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Auteur M.E. Hodgson |
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Effects of Lidar post-spacing and DEM resolution to mean slope estimation / T. Edwin in International journal of geographical information science IJGIS, vol 23 n°9-10 (september 2009)
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Titre : Effects of Lidar post-spacing and DEM resolution to mean slope estimation Type de document : Article/Communication Auteurs : T. Edwin, Auteur ; M.E. Hodgson, Auteur Année de publication : 2009 Article en page(s) : pp 1277 - 1295 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] analyse de sensibilité
[Termes IGN] bassin hydrographique
[Termes IGN] Caroline du Sud (Etats-Unis)
[Termes IGN] densité des points
[Termes IGN] données lidar
[Termes IGN] estimation de précision
[Termes IGN] modèle numérique de surface
[Termes IGN] pente
[Termes IGN] pouvoir de résolution géométriqueRésumé : (Auteur) This paper examines the effect of scale (exhibited by spatial sampling) in modeling mean slope from lidar data using two representations of scale: lidar posting density (i.e. post-spacing) and DEM resolution (i.e. cell size). The study areas selected include six small (i.e. approximately 3 km2) urban drainage basins in Richland County, SC, USA, which share similar hydrologic characteristics. This research spatially sampled an airborne lidar dataset collected in 2000 at a 2 m nominal posting density to simulate lidar posting density at various post-spacings, from 2 m through 10 m. DEMs were created from the lidar observations at a corresponding cell size using spatial interpolation. Finally, using these DEMs, a sensitivity analysis between modeled terrain slope and lidar post-spacing was conducted. Results of the sensitivity analyses showed that the deviation between mean slope and modeled mean slope decreases with finer posting density and DEM resolution. The relationship of mean slope with varying cell sizes and post-spacing suggests a linear and a logarithmic function, respectively, for all study areas. More importantly, cell size has a greater effect on mean slope than lidar posting density. Implications of these results for lumped hydrologic modeling are then postulated. Copyright Taylor & Francis Numéro de notice : A2009-389 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/13658810802344127 En ligne : https://doi.org/10.1080/13658810802344127 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30019
in International journal of geographical information science IJGIS > vol 23 n°9-10 (september 2009) . - pp 1277 - 1295[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 079-09061 RAB Revue Centre de documentation En réserve L003 Disponible Interrelationships between spatial resolution and per-pixel classifiers for extracting information classes part 1: the urban environment / J.R. Jensen (29/03/2006)Interrelationships between spatial resolution and per-pixel classifiers for extracting information classes part 2: the natural environment / M.E. Hodgson (29/03/2006)
contenu dans Technical papers 1987, ASPRS-ACSM annual convention : ASPRS 53rd annual meeting, ACSM 47th annual meeting, Volume 1. Remote sensing / American society for photogrammetry and remote sensing (1987)
Titre : Interrelationships between spatial resolution and per-pixel classifiers for extracting information classes part 2: the natural environment Type de document : Article/Communication Auteurs : M.E. Hodgson, Auteur ; J.R. Jensen, Auteur Editeur : Bethesda [Maryland - Etats-Unis] : American Society for Photogrammetry and Remote Sensing ASPRS Année de publication : 29/03/2006 Importance : pp 130 - 139 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classification
[Termes IGN] humidité de l'air
[Termes IGN] image Landsat-MSS
[Termes IGN] limite de résolution géométrique
[Termes IGN] milieu naturel
[Termes IGN] photo-interprétation
[Termes IGN] pixel
[Termes IGN] ressources naturelles
[Termes IGN] signature spectraleNuméro de notice : C1987-075 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Communication Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65260 Accuracy of airborne lidar derived elevation: empirical assessment and error budget / M.E. Hodgson in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 3 (March 2004)
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Titre : Accuracy of airborne lidar derived elevation: empirical assessment and error budget Type de document : Article/Communication Auteurs : M.E. Hodgson, Auteur ; P. Bresnahan, Auteur Année de publication : 2004 Article en page(s) : pp 331 - 339 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] altitude
[Termes IGN] ALTM
[Termes IGN] cartographie topographique
[Termes IGN] données lidar
[Termes IGN] GPS en mode statique
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] utilisation du sol
