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Assessing the completeness of bicycle trail and lane features in OpenStreetMap for the United States: Completeness of bicycle features in OpenStreetMap / Hartwig H. Hochmair in Transactions in GIS, vol 19 n° 1 (February 2015)
[article]
Titre : Assessing the completeness of bicycle trail and lane features in OpenStreetMap for the United States: Completeness of bicycle features in OpenStreetMap Type de document : Article/Communication Auteurs : Hartwig H. Hochmair, Auteur ; Dennis Zielstra, Auteur ; Pascal Neis, Auteur Année de publication : 2015 Article en page(s) : pp 63 - 81 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] bicyclette
[Termes IGN] exhaustivité des données
[Termes IGN] Miami
[Termes IGN] mise à jour de base de données
[Termes IGN] OpenStreetMapRésumé : (auteur) This article assesses the completeness of bicycle trail and on-street lane features in OpenStreetMap (OSM). Comparing OSM cycling features with reference data from local planning agencies for selected US Urbanized Areas shows that OSM bicycle trails tend to be more completely mapped than bicycle lanes. Manual evaluation of mapped cycling features in OSM and Google Maps for selected test areas within the Central Business Districts of Portland (OR) and Miami (FL) through comparison with governmental datasets, satellite imagery, and Google Street View, shows that the Bicycle layer in Google Maps can help to identify some missing or erroneously mapped OSM cycling links. However, Google Maps was also found to have some gaps in its data layers, suggesting that consultation of current trail and lane data from local planning authorities, if available, should be considered as an additional data source for bicycle related planning projects. Numéro de notice : A2015--119 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1111/tgis.12081 En ligne : http://doi.wiley.com/10.1111/tgis.12081 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102455
in Transactions in GIS > vol 19 n° 1 (February 2015) . - pp 63 - 81[article]Integrating SAR and derived products into operational volcano monitoring and decision support systems / Franz J. Meyer in ISPRS Journal of photogrammetry and remote sensing, vol 100 (February 2015)
[article]
Titre : Integrating SAR and derived products into operational volcano monitoring and decision support systems Type de document : Article/Communication Auteurs : Franz J. Meyer, Auteur ; D.B. McAlpin, Auteur ; W. Gong, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 106 - 117 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Alaska (Etats-Unis)
[Termes IGN] détection de changement
[Termes IGN] éruption volcanique
[Termes IGN] gestion des risques
[Termes IGN] image radar moirée
[Termes IGN] intégration de données
[Termes IGN] séisme
[Termes IGN] série temporelle
[Termes IGN] surveillance géologique
[Termes IGN] volcanRésumé : (auteur) Remote sensing plays a critical role in operational volcano monitoring due to the often remote locations of volcanic systems and the large spatial extent of potential eruption pre-cursor signals. Despite the all-weather capabilities of radar remote sensing and its high performance in monitoring of change, the contribution of radar data to operational monitoring activities has been limited in the past. This is largely due to: (1) the high costs associated with radar data; (2) traditionally slow data processing and delivery procedures; and (3) the limited temporal sampling provided by spaceborne radars. With this paper, we present new data processing and data integration techniques that mitigate some of these limitations and allow for a meaningful integration of radar data into operational volcano monitoring decision support systems. Specifically, we present fast data access procedures as well as new approaches to multi-track processing that improve near real-time data access and temporal sampling of volcanic systems with SAR data. We introduce phase-based (coherent) and amplitude-based (incoherent) change detection procedures that are able to extract dense time series of hazard information from these data. For a demonstration, we present an integration of our processing system with an operational volcano monitoring system that was developed for use by the Alaska Volcano Observatory (AVO). Through an application to a historic eruption, we show that the integration of SAR into systems such as AVO can significantly improve the ability of operational systems to detect eruptive precursors. Therefore, the developed technology is expected to improve operational hazard detection, alerting, and management capabilities. Numéro de notice : A2015-057 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.05.009 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.05.009 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75311
