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Tiers of floods / Joe Peters in GEO: Geoconnexion international, vol 13 n° 10 (November 2014)
[article]
Titre : Tiers of floods Type de document : Article/Communication Auteurs : Joe Peters, Auteur Année de publication : 2014 Article en page(s) : pp. 25 - 27 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] cartographie d'urgence
[Termes IGN] estimation statistique
[Termes IGN] Etats-Unis
[Termes IGN] inondation
[Termes IGN] système d'information géographique
[Termes IGN] télédétection spatialeRésumé : (Editeur) The author explains how GIS analysts were able to use a range of remote sensing data in a tiered approach to managing emergency responses to widespread flooding in the United States Numéro de notice : A2014-347 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73714
in GEO: Geoconnexion international > vol 13 n° 10 (November 2014) . - pp. 25 - 27[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 062-2014101 SL Revue Centre de documentation Revues en salle Disponible Rank and file / Ray Caputo in GEO: Geoconnexion international, vol 13 n° 8 (september 2014)
[article]
Titre : Rank and file Type de document : Article/Communication Auteurs : Ray Caputo, Auteur Année de publication : 2014 Article en page(s) : pp 46 - 48 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] armée
[Termes IGN] données localisées 3D
[Termes IGN] données massives
[Termes IGN] Etats-Unis
[Termes IGN] utilisateur militaireRésumé : (Auteur) GeoPDFs have provided the US army with a solution to its big data problem - how to make the huge amount of geospatial data the US government owns available to unstrained soldiers in an easy-to-use and understandable format. Numéro de notice : A2014-326 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/SOCIETE NUMERIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33229
in GEO: Geoconnexion international > vol 13 n° 8 (september 2014) . - pp 46 - 48[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 062-2014081 SL Revue Centre de documentation Revues en salle Disponible Combining hyperspectral and Lidar data for vegetation mapping in the Florida Everglades / Caiyun Zhang in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 8 (August 2014)
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Titre : Combining hyperspectral and Lidar data for vegetation mapping in the Florida Everglades Type de document : Article/Communication Auteurs : Caiyun Zhang, Auteur Année de publication : 2014 Article en page(s) : pp. 733 - 743 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] apprentissage automatique
[Termes IGN] cartographie thématique
[Termes IGN] données lidar
[Termes IGN] Floride (Etats-Unis)
[Termes IGN] image hyperspectrale
[Termes IGN] marais
[Termes IGN] semis de points
[Termes IGN] traitement d'image
[Termes IGN] végétationRésumé : (Auteur)This study explored a combination of hyperspectral and lidar systems for vegetation mapping in the Florida Everglades. A framework was designed to integrate two remotely sensed datasets and four data processing techniques. Lidar elevation and intensity features were extracted from the original point cloud data to avoid the errors and uncertainties in the raster-based lidar methods. Lidar significantly increased the classification accuracy compared with the application of hyperspectral data alone. Three lidar-derived features (elevation, intensity, and topography) had the same contributions in the classification. A synergy of hyperspectral imagery with all lidar-derived features achieved the best result with an overall accuracy of 86 percent and a Kappa value of 0.82 based on an ensemble analysis of three machine learning classifiers. Ensemble analysis did not significantly increase the classification accuracy, but it provided a complementary uncertainty map for the final classified map. The study shows the promise of the synergy of hyperspectral and lidar systems for mapping complex wetlands. Numéro de notice : A2014-344 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.8.733 En ligne : https://doi.org/10.14358/PERS.80.8.733 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73717
in Photogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 8 (August 2014) . - pp. 733 - 743[article]Mapping fuels at the wildland-urban interface using colour ortho-images and Lidar data / Melissa F. Rosa in Geocarto international, vol 29 n° 5 - 6 (August - October 2014)
[article]
Titre : Mapping fuels at the wildland-urban interface using colour ortho-images and Lidar data Type de document : Article/Communication Auteurs : Melissa F. Rosa, Auteur ; Douglas A. Stow, Auteur Année de publication : 2014 Article en page(s) : pp 570-588 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] biomasse (combustible)
[Termes IGN] carte thématique
[Termes IGN] classification orientée objet
[Termes IGN] combustible
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] fusion de données
[Termes IGN] incendie
[Termes IGN] orthoimage
[Termes IGN] orthoimage couleur
[Termes IGN] San Diego
