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Improving the upscaling of land cover maps by fusing uncertainty and spatial structure information / Peijun Sun in Photogrammetric Engineering & Remote Sensing, PERS, vol 84 n° 2 (February 2018)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 84 n° 2 (February 2018) . - pp 87 - 100 Titre : Improving the upscaling of land cover maps by fusing uncertainty and spatial structure information Type de document : Article/Communication Auteurs : Peijun Sun, Auteur ; Russell G. Congalton, Auteur ; Yaozhong Pan, Auteur Année de publication : 2018 Article en page(s) : pp 87 - 100 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] Caroline du Sud (Etats-Unis) [Termes IGN] carte agricole [Termes IGN] carte d'occupation du sol [Termes IGN] erreur systématique [Termes IGN] fusion de données [Termes IGN] incertitude des données [Termes IGN] Indiana (Etats-Unis) [Termes IGN] mise à jour de base de données Résumé : (Auteur) Upscaling land cover maps is broadly employed to fill data gaps or match the spatial-resolution of preexisting projects. However, existing methods introduce systematic errors in the area information and the landscape pattern. We developed an upscaling method fusing the spatial structure information (i.e., class Membership probability) and the uncertainty information of the base map (e.g., Confidence level probability), called Fusing class Membership probability and Confidence level probability (FMC). The results showed that FMC obtained higher upscaling efficiency, and mitigated the negative influence of landscape heterogeneity and the negative influence of unequal proportions of land cover in the base maps, on the upscaling compared to Majority Rule Based (MRB) method. Additionally, FMC can reduce the uncertainty/error when these upscaled maps are used as input to Earth observation model (e.g., land cover change). Numéro de notice : A2018-047 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.84.2.87 En ligne : https://doi.org/10.14358/PERS.84.2.87 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89316 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
105-2018021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

An examination of diameter density prediction with k-NN and airborne lidar / Jacob L. Strunk in Forests, vol 8 n° 11 (November 2017)  

Public [article]  inForests > vol 8 n° 11 (November 2017) Titre : An examination of diameter density prediction with k-NN and airborne lidar Type de document : Article/Communication Auteurs : Jacob L. Strunk, Auteur ; Peter J. Gould, Auteur ; Petteri Packalen, Auteur ; Krishna P. Poudel, Auteur ; Hans-Erik Andersen, Auteur ; Hailemariam Temesgen, Auteur Année de publication : 2017 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Caroline du Sud (Etats-Unis) [Termes IGN] classification barycentrique [Termes IGN] classification par la distance de Mahalanobis [Termes IGN] diamètre des arbres [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] inventaire forestier (techniques et méthodes) [Termes IGN] lasergrammétrie [Vedettes matières IGN] Inventaire forestier Résumé : (Auteur) While lidar-based forest inventory methods have been widely demonstrated, performances of methods to predict tree diameters with airborne lidar (lidar) are not well understood. One cause for this is that the performance metrics typically used in studies for prediction of diameters can be difficult to interpret, and may not support comparative inferences between sampling designs and study areas. To help with this problem we propose two indices and use them to evaluate a variety of lidar and k nearest neighbor (k-NN) strategies for prediction of tree diameter distributions. The indices are based on the coefficient of determination (R2), and root mean square deviation (RMSD). Both of the indices are highly interpretable, and the RMSD-based index facilitates comparisons with alternative (non-lidar) inventory strategies, and with projects in other regions. K-NN diameter distribution prediction strategies were examined using auxiliary lidar for 190 training plots distribute across the 800 km2 Savannah River Site in South Carolina, USA. We evaluate the performance of k-NN with respect to distance metrics, number of neighbors, predictor sets, and response sets. K-NN and lidar explained 80% of variability in diameters, and Mahalanobis distance with k = 3 neighbors performed best according to a number of criteria Numéro de notice : A2017-877 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/f8110444 Date de publication en ligne : 16/11/2017 En ligne : https://doi.org/10.3390/f8110444 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91213 [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)  

Public [article]  inGlobal ecology and biogeography > vol 23 n° 12 (December 2014) . - pp 1366 - 1375 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 forestière Résumé : (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 [article]

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)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 23 n°9-10 (september 2009) . - pp 1277 - 1295 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 géométrique Résumé : (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 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-09061	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Integrating LIDAR elevation data, multi-spectral imagery and neural network modelling for marsh characterization / J.T. Morris in International Journal of Remote Sensing IJRS, vol 26 n° 23 (December 2005)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 26 n° 23 (December 2005) . - pp 5221 - 5234 Titre : Integrating LIDAR elevation data, multi-spectral imagery and neural network modelling for marsh characterization Type de document : Article/Communication Auteurs : J.T. Morris, Auteur ; D. Porter, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 5221 - 5234 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Caroline du Sud (Etats-Unis) [Termes IGN] classification dirigée [Termes IGN] classification par réseau neuronal [Termes IGN] données altimétriques [Termes IGN] données lidar [Termes IGN] image ADAR [Termes IGN] image multibande [Termes IGN] marais salant [Termes IGN] niveau moyen des mers [Termes IGN] North American Vertical Datum 1988 [Termes IGN] plante halophile [Termes IGN] réseau neuronal artificiel [Termes IGN] sédimentation [Termes IGN] système de référence géodésique Résumé : (Auteur) Vertical elevation relative to mean sea level is a critical variable for the productivity and stability of salt marshes. This research classified a high spatial resolution Airborne Data Acquisition and Registration (ADAR) digital camera image of a salt marsh landscape at North Inlet, South Carolina, USA using an artificial neural network. The remote sensing-derived thematic map was cross-referenced with Light Detection and Ranging (LIDAR) elevation data to compute the frequency distribution of marsh elevation relative to tidal elevations. At North Inlet, the median elevation of the salt marsh dominated by Spartina alterniflora was 0.349m relative to the North American Vertical Datum 1988 (NAVD88), while the mean high water level was 0.618m (2001 to May, 2003) with a mean tidal range of 1.39m. The distribution of elevations of Spartina habitat within its vertical range was normal, and 80% of the salt marsh was situated between a narrow range of 0.22 m and 0.481 m. Areas classified as Juncus marsh, dominated by Juneus roemerianus, had a broader, skewed distribution, with 80% of the distribution between 0.296 m and 0.981 m and a median elevation of 0.519 m. The Juneus marsh occurs within the intertidal region of brackish marshes and along the upper fringe of salt marshes. The relative elevation of the Spartina marsh at North Inlet is consistent with recent work that predicts a decrease in equilibrium elevation with an increasing rate of sea-level rise and suggests that the marshes here have not kept up with an increase in the rate of sea-level rise during the last two decades. Numéro de notice : A2005-515 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500219018 En ligne : https://doi.org/10.1080/01431160500219018 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27651 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-05231	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt

Continental scale variability in vegetation reflectance and its relationship to canopy morphology / D.S. Bartlett in International Journal of Remote Sensing IJRS, vol 9 n° 7 (July 1988)  

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Remote sensing and geographic information system techniques for aquatic resource evaluation / R. Welch in Photogrammetric Engineering & Remote Sensing, PERS, vol 54 n° 2 (february 1988)  

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The South Carolina coastline on historical maps : a cartometric analysis / R. Lloyd in Cartographic journal (the), vol 24 n° 1 (June 1987)  

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