2811 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] arbre (flore)
[Termes IGN] Californie (Etats-Unis)
[Termes IGN] canopée
[Termes IGN] climat de montagne
[Termes IGN] données lidar
[Termes IGN] flore locale
[Termes IGN] hauteur des arbres
[Termes IGN] MNS SRTMRésumé : (Auteur) Vegetation canopy heights derived from the SRTM 30 m grid DEM minus USGS National Elevation Data (NED) DTM were compared to three vegetation metrics derived from a medium footprint LIDAR data (LVIS) for the US Sierra Nevada forest in California. Generally the SRTM minus NED was found to underestimate the vegetation canopy height. Comparing the SRTM-NED-derived heights as a function of the canopy percentile height (shape/vertical structure) derived from LVIS, the SRTM SAR signal was found to penetrate, on average, into about 44% of the canopy and 85% after adjustment of the data. On the canopy type analysis, it was found that the SRTM phase scattering centres occurred at 60% for red fir, 53% for Sierra mixed conifer, 50% for ponderosa pine and 50% for montane hardwood-conifer. Whereas analysing the residual errors of the SRTM-NED minus the LVIS-derived canopy height as a function of LVIS canopy height and cover it was observed that the residuals generally increase with increasing canopy height and cover. Likewise, the behaviour of the RMSE as a function of canopy height and cover was observed to initially increase with canopy height and cover but saturates at 50 m canopy height and 60% canopy cover. On the other hand, the behaviour of the correlation coefficient as a function of canopy height and cover was found to be high at lower canopy height (15 m and 20% and Numéro de notice : A2009-257 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160802555853 En ligne : https://doi.org/10.1080/01431160802555853 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29887
in International Journal of Remote Sensing IJRS > vol 30 n°11-12 (June 2009) . - pp 2797 - 2811[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-09071 RAB Revue Centre de documentation En réserve L003 Disponible Finding shortest paths on real road networks: the case for A* / W. Zeng in International journal of geographical information science IJGIS, vol 23 n°3-4 (march - april 2009)
[article]
Titre : Finding shortest paths on real road networks: the case for A* Type de document : Article/Communication Auteurs : W. Zeng, Auteur Année de publication : 2009 Article en page(s) : pp 531 - 543 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] chemin le plus court, algorithme du
[Termes IGN] Los Angeles
[Termes IGN] méthode heuristique
[Termes IGN] réseau de transport
[Termes IGN] réseau routier
[Termes IGN] système d'information géographiqueRésumé : (Auteur) The problem of identifying the shortest path along a road network is a fundamental problem in network analysis, ranging from route guidance in a navigation system to solving spatial allocation problems. Since this type of problem is solved so frequently, it is important to craft an approach that is as efficient as possible. Based upon past research, it is generally accepted that several efficient implementations of the Dijkstra algorithm are the fastest at optimally solving the 'one-to-one' shortest path problem (Cherkassky et al. 1996). We show that the most efficient state-of-the-art implementations of Dijkstra can be improved by taking advantage of network properties associated with GIS-sourced data. The results of this paper, derived from tests of different algorithmic approaches on real road networks, will be extremely valuable for application developers and researchers in the GIS community. Copyright Taylor & Francis Numéro de notice : A2009-162 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810801949850 En ligne : https://doi.org/10.1080/13658810801949850 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29792
in International journal of geographical information science IJGIS > vol 23 n°3-4 (march - april 2009) . - pp 531 - 543[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-09021 RAB Revue Centre de documentation En réserve L003 Disponible 079-09022 RAB Revue Centre de documentation En réserve L003 Disponible ArcGIS seabed characterization toolbox developed for investigating benthic habitats / M. Erdey-Heydorn in Marine geodesy, vol 31 n° 4 (December 2008)
[article]