[Termes IGN] valeur efficaceRésumé : (Auteur) As part of a countywide large-scale mapping effort for Richland County, South Carolina, an accuracy assessment of a recently acquired lidar-derived data set was conducted. Airborne lidar (2m nominal posting) was collected at a flying height of 1207 meters above ground level (AGL) using an Optech ALTM (Airborne Laser Terrain Mapper) 1210 system. Unique to this study are the reference point elevations. Rather than using an interpolation approach for gathering observed elevations at reference points, the x-y coordinates of lidar points were located in the field and these elevations were surveyed. Using both total-station-based and rapid-static GPS techniques, observed vertical heights were measured at each reference lidar posting. The variability of vertical accuracy was evaluated for six land-cover categories. Root-mean-squared error (RmsE) values ranged from a low of 17 to 19 cm (pavement, low grass, and evergreen forests) to a high of 26 cm (deciduous forests). The unique error assessment of lidar postings also allowed for the creation of an error budget model. The observed lidar elevation error was decomposed into errors from lidar system measurements, horizontal displacement, interpolation error, and surveyor error. A cross-validation approach was used to assess the observed interpolated lidar elevation error for each field-verified reference point. In order of decreasing importance, the lidar system measurements were the dominant source of error-followed by interpolation error, horizontal displacement error, and surveyor error. Observed elevation error in steeper slopes (e.g., 25°) was estimated to be twice as large as those on low slopes (e.g., 1.5°). Copyright ASPRS Numéro de notice : A2004-103 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.3.331 En ligne : https://doi.org/10.14358/PERS.70.3.331 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26630
in Photogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 3 (March 2004) . - pp 331 - 339[article]Synergistic use of Lidar and color aerial photography for mapping urban parcel imperviousness / M.E. Hodgson in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 9 (September 2003)
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Titre : Synergistic use of Lidar and color aerial photography for mapping urban parcel imperviousness Type de document : Article/Communication Auteurs : M.E. Hodgson, Auteur ; J.R. Jensen, Auteur ; J.A. Tullis, Auteur ; K.D. Riordan, Auteur ; C.M. Archer, Auteur Année de publication : 2003 Article en page(s) : pp 973 - 980 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] données lidar
[Termes IGN] orthoimage
[Termes IGN] parcelle cadastrale
[Termes IGN] photographie en couleur
[Termes IGN] ruissellement
[Termes IGN] surface imperméable
[Termes IGN] système expertRésumé : (Auteur) The imperviousness of land parcels was mapped and evaluated using high spatial resolution digitized color orthophotography and surface-cover height extracted from multiple-return lidar data. Maximum-likelihood classification, spectral clustering, and expert system approaches were used to extract the impervious information from the datasets. Classified pixels (segments) were aggregated to parcels. The classification model based on the use of both the orthophotography and lidar-derived surface-cover height yielded impervious surface results for all parcels that were within 15 percent of reference data. The standard error for the rule-based per-pixel model was 7.15 percent with a maximum observed error of 18.94 percent. The maximum-likelihood per-pixel classification yielded a lower standard error of 6.62 percent with a maximum of 14.16 percent. The regression slope (i.e., 0. 955) for the maximum-likelihood per-pixel model indicated a near perfect relationship between observed and predicted imperviousness. The additional effort of using a per-segment approach with a rule-based classification resulted in slightly better standard error (5.85 percent) and a near-perfect regression slope (1.016). Numéro de notice : A2003-227 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.9.973 En ligne : https://doi.org/10.14358/PERS.69.9.973 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22522
in Photogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 9 (September 2003) . - pp 973 - 980[article]Comparison of angles from surface slope-aspect algorithms / M.E. Hodgson in Cartography and geographic information systems, vol 25 n° 3 (July 1998)PermalinkMonitoring wood stork foraging habitat using remote sensing and geographic information systems / M.E. Hodgson in Photogrammetric Engineering & Remote Sensing, PERS, vol 54 n° 11 (november 1988)PermalinkReducing the computational requirements of the minimum-distance classifier / M.E. Hodgson in Remote sensing of environment, vol 25 n° 1 (01/06/1988)PermalinkRemote sensing of wetland habitat : a wood stork example / M.E. Hodgson in Photogrammetric Engineering & Remote Sensing, PERS, vol 53 n° 8 (august 1987)Permalink