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Spoofs, proofs & jamming: Towards a sound national policy for civil location and time assurance / L. Scott in Inside GNSS, vol 7 n° 5 (September - October 2012)
[article]
Titre : Spoofs, proofs & jamming: Towards a sound national policy for civil location and time assurance Type de document : Article/Communication Auteurs : L. Scott, Auteur Année de publication : 2012 Article en page(s) : pp 42 - 53 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement
[Termes IGN] brouillage
[Termes IGN] Etats-Unis
[Termes IGN] interférence
[Termes IGN] leurrageRésumé : (Auteur) Incidents of GNSS interference and jamming are increasing in the United States. Successful spoofing of civil GPS signals has been demonstrated. What risks do these pose for companies and individuals using or relying on space-based positioning, navigation, and timing? One expert sizes up the problem and proposes some solutions. Numéro de notice : A2012-506 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31952
in Inside GNSS > vol 7 n° 5 (September - October 2012) . - pp 42 - 53[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 159-2012051 SL Revue Centre de documentation Revues en salle Disponible Documents numériques
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a2012-506_spoofs_proofs_&_jamming_scott.pdfAdobe Acrobat PDF Topographic corrections of satellite data for regional monitoring / S. Goslee in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 9 (September 2012)
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Titre : Topographic corrections of satellite data for regional monitoring Type de document : Article/Communication Auteurs : S. Goslee, Auteur Année de publication : 2012 Article en page(s) : pp 973 - 981 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] correction atmosphérique
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Landsat-TM
[Termes IGN] indice de végétation
[Termes IGN] Pennsylvanie (Etats-Unis)
[Termes IGN] réflectance spectrale
[Termes IGN] soleil (étoile)
[Termes IGN] surveillance de la végétationRésumé : (Auteur) The increased availability of satellite imagery has made regional monitoring programs possible. To compare images taken at different times, variation in reflectance caused by the interaction of sun position and topography must be corrected. Previous studies of topographic correction meth-ods have often used only single scenes taken under good conditions, and even then have found mixed effects. Six correction methods were tested on two Landsat scenes (TM and etm+) in central Pennsylvania obtained at low, medium, and high solar elevations. The effects of the corrections on band reflectance values and two ratio-based vegetation indices were assessed. Lambertian methods should not be used for regional monitoring of vegetation: these corrections are not band-specific, and thus do not remove topographic effects on vegetation indices. Instead, non-Lambertian methods such as the c-correction or Minnaert methods, particularly cover-based modifications of the latter, should be used. No methods provide effective correction under conditions of low or negative illumination, though such conditions are often found. An integrated approach including atmospheric corrections may offer a way to reduce topographic effects even at low illumination. Numéro de notice : A2012-444 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.9.973 En ligne : https://doi.org/10.14358/PERS.78.9.973 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31890
in Photogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 9 (September 2012) . - pp 973 - 981[article]Applying six classifiers to airborne hyperspectral imagery for detecting giant reed / C. Yang in Geocarto international, vol 27 n° 5 (August 2012)
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Titre : Applying six classifiers to airborne hyperspectral imagery for detecting giant reed Type de document : Article/Communication Auteurs : C. Yang, Auteur ; J. Goolsby, Auteur ; James H. Everitt, Auteur ; Q. Du, Auteur Année de publication : 2012 Article en page(s) : pp 413 - 424 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] classificateur
[Termes IGN] classification barycentrique
[Termes IGN] classification par la distance de Mahalanobis
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] classification Spectral angle mapper
[Termes IGN] espèce exotique envahissante
[Termes IGN] Etats-Unis
[Termes IGN] image aérienne
[Termes IGN] image hyperspectrale
[Termes IGN] macrophyte
[Termes IGN] Mexique
[Termes IGN] Rio Grande (fleuve)Résumé : (Auteur) This study evaluated and compared six image classifiers, including minimum distance (MD), Mahalanobis distance (MAHD), maximum likelihood (ML), spectral angle mapper (SAM), mixture tuned matched filtering (MTMF) and support vector machine (SVM), for detecting and mapping giant reed (Arundo donax L.), an invasive weed that presents a severe threat to agroecosystems throughout the southern US and northern Mexico. Airborne hyperspectral imagery was collected from a giant reed-infested site along the US-Mexican portion of the Rio Grande in 2009 and 2010. The imagery was transformed with minimum noise fraction (MFN) and the six classifiers were applied to the 30-band MNF imagery for each year. Accuracy assessment showed that SVM and ML generally performed better than the other four classifiers for overall classification and for distinguishing giant reed in both years. These results indicate that airborne hyperspectral imagery in conjunction with SVM and ML classification techniques is effective for detecting giant reed. Numéro de notice : A2012-371 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2011.643321 Date de publication en ligne : 04/01/2012 En ligne : https://doi.org/10.1080/10106049.2011.643321 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31817
