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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 Use of high-resolution satellite data, GIS and NRCS-CN technique for the estimation of rainfall-induced run-off in small catchment of Jharkhand India / Anamika Shalini Tirkey in Geocarto international, vol 29 n° 7 - 8 (November - December 2014)
[article]
Titre : Use of high-resolution satellite data, GIS and NRCS-CN technique for the estimation of rainfall-induced run-off in small catchment of Jharkhand India Type de document : Article/Communication Auteurs : Anamika Shalini Tirkey, Auteur ; A. C. Pandey, Auteur ; M.S. Nathawat, Auteur Année de publication : 2014 Article en page(s) : pp 778 - 791 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse diachronique
[Termes IGN] bassin hydrographique
[Termes IGN] débit
[Termes IGN] estimation statistique
[Termes IGN] image à haute résolution
[Termes IGN] image satellite
[Termes IGN] précipitationRésumé : (Auteur) The present study demonstrates the use of NRCS-CN technique for rainfall-induced run-off estimation using high-resolution satellite data for small watershed of Palamu district, Jharkhand. The CN model was applied to the daily rainfall data of 15 years (1986–2000) along with use of large-scale thematic maps (1:10,000) pertaining to land use/land cover using IRS-P6 LISS-IV satellite data. The LU/LC map was spatially intersected with the hydrological soil group map to calculate the watershed area under different hydrological similar units for assigning CN values to compute discharge. The study showed that Daltonganj watershed exhibits an average run-off volume of 7,881,019 m3 from an average cumulative monsoon rainfall of 821 mm and the average actual direct run-off generated during the southwest monsoon season was 203 mm. The strong correlation between rainfall and run-off as well as between observed run-off and estimated run-off indicated high accuracy of run-off estimation by NRCS-CN technique. Numéro de notice : A2014-467 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2013.841773 En ligne : https://doi.org/10.1080/10106049.2013.841773 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74044
in Geocarto international > vol 29 n° 7 - 8 (November - December 2014) . - pp 778 - 791[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2014041 RAB Revue Centre de documentation En réserve L003 Disponible Deriving airborne laser scanning based computational canopy volume for forest biomass and allometry studies / Jari Vauhkonen in ISPRS Journal of photogrammetry and remote sensing, vol 96 (October 2014)
[article]
Titre : Deriving airborne laser scanning based computational canopy volume for forest biomass and allometry studies Type de document : Article/Communication Auteurs : Jari Vauhkonen, Auteur ; Erik Naesset, Auteur ; Terje Gobakken, Auteur Année de publication : 2014 Article en page(s) : pp 57 -66 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] biomasse
[Termes IGN] canopée
[Termes IGN] données lidar
[Termes IGN] estimation statistique
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] troncRésumé : (Auteur)A computational canopy volume (CCV) based on airborne laser scanning (ALS) data is proposed to improve predictions of forest biomass and other related attributes like stem volume and basal area. An approach to derive the CCV based on computational geometry, topological connectivity and numerical optimization was tested with sparse-density, plot-level ALS data acquired from 40 field sample plots of 500–1000 m2 located in a boreal forest in Norway. The CCV had a high correspondence with the biomass attributes considered when derived from optimized filtrations, i.e. ordered sets of simplices belonging to the triangulations based on the point data. Coefficients of determination (R2) between the CCV and total above-ground biomass, canopy biomass, stem volume, and basal area were 0.88–0.89, 0.89, 0.83–0.97, and 0.88–0.92, respectively, depending on the applied filtration. The magnitude of the required filtration was found to increase according to an increasing basal area, which indicated a possibility to predict this magnitude by means of ALS-based height and density metrics. A simple prediction model provided CCVs which had R2 of 0.77–0.90 with the aforementioned forest attributes. The derived CCVs always produced complementary information and were mainly able to improve the predictions of forest biomass relative to models based on the height and density metrics, yet only by 0–1.9 percentage points in terms of relative root mean squared error. Possibilities to improve the CCVs by a further analysis of topological persistence are discussed. Numéro de notice : A2014-384 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.07.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.07.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73811
in ISPRS Journal of photogrammetry and remote sensing > vol 96 (October 2014) . - pp 57 -66[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2014101 RAB Revue Centre de documentation En réserve L003 Disponible Geostatistical estimation of signal-to-noise ratios for spectral vegetation indices / L. Ji in ISPRS Journal of photogrammetry and remote sensing, vol 96 (October 2014)
[article]
Titre : Geostatistical estimation of signal-to-noise ratios for spectral vegetation indices Type de document : Article/Communication Auteurs : L. Ji, Auteur ; Li Zhang, Auteur ; Jennifer Rover, Auteur Année de publication : 2014 Article en page(s) : pp 20 - 47 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement du signal
[Termes IGN] bruit (théorie du signal)
[Termes IGN] estimation statistique
[Termes IGN] géostatistique
