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Impact of lidar nominal post-spacing on DEM accuracy and flood zone delineation / G.T. Raber in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 7 (July 2007)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 7 (July 2007) . - pp 793 - 804 Titre : Impact of lidar nominal post-spacing on DEM accuracy and flood zone delineation Type de document : Article/Communication Auteurs : G.T. Raber, Auteur ; J.R. Jensen, Auteur Année de publication : 2007 Article en page(s) : pp 793 - 804 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] données lidar [Termes IGN] inondation [Termes IGN] lasergrammétrie [Termes IGN] modèle hydrographique [Termes IGN] modèle numérique de terrain [Termes IGN] plan de vol [Termes IGN] précision des données [Termes IGN] précision du positionnement [Termes IGN] prise de vue aérienne [Termes IGN] réseau hydrographique [Termes IGN] semis de points Résumé : (Auteur) Lidar data have become a major source of digital terrain information for use in many applications including hydraulic modeling and flood plane mapping. Based on established relationships between sampling intensity and error, nominal post-spacing likely contributes significantly to the error budget. Post-spacing is also a major cost factor during lidar data collection. This research presents methods for establishing a relationship between nominal post-spacing and its effects on hydraulic modeling for flood zone delineation. Lidar data collected at a low post-spacing (approximately 1 to 2 m) over a piedmont study area in North Carolina was systematically decimated to simulate datasets with sequentially higher post-spacing values. Using extensive first-order ground survey information, the accuracy of each DEM derived from these lidar datasets was assessed and reported. Hydraulic analyses were performed utilizing standard engineering practices and modeling software (HEC-RAS). All input variables were held constant in each model run except for the topographic information from the decimated lidar datasets. The results were compared to a hydraulic analysis performed on the un-decimated reference dataset. The sensitivity of the primary model outputs to the variation in nominal post-spacing is reported. The results indicate that base flood elevation does not statistically change over the post-spacing values tested. Conversely, flood zone boundary mapping was found to be sensitive to variations in post-spacing. Copyright ASPRS Numéro de notice : A2007-313 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.7.793 En ligne : http://dx.doi.org/10.14358/PERS.73.7.793 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28676 [article]

Interrelationships between spatial resolution and per-pixel classifiers for extracting information classes part 1: the urban environment / J.R. Jensen (29/03/2006)

Public 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 1: the urban environment Type de document : Article/Communication Auteurs : J.R. Jensen, Auteur ; M.E. Hodgson, Auteur Editeur : Bethesda [Maryland - Etats-Unis] : American Society for Photogrammetry and Remote Sensing ASPRS Année de publication : 29/03/2006 Importance : pp 121 - 129 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] classification [Termes IGN] image Landsat-MSS [Termes IGN] limite de résolution géométrique [Termes IGN] milieu urbain [Termes IGN] occupation du sol [Termes IGN] photo-interprétation [Termes IGN] pixel [Termes IGN] précision de la classification Numéro de notice : C1987-074 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Communication Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65259

Voir aussi

• Interrelationships between spatial resolution and per-pixel classifiers for extracting information classes part 2: the natural environment / M.E. Hodgson (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)

Public 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 spectrale Numéro 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

Voir aussi

• Interrelationships between spatial resolution and per-pixel classifiers for extracting information classes part 1: the urban environment / J.R. Jensen (29/03/2006)

A change detection model based on neighborhood correlation image analysis and decision tree classification / J. Im in Remote sensing of environment, vol 99 n° 3 (30/11/2005)  

Public [article]  inRemote sensing of environment > vol 99 n° 3 (30/11/2005) . - pp 326 - 340 Titre : A change detection model based on neighborhood correlation image analysis and decision tree classification Type de document : Article/Communication Auteurs : J. Im, Auteur ; J.R. Jensen, Auteur Année de publication : 2005 Article en page(s) : pp 326 - 340 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] appariement d'images [Termes IGN] apprentissage automatique [Termes IGN] classification barycentrique [Termes IGN] classification par arbre de décision [Termes IGN] détection de changement [Termes IGN] données multitemporelles [Termes IGN] image à haute résolution [Termes IGN] image multibande [Termes IGN] Kappa de Cohen [Termes IGN] prise en compte du contexte [Termes IGN] voisinage (relation topologique) Résumé : (Auteur) This study introduces a change detection model based on Neighborhood Correlation Image (NCI) logic. It is based on the fact that the sail-, geographic area (e.g., a 3 x 3 pixel window) on two dates of imagery will tend to be highly correlated if little change has occurred, an uncorrelated when change occurs. Computing the piecewise correlation between two data sets provides valuable information regarding the location and numeric change value derived using contextual information within the specified neighborhood. Various neighborhood configuration (i.e., multi-level NCls) were explored in the study using high spatial resolution multispectral imagery: smaller neighborhood sizes provided some detailed change information (such as a new patios added to an existing building) at the cost of introducing some noise (such as change, shadows). Larger neighborhood sizes were useful for removing this noise but introduced some inaccurate change information (such as removing some linear feature changes). When combined with image classification using a machine learning decision tree (C5.0), classifications based on multi-level NCIs yielded superior results (e.g., using a 3-pixel circular radius neighborhood had a Kappa of 0.94), compared to the classification that did not incorporate NCIs (Kappa=0.86). Numéro de notice : A2005-460 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2005.09.008 En ligne : https://doi.org/10.1016/j.rse.2005.09.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27596 [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)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 9 (September 2003) . - pp 973 - 980 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 expert Résumé : (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 [article]

Expert system house detection in high spatial resolution: Imagery using size, shape, and context / J.A. Tullis in Geocarto international, vol 18 n° 1 (March - May 2003)  

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Creation of digital terrain models using an adaptative Lidar vegetation point removal process / G.T. Raber in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 12 (December 2002)  

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A neural network image interpretation system to extract rural and urban land use and land cover information from remote sensor data / J.R. Jensen in Geocarto international, vol 16 n° 1 (March - May 2001)  

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Remote sensing and numerical modeling of suspended sediment in Laguna de terminos, Campeche, Mexico / J.R. Jensen in Remote sensing of environment, vol 28 n° 1 (April - June 1989)  

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Monitoring 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)  

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Aircraft MSS data registration and vegetation classification for wetland change detection / E.J. Christensen in International Journal of Remote Sensing IJRS, vol 9 n° 1 (January 1988)  

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Remote sensing of wetland habitat : a wood stork example / M.E. Hodgson in Photogrammetric Engineering & Remote Sensing, PERS, vol 53 n° 8 (august 1987)  

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Inland wetland change detection using aircraft MSS data / J.R. Jensen in Photogrammetric Engineering & Remote Sensing, PERS, vol 53 n° 5 (may 1987)  

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Education for cartography and remote sensing in the service of an information society : the US case / R.E. Dahlberg in American cartographer (the), vol 13 n° 1 (April 1986)  

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Potential impacts of recent developments in remote sensing upon cartographic education in the United States / R.E. Dahlberg in Annuaire international de cartographie, n° 21 (1981)

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