in ISPRS Journal of photogrammetry and remote sensing > vol 100 (February 2015) . - pp 106 - 117[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2015021 RAB Revue Centre de documentation En réserve L003 Disponible Vegetation Burn Severity Mapping Using Landsat-8 and WorldView-2 / Zhuoting Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 2 (February 2015)
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Titre : Vegetation Burn Severity Mapping Using Landsat-8 and WorldView-2 Type de document : Article/Communication Auteurs : Zhuoting Wu, Auteur ; Barry Middleton, Auteur ; Robert Hetzler, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 143 - 154 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Arizona (Etats-Unis)
[Termes IGN] canopée
[Termes IGN] carte thématique
[Termes IGN] dommage matériel
[Termes IGN] données multitemporelles
[Termes IGN] image Landsat-8
[Termes IGN] image Worldview
[Termes IGN] incendie de forêt
[Termes IGN] ressources forestièresRésumé : (auteur) We used remotely sensed data from the Landsat-8 and WorldView-2 satellites to estimate vegetation burn severity of the Creek Fire on the San Carlos Apache Reservation, where wildfire occurrences affect the Tribe’s crucial livestock and logging industries. Accurate pre- and post-fire canopy maps at high (0.5-meter) resolution were created from WorldView-2 data to generate canopy loss maps, and multiple indices from pre- and post-fire Landsat-8 images were used to evaluate vegetation burn severity. Normalized difference vegetation index based vegetation burn severity map had the highest correlation coefficients with canopy loss map from WorldView-2. Two distinct approaches - canopy loss mapping from WorldView-2 and spectral index differencing from Landsat-8 - agreed well with the field-based burn severity estimates and are both effective for vegetation burn severity mapping. Canopy loss maps created with WorldView-2 imagery add to a short list of accurate vegetation burn severity mapping techniques that can help guide effective management of forest resources on the San Carlos Apache Reservation, and the broader fire-prone regions of the Southwest. Numéro de notice : A2015-968 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.81.2.143 En ligne : https://doi.org/10.14358/PERS.81.2.143 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80026
in Photogrammetric Engineering & Remote Sensing, PERS > vol 81 n° 2 (February 2015) . - pp 143 - 154[article]Comparison of methods toward multi-scale forest carbon mapping and spatial uncertainty analysis: combining national forest inventory plot data and landsat TM images / Andrew L. Fleming in European Journal of Forest Research, vol 134 n° 1 (January 2015)
[article]
Titre : Comparison of methods toward multi-scale forest carbon mapping and spatial uncertainty analysis: combining national forest inventory plot data and landsat TM images Type de document : Article/Communication Auteurs : Andrew L. Fleming, Auteur ; Guangxing Wang, Auteur ; Ronald E. McRoberts, Auteur Année de publication : 2015 Article en page(s) : pp 125 - 137 Langues : Anglais (eng) Descripteur : [Termes IGN] carte thématique
[Termes IGN] Etats-Unis
[Termes IGN] Illinois (Etats-Unis)
[Termes IGN] image Landsat-TM
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] prédiction
[Termes IGN] puits de carbone
[Termes IGN] régression linéaire
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) Accurate spatial estimation of forest carbon stocks and their spatial uncertainties at local, regional, national, and global scales is a critical step in global carbon cycle modeling and management. This study aimed at enhancing the methods that are currently used in this area by combining plot data from the forest inventory and analysis program of the U.S. Forest Service and free landsat thematic mapper image data. Three mapping methods including linear regression, sequential Gaussian co-simulation, and block co-simulation algorithm were compared with respect to the accuracy of forest carbon stock estimates obtained for a study area in Southern Illinois, USA. The results indicated that although the linear regression resulted in smaller prediction errors than the sequential Gaussian co-simulation and the block co-simulation approaches, it also produced both negative and unreasonably large estimates, which is a serious drawback. Moreover, the sequential Gaussian co-simulation and the block co-simulation produced not only accurate carbon predictions, but also uncertainties for the local estimates. In addition, the block co-simulation approach scaled up both forest carbon stocks and the input uncertainties from finer to coarser spatial resolutions as is required for mapping forest carbon at national and global scales. Thus, the co-simulation and block co-simulation algorithms resolved an important current methodological challenge. Numéro de notice : A2015-190 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1007/s10342-014-0838-y Date de publication en ligne : 05/08/2014 En ligne : https://doi.org/10.1007/s10342-014-0838-y Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75966