[Termes IGN] indice de végétationRésumé : (Auteur) In the past 40 years, many spectral vegetation indices have been developed to quantify vegetation biophysical parameters. An ideal vegetation index should contain the maximum level of signal related to specific biophysical characteristics and the minimum level of noise such as background soil influences and atmospheric effects. However, accurate quantification of signal and noise in a vegetation index remains a challenge, because it requires a large number of field measurements or laboratory experiments. In this study, we applied a geostatistical method to estimate signal-to-noise ratio (S/N) for spectral vegetation indices. Based on the sample semivariogram of vegetation index images, we used the standardized noise to quantify the noise component of vegetation indices. In a case study in the grasslands and shrublands of the western United States, we demonstrated the geostatistical method for evaluating S/N for a series of soil-adjusted vegetation indices derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor. The soil-adjusted vegetation indices were found to have higher S/N values than the traditional normalized difference vegetation index (NDVI) and simple ratio (SR) in the sparsely vegetated areas. This study shows that the proposed geostatistical analysis can constitute an efficient technique for estimating signal and noise components in vegetation indices. Numéro de notice : A2014-382 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.06.013 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.06.013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73809
in ISPRS Journal of photogrammetry and remote sensing > vol 96 (October 2014) . - pp 20 - 47[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2014101 RAB Revue Centre de documentation En réserve L003 Disponible TanDEM-X Pol-InSAR performance for forest height estimation / Florian Kugler in IEEE Transactions on geoscience and remote sensing, vol 52 n° 10 tome 1 (October 2014)
[article]
Titre : TanDEM-X Pol-InSAR performance for forest height estimation Type de document : Article/Communication Auteurs : Florian Kugler, Auteur ; D. Schulze, Auteur ; Irena Hajnsek, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 6404 - 6422 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] estimation statistique
[Termes IGN] forêt
[Termes IGN] hauteur des arbres
[Termes IGN] image TanDEM-X
[Termes IGN] interférométrie
[Termes IGN] interféromètrie par radar à antenne synthétiqueRésumé : (Auteur) TanDEM-X and TerraSAR-X platforms form together the first spaceborne single-pass polarimetric interferometer in space. This allows, for the first time, the acquisition of spaceborne polarimetric synthetic aperture radar interferometry (Pol-InSAR) data without the disturbing effect of temporal decorrelation. This paper aims to assess the potential of such data for forest applications. For this, single- and dual-pol data acquired over a boreal, a temperate, and a tropical site were investigated to characterize X-band penetration and polarization diversity of the interferometric coherence measurements. Pol-InSAR forest height inversion schemes have been proposed and implemented for the singleand dual-pol cases and cross validated against LIDAR reference measurements for all sites. The single-pol inversion relies on an external ground digital terrain model (DTM) and performed well for all sites with correlation coefficients r2 between 0.80 and 0.98. The dual-pol inversion does not require an external DTM but depends on the visibility of the whole forest layer. Accordingly, its performance varied with forest structure and season: The best performance was achieved for the summer acquisition of the boreal test site (r2 = 0.86) and for the winter acquisition of the temperate test site (r2 = 0.77). For the tropical test site, only a weak correlation (r2 = ~0.50) could be established. Numéro de notice : A2014-482 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2296533 En ligne : https://doi.org/10.1109/TGRS.2013.2296533 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74065
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 10 tome 1 (October 2014) . - pp 6404 - 6422[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2014101A RAB Revue Centre de documentation En réserve L003 Disponible Image matching using SIFT features and relaxation labeling technique—A constraint initializing method for dense stereo matching / Jyoti Joglekar in IEEE Transactions on geoscience and remote sensing, vol 52 n° 9 Tome 1 (September 2014)PermalinkSingle frequency GPS/Galileo precise point positioning using un-differenced and between-satellite single difference measurements / Akram Afifi in Geomatica, vol 68 n° 3 (September 2014)PermalinkSpatial analysis of coastal chalk cliff falls in upper Normandy (France). From Veules-les-Roses to Le Treport (2002-2009) / Pauline Letortu in Revue internationale de géomatique, vol 24 n° 3 (septembre - novembre 2014)PermalinkStudying commuting behaviours using collaborative visual analytics / Roger Beecham in Computers, Environment and Urban Systems, vol 47 (September 2014)PermalinkAn intelligent approach towards automatic shape modelling and object extraction from satellite images using cellular automata based algorithm / P. V. Arun in Geocarto international, vol 29 n° 5 - 6 (August - October 2014)PermalinkA class of cloud detection algorithms based on a MAP-MRF approach in space and time / Gemine Vivone in IEEE Transactions on geoscience and remote sensing, vol 52 n° 8 Tome 2 (August 2014)PermalinkEstimation harmonisée du volume de tige à différentes découpes / Christine Deleuze in Rendez-vous techniques, n° 44 (printemps 2014)PermalinkEstimer le volume total d’un arbre, quelles que soient l’essence, la taille, la sylviculture, la station / Christine Deleuze in Rendez-vous techniques, n° 44 (printemps 2014)PermalinkEvaluation de techniques d'interpolation spatiale de la piézométrie à l'aide de l'extension Geostatistical Analyst d'ArcGIS : Cas du système aquifère phréatique de Sfax (Tunisie) / Ibtissem Triki in Géomatique expert, n° 99 (01/07/2014)PermalinkCloud removal for remotely sensed images by similar pixel replacement guided with a spatio-temporal MRF model / Qing Cheng in ISPRS Journal of photogrammetry and remote sensing, vol 92 (June 2014)Permalink