Titre : ArcGIS seabed characterization toolbox developed for investigating benthic habitats Type de document : Article/Communication Auteurs : M. Erdey-Heydorn, Auteur Année de publication : 2008 Article en page(s) : pp 318 - 358 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse texturale
[Termes IGN] ArcGIS
[Termes IGN] baie
[Termes IGN] classification dirigée
[Termes IGN] données bathymétriques
[Termes IGN] fond marin
[Termes IGN] habitat animal
[Termes IGN] San Francisco
[Termes IGN] Spatial Analyst
[Termes IGN] système d'information géographique
[Termes IGN] télédétection acoustiqueRésumé : (Auteur) Using data sets collected north of San Francisco Bay (CA) an ArcGIS classification toolset was developed using supervised image classification tools to characterize potential shallow marine benthic habitats. First-derivative images and a topographic algorithm, called Bathymetric Position Index were created from the bathymetry data set using ArcGIS Spatial Analyst tools. Backscatter intensity was also analyzed by creating training samples based on the collected sediment samples and then applying multivariate statistical tools to delinate textural classes. The data collected revealed a rugged and complex seafloor and imaged in detail basement and bedrock outcrops, sand and gravel bedforms, and flat sediment covered seabed. Copyright Taylor & Francis Numéro de notice : A2008-516 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/01490410802466819 En ligne : https://doi.org/10.1080/01490410802466819 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29585
in Marine geodesy > vol 31 n° 4 (December 2008) . - pp 318 - 358[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 230-08041 RAB Revue Centre de documentation En réserve L003 Disponible Automated conflation of digital gazetteer data / J.T. Hastings in International journal of geographical information science IJGIS, vol 22 n° 10 (october 2008)
[article]
Titre : Automated conflation of digital gazetteer data Type de document : Article/Communication Auteurs : J.T. Hastings, Auteur Année de publication : 2008 Article en page(s) : pp 1109 - 1127 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] Californie (Etats-Unis)
[Termes IGN] cognition
[Termes IGN] conflation
[Termes IGN] métrique
[Termes IGN] Nevada (Etats-Unis)
[Termes IGN] répertoire toponymique
[Termes IGN] système de gestion de connaissances
[Termes IGN] toponymeRésumé : (Auteur) A digital gazetteer (DG) is a spatial dictionary of named and typed places in some environment, typically the near-surface of the Earth. DGs are proliferating in number and sophistication with the popularity of location-based services such as GoogleEarth, MapQuest, and OnStar. The essential utility of a DG is to translate between formal and informal systems of place referencing, i.e. between the ad hoc names and qualitative type classifications assigned to places, on the one hand, and quantitative locations for them, on the other. Frequently, it is necessary to consult and combine results from multiple sources of gazetteer data, which is tedious for humans and currently not done by machines. Thus, a fundamental challenge with DGs is conflation: merging gazetteer data so that place identity is preserved. The challenge can be met using a computational approach modelled on human behaviour, focusing first on places' geometries (since disjoint places cannot be the same), second on their type categories, and finally on their names. This article details a troika of metrics that mimic the human cognitive process, together with operational procedures for automated conflation of DG data using them. By way of demonstration, both abstract and practical results of conflation for the Lake Tahoe Basin of California and Nevada are presented. Copyright Taylor & Francis Numéro de notice : A2008-356 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810701851453 En ligne : https://doi.org/10.1080/13658810701851453 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29349
in International journal of geographical information science IJGIS > vol 22 n° 10 (october 2008) . - pp 1109 - 1127[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-08061 RAB Revue Centre de documentation En réserve L003 Disponible 079-08062 RAB Revue Centre de documentation En réserve L003 Disponible Characterizing patterns of plant distribution in a southern California salt marsh using remotely sensed topographic and hyperspectral data and local tidal fluctuations / S. Sadro in Remote sensing of environment, vol 110 n° 2 (28/09/2007)