in Geocarto international > vol 27 n° 5 (August 2012) . - pp 413 - 424[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2012051 RAB Revue Centre de documentation En réserve L003 Disponible Classification of urban tree species using hyperspectral imagery / R. Jensen in Geocarto international, vol 27 n° 5 (August 2012)
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Titre : Classification of urban tree species using hyperspectral imagery Type de document : Article/Communication Auteurs : R. Jensen, Auteur ; P. Hardin, Auteur ; A. Hardin, Auteur Année de publication : 2012 Article en page(s) : pp 443 - 458 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse discriminante
[Termes IGN] analyse en composantes principales
[Termes IGN] arbre (flore)
[Termes IGN] arbre urbain
[Termes IGN] espèce végétale
[Termes IGN] flore urbaine
[Termes IGN] image aérienne
[Termes IGN] image hyperspectrale
[Termes IGN] image infrarouge
[Termes IGN] indice de végétation
[Termes IGN] Utah (Etas-Unis)Résumé : (Auteur) Urban areas serve as humanity's principal habitat. Because of this, it is important to understand the biophysical components of the urban environment – including the urban forest. The goal of this study was to determine the potential to classify individual urban trees as a function of spectral features derived from airborne hyperspectral data. To determine this, 500 urban trees were identified (through fieldwork) in the built-up zone of Provo-Orem, Utah, USA. Visible and near infrared airborne hyperspectral imagery was collected over the same area. The 500 trees were identified on the images, and spectral features of each tree were extracted. Principal components, vegetation indices, band means, and band ratios were all used as features to discriminate between different tree species. The tree classification was 82% accurate when just the six principal components were used. Classification accuracy increased to 91.4% after combining vegetation indices, band mean values and band ratios. Numéro de notice : A2012-373 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2012.687400 Date de publication en ligne : 24/05/2012 En ligne : https://doi.org/10.1080/10106049.2012.687400 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31819
in Geocarto international > vol 27 n° 5 (August 2012) . - pp 443 - 458[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2012051 RAB Revue Centre de documentation En réserve L003 Disponible Estimating irrigated agricultural water use through Landsat TM and a simplified surface energy balance modeling in the semi-arid environments of Arizona / S. Kaplan in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 8 (August 2012)
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Titre : Estimating irrigated agricultural water use through Landsat TM and a simplified surface energy balance modeling in the semi-arid environments of Arizona Type de document : Article/Communication Auteurs : S. Kaplan, Auteur ; S.W. Myint, Auteur Année de publication : 2012 Article en page(s) : pp 849 - 859 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] cultures irriguées
[Termes IGN] évapotranspiration
[Termes IGN] image Landsat-TM
[Termes IGN] Phoenix
[Termes IGN] ressources en eau
[Termes IGN] variation saisonnière
[Termes IGN] zone semi-arideRésumé : (Auteur) Quantifying evapotranspiration (ET) is a key element for achieving better water management, especially in regions where agriculture is the main water consumer. A hybrid model combining the SEBAL and RESET models (S-RESET) was developed to effectively estimate actual ET (water use) of the agriculture sector around the Phoenix metropolitan area. To examine how irrigated agriculture water consumption varies with climate, the S-RESET model was applied under wet and dry climatic conditions. Results show that the average ET for active agriculture is 9.3 mm/day (_ 3.8mm/day) during the study period. Seasonal water use was 438 mm for 2000 (drought) and 494 mm for 2008 (wet). Based on the seasonal ET, we concluded that farmers in arid region use the same amount of water regardless of climatic conditions, implying that the agriculture sector as a whole may not be sensitive to drought as long as there is sufficient water from irrigation. This finding carries significant implications for the region's water security. Numéro de notice : A2012-431 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.8.849 En ligne : https://doi.org/10.14358/PERS.78.8.849 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31877
in Photogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 8 (August 2012) . - pp 849 - 859[article]Fusion of feature selection and optimized immune networks for hyperspectral image classification of urban landscapes / J. Im in Geocarto international, vol 27 n° 5 (August 2012)PermalinkPhenology-based crop classification algorithm and its implications on agricultural water use assessments in California's central valley / L. Zhong in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 8 (August 2012)PermalinkSynthesizing urban remote sensing through application, scale, data and case studies / E.A. Wentz in Geocarto international, vol 27 n° 5 (August 2012)PermalinkCartographier les minorités aux Etats-Unis / Cécile Marin in Carto, le monde en cartes, n° 12 (juillet - aout 2012)PermalinkGenerating sustainable urban form in Detroit. Design applications utilizing Geodesign methodologies / C. Bodurow in Revue internationale de géomatique, vol 22 n° 2 (Juin - août 2012)PermalinkSt-Charles Parish and GNSS signal shadow issues: Satellite shadow reduction technology / K. Corbley in Geoinformatics, vol 15 n° 4 (01/06/2012)PermalinkEstimating geoid height change in North America: past, present and future / T. Jacob in Journal of geodesy, vol 86 n° 5 (May 2012)PermalinkEstimating urban leaf area index (LAI) of individual trees with hyperspectral data / R. Jensen in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 5 (May 2012)PermalinkEvaluation of SMOS soil moisture products over continental U.S. using the SCAN/SNOTEL network / A. Al Bitar in IEEE Transactions on geoscience and remote sensing, vol 50 n° 5 Tome 1 (May 2012)PermalinkPermalink