in European Journal of Forest Research > vol 134 n° 1 (January 2015) . - pp 125 - 137[article]Alien species pool influences the level of habitat invasion in intercontinental exchange of alien plants / Veronica Kalusová in Global ecology and biogeography, vol 23 n° 12 (December 2014)
[article]
Titre : Alien species pool influences the level of habitat invasion in intercontinental exchange of alien plants Type de document : Article/Communication Auteurs : Veronica Kalusová, Auteur ; Milan Chytrý, Auteur ; Robert K. Peet, Auteur ; Thomas R. Wentworth, Auteur Année de publication : 2014 Article en page(s) : pp 1366 - 1375 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Caroline du Nord (Etats-Unis)
[Termes IGN] Caroline du Sud (Etats-Unis)
[Termes IGN] espèce exotique envahissante
[Termes IGN] habitat d'espèce
[Termes IGN] habitat forestier
[Termes IGN] placette d'échantillonnage
[Termes IGN] République Tchèque
[Vedettes matières IGN] Ecologie forestièreRésumé : (auteur) Aim : We hypothesize that the level of plant invasion at the scale of vegetation plots is affected by the different sizes of regional species pools of alien plants adapted to particular habitats. We test these species-pool effects in the context of alien species exchange between analogous habitats on two continents.
Location : North and South Carolina, and the Czech Republic (both as native and invaded range).
Methods : We identified native and alien vascular plant species within 6059 vegetation plots from 27 habitats of eastern North America and Central Europe. We compared the habitats’ level of invasion, expressed as the proportion of alien species in a representative sample of vegetation plots from each habitat, with the contribution of each habitat to the alien species pool, calculated as the proportion of species of this habitat that are native to one continent and donated as aliens to the other.
Results : A habitat's level of invasion on one continent increases with the proportion of alien species donated to its regional species pools by analogous habitats on the other continent, i.e. the more of its native species a habitat contributes as aliens, the more of them establish in analogous recipient habitats (direct species-pool effect). The habitat's level of invasion on the same continent also increases with the proportion of native species that those habitats themselves donate to regional species pools on the other continent, i.e. a habitat that gives many aliens also receives many aliens (reciprocal species-pool effect).
Main conclusions : We demonstrate that when a habitat on one continent donates more of its native species to the alien species pool, the analogous habitat on the recipient continent also contains a greater number of aliens. The same donor habitat is itself also the recipient of more alien species invading from the analogous habitats of other continents.Numéro de notice : A2014-791 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1111/geb.12209 En ligne : http://dx.doi.org/10.1111/geb.12209 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80342
in Global ecology and biogeography > vol 23 n° 12 (December 2014) . - pp 1366 - 1375[article]High resolution imagery collection for post-disaster studies utilizing unmanned aircraft systems (UAS) / Stuart M. Adams in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 12 (December 2014)PermalinkModeling use of space from social media data using a biased random walker / Steven D. Prager in Transactions in GIS, vol 18 n° 6 (December 2014)PermalinkRetrieval of spectral reflectance of high resolution multispectral imagery acquired with an autonomous unmanned aerial vehicle: AggieAir™ / Bushra Zaman in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 12 (December 2014)PermalinkInsights on initial perceptions of geomatics by engineering students in their first GIS course / Michael J. Olsen in SaLIS Surveying and land information science, vol 73 n° 2 (November 2014)PermalinkSequential digital elevation models of active lava flows from ground-based stereo time-lapse imagery / M.R. James in ISPRS Journal of photogrammetry and remote sensing, vol 97 (November 2014)PermalinkTiers of floods / Joe Peters in GEO: Geoconnexion international, vol 13 n° 10 (November 2014)PermalinkRank and file / Ray Caputo in GEO: Geoconnexion international, vol 13 n° 8 (september 2014)PermalinkCombining 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)PermalinkMapping 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)PermalinkWetland 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)PermalinkGeostatistical 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