[Termes IGN] simulationRésumé : (auteur) Fuel type mapping of the wildland-urban interface (WUI) in support of fire spread simulation modelling should include both natural and urban features. The objective of this study was to evaluate the utility of (1) Light Detection and Ranging (LiDAR) structural data, (2) ortho-image data and (3) a combination of both as input to an object-based classification approach for mapping fuels within two WUI areas in San Diego, California. A separability analysis was utilized to determine the surface topographical and spectral layers most influential for discriminating WUI fuels. An accuracy assessment revealed that the combination of LiDAR and ortho-image data inputs substantially increased classification accuracy by 20–30% and achieved overall accuracies > 80%. Results from the study provide knowledge on how reliable fuel types within the WUI can be mapped using high-resolution LiDAR and ortho-image data while presenting new insights into fuel type mapping. Numéro de notice : A2014-417 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2013.819040 En ligne : https://doi.org/10.1080/10106049.2013.819040 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73951
in Geocarto international > vol 29 n° 5 - 6 (August - October 2014) . - pp 570-588[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2014031 RAB Revue Centre de documentation En réserve L003 Disponible Wetland mapping in the upper midwest United States: An object-based approach integrating Lidar and imagery radar / Lian P. Rampi in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 5 (May 2014)
[article]
Titre : Wetland mapping in the upper midwest United States: An object-based approach integrating Lidar and imagery radar Type de document : Article/Communication Auteurs : Lian P. Rampi, Auteur ; Joseph F. Knight, Auteur ; Keith C. Pelletier, Auteur Année de publication : 2014 Article en page(s) : pp 439 - 449 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse d'image orientée objet
[Termes IGN] classification orientée objet
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] image à haute résolution
[Termes IGN] image aérienne
[Termes IGN] image multibande
[Termes IGN] image radar
[Termes IGN] marais
[Termes IGN] Minnesota (Etats-Unis)Résumé : (Auteur) This study investigated the effectiveness of using high resolution data to map wetlands in three ecoregions in Minnesota. High resolution data included multispectral leaf-off aerial imagery and lidar elevation data. These data were integrated using an Object-Based Image Analysis (OBIA) approach. Results for each study area were compared against field and image interpreted reference data using error matrices, accuracy estimates, and the kappa statistic. Producer's and user's accuracies were in the range of 92 to 96 percent and 91 to 96 percent, respectively, and overall accuracies ranged from 96-98 percent for wetlands larger than 0.20 ha (0.5 acres). The results of this study may allow for increased accuracy of mapping wetlands efforts over traditional remote sensing methods. Numéro de notice : A2014-243 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.5.439 En ligne : https://doi.org/10.14358/PERS.80.5.439 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33146
in Photogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 5 (May 2014) . - pp 439 - 449[article]Geostatistical methods for predicting soil moisture continuously in a subalpine basin / Katherine E. Williams in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 4 (April 2014)PermalinkA Temporal variant-invariant validation approach for agent-based models of landscape dynamics / Christopher Bone in Transactions in GIS, vol 18 n° 2 (April 2014)PermalinkModel generalization of two different drainage patterns by self-organizing maps / Alper Sen in Cartography and Geographic Information Science, vol 41 n° 2 (March 2014)PermalinkA real-time MODIS vegetation product for land surface and numerical weather prediction models / Jonathan L. Case in IEEE Transactions on geoscience and remote sensing, vol 52 n° 3 (March 2014)PermalinkUS strategy for forest management adaptation to climate change: building a framework for decision making / V. Alaric Sample in Annals of Forest Science, vol 71 n° 2 (March 2014)PermalinkStatistical data fusion of multi-sensor AOD over the Continental United States / Sweta Jinnagara Puttaswamy in Geocarto international, vol 29 n° 1 - 2 (February - April 2014)PermalinkThe co-evolution of residential segregation and the built environment at the turn of the 20th century: A Schelling model / Seth Spielman in Transactions in GIS, vol 18 n° 1 (February 2014)PermalinkBasal area and biomass estimates of loblolly pine stands using L-band UAVSAR / William L. Marks in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 1 (January 2014)PermalinkGénération de modèles numériques de surface et détection de changements 3D à partir d'imagerie satellite stéréoscopique très haute résolution / Cyrielle Guerin (2014)PermalinkHyperspectral image classification using nearest feature line embedding approach / Yang-Lang Chang in IEEE Transactions on geoscience and remote sensing, vol 52 n° 1 tome 1 (January 2014)Permalink