[article]
Titre : Characterizing patterns of plant distribution in a southern California salt marsh using remotely sensed topographic and hyperspectral data and local tidal fluctuations Type de document : Article/Communication Auteurs : S. Sadro, Auteur ; M. Gastil-Buhl, Auteur ; J. Melack, Auteur Année de publication : 2007 Article en page(s) : pp 226 - 239 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Californie (Etats-Unis)
[Termes IGN] carte de la végétation
[Termes IGN] classification dirigée
[Termes IGN] couvert végétal
[Termes IGN] distribution spatiale
[Termes IGN] données lidar
[Termes IGN] image AVIRIS
[Termes IGN] image hyperspectrale
[Termes IGN] marais salé
[Termes IGN] marée océanique
[Termes IGN] modèle numérique de surfaceRésumé : (Auteur) We used LiDAR topographic data, AVIRIS hyperspectral data, and locally measured tidal fluctuations to characterize patterns of plant distribution within a southern California salt marsh (Carpinteria Salt Marsh (CSM)). LiDAR data required ground truthing and correction before they were suitable for use. Twenty to forty percent of the uncertainty associated with LiDAR was due to variance in the elevation of the target surface, the balance was attributed to error inherent in the LiDAR system. The incidence of LiDAR penetration of plant canopy cover (i.e., registration of ground elevation) was only three percent. The depth of LiDAR penetration into the plant canopy varied according to plant species composition; plant species-specific corrections significantly improved LiDAR accuracy (58% reduction in overall uncertainty) and with the use of ground-based surveys, reduced overall RMSE to an average of 6.3 cm in vegetated areas. A supervised classification of AVIRIS data was used to generate a vegetation map with six classification types; overall classification accuracy averaged 59% with a kappa coefficient of 0.40. The vegetation classification map was overlaid with a LiDAR-based digital elevation model (DEM) to compute elevation distributions and frequencies of tidal inundation. The average elevations of the dominant plant classifications found in CSM (e.g., Salicornia virginica, Jaumea carnosa, and salt-grass mix, a mixture of multiple marsh plant species) occurred within a 17 cm range, a vertical change that resulted in a 7% difference in the period of tidal inundation. Numéro de notice : A2007-150 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2007.02.024 En ligne : https://doi.org/10.1016/j.rse.2007.02.024 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28513
in Remote sensing of environment > vol 110 n° 2 (28/09/2007) . - pp 226 - 239[article]Updating for two recent earthquakes in California / C Pearson in SaLIS Surveying and land information science, vol 67 n° 3 (October 2007)PermalinkSpatial resolution and algorithm choice as modifiers of downslope flow computed from digital elevation models / K. Clarke in Cartography and Geographic Information Science, vol 34 n° 3 (July 2007)PermalinkMonitoring cross-border trails using airborne digital multispectral imagery and interactive image analysis techniques / L. Cao in Geocarto international, vol 22 n° 2 (June - August 2007)PermalinkComputing coastal ocean surface curreants from infrared and ocean color satellite imagery / R.I. Crocker in IEEE Transactions on geoscience and remote sensing, vol 45 n° 2 (February 2007)PermalinkAutomatically conflating road vector data with orthoimagery / C.C. Chen in Geoinformatica, vol 10 n° 4 (December 2006)PermalinkMapping carbon and water vapor fluxes in a chaparral ecosystem using vegetation indices derived from AVIRIS / D.A. Fuentes in Remote sensing of environment, vol 103 n° 3 (15 August 2006)PermalinkResolution dependent errors in remote sensing of cultivated areas / M. Ozdogan in Remote sensing of environment, vol 103 n° 2 (30/07/2006)PermalinkApplication of multiple endmember spectral mixture analysis (MESMA) to AVIRIS imagery for coastal salt marsh mapping: a case study in China Camp, CA, USA / L. Li in International Journal of Remote Sensing IJRS, vol 26 n° 23 (December 2005)PermalinkEstimating sub-pixel surface roughness using remotely sensed stereoscopic data / A. Mushkin in Remote sensing of environment, vol 99 n° 1-2 (15 November 2005)PermalinkSpatio-temporal dynamics in California's central valley: empirical links to urban theory / C. 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