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A method of downscaling temperature maps based on analytical hillshading for use in species distribution modelling / Ángel M. Felicísimo in Cartography and Geographic Information Science, Vol 45 n° 4 (July 2018)  

Public [article]  inCartography and Geographic Information Science > Vol 45 n° 4 (July 2018) . - pp 329 - 338 Titre : A method of downscaling temperature maps based on analytical hillshading for use in species distribution modelling Type de document : Article/Communication Auteurs : Ángel M. Felicísimo, Auteur ; Miguel A. Martín-Tardío, Auteur Année de publication : 2018 Article en page(s) : pp 329 - 338 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique [Termes IGN] carte climatique [Termes IGN] carte thématique [Termes IGN] distribution spatiale [Termes IGN] estompage analytique [Termes IGN] image Landsat-8 [Termes IGN] modèle numérique de terrain [Termes IGN] rayonnement solaire [Termes IGN] température Résumé : (Auteur) Climate maps have been widely used for the construction of species distribution models. These maps derive from interpolation of data collected by meteorological stations. The sparse distribution of stations generates maps with coarse spatial resolution that are unable to detect microclimates or areas that can serve as plant or animal refuges. This work proposes a method for downscaling temperature maps using the solar radiation falling upon hillsides as predictor for the influence of relief on local variability. Solar irradiance is estimated from a digital elevation model of the study area using a routine based on analytical hillshading. Some examples of downscaling from 1 km to 25 m spatial resolution are shown. The results are compared with the surface temperature maps from Landsat 8 satellite imagery. Numéro de notice : A2018-134 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2017.1338620 Date de publication en ligne : 19/06/2017 En ligne : https://doi.org/10.1080/15230406.2017.1338620 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89666 [article]

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032-2018041	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Detection and labeling of sensitive areas in hydrological cartography using vector statistics / Elia Quirós in IEEE Transactions on geoscience and remote sensing, vol 54 n° 1 (January 2016)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 54 n° 1 (January 2016) . - pp 189 - 196 Titre : Detection and labeling of sensitive areas in hydrological cartography using vector statistics Type de document : Article/Communication Auteurs : Elia Quirós, Auteur ; María-Eugenia Polo, Auteur ; Ángel M. Felicísimo, Auteur Année de publication : 2016 Article en page(s) : pp 189 - 196 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] carte hydrographique [Termes IGN] détection automatique [Termes IGN] données vectorielles [Termes IGN] modèle numérique de terrain [Termes IGN] réseau hydrographique [Termes IGN] statistique descriptive [Termes IGN] système d'information géographique Résumé : (Auteur) The recognition and delineation of hydrological stream lines has, traditionally, been a subjective manual task in cartography. However, digital elevation models (DEMs) are nowadays often employed to extract stream lines automatically, via the use of geographic information systems. Whereas the automatic generation of hydrological networks presents errors, their manual recognition can be almost arbitrary. In this paper, we propose a methodology with which to label potentially sensitive zones in the comparison of hydrological cartographic networks. Two different sources were analyzed: a conventional cartographic stream network, and one automatically extracted from a DEM. The 72 500 vectors of displacement, representing the spatial disagreement (or fit) between the stream networks, were also examined. A number of remarkable distributions of large errors were identified that were a cause for alarm; these errors are here denoted by “warnings” and are classified into six different groups. The displacement vectors were also analyzed in terms of modulus and azimuth, thereby allowing the analysis of the isotropy of the spatial displacements. We propose the use of all of the derived information as metadata for hydrological spatial quality, as well as the extension of the methodology to any other type of cartographic element (roads, cadastral, etc.) for which two different vector format information sources are compared. Numéro de notice : A2016-074 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2015.2453112 En ligne : http://dx.doi.org/10.1109/TGRS.2015.2453112 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79842 [article]

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065-2016011	SL	Revue	Centre de documentation	Revues en salle	Disponible

Estimating the uncertainty of terrestrial laser scanner measurements / M. Polo in IEEE Transactions on geoscience and remote sensing, vol 50 n° 11 Tome 2 (November 2012)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 50 n° 11 Tome 2 (November 2012) . - pp 4804 - 4808 Titre : Estimating the uncertainty of terrestrial laser scanner measurements Type de document : Article/Communication Auteurs : M. Polo, Auteur ; Ángel M. Felicísimo, Auteur ; A. Villanueva, Auteur ; J. Martinez-Del-Pozo, Auteur Année de publication : 2012 Article en page(s) : pp 4804 - 4808 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] estimation statistique [Termes IGN] incertitude de mesurage [Termes IGN] lidar topographique [Termes IGN] précision des données [Termes IGN] R (langage) [Termes IGN] télémètre laser terrestre Résumé : (Auteur) At present, several papers discuss the accuracy and precision of terrestrial laser scanners (TLSs), but the research continues to focus on the behavior of the TLSs. The purpose of this paper is to propose a method to evaluate the uncertainty of a TLS (FARO Photon 80). A rigid and transportable aluminum structure with 28 black-and-white targets was designed for this purpose. The structure was scanned 12 times at several distances from 2 to 70 m, and the x, y, and z coordinates of the center of the targets were automatically identified. Data were analyzed by means of circular and spherical statistics using R modules programmed in our research group. Analysis reveals that 3-D spatial distribution has a stratified pattern in the Z-axis. Regardless of the scanner status, these results indicate that these analyses should be performed periodically because they can have an impact on some studies. The proposed methodology is robust and simple and can be performed with free software such as the R modules used in this work. Numéro de notice : A2012-592 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2192481 Date de publication en ligne : 08/05/2012 En ligne : https://doi.org/10.1109/TGRS.2012.2192481 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32038 [article]

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-2012111B	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Positional accuracy analysis of satellite imagery by circular statistics / A. Cuartero in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 11 (November 2010)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 76 n° 11 (November 2010) . - pp 1275 - 1286 Titre : Positional accuracy analysis of satellite imagery by circular statistics Type de document : Article/Communication Auteurs : A. Cuartero, Auteur ; Ángel M. Felicísimo, Auteur ; M. Polo, Auteur ; A. Caro, Auteur ; P. Rodriguez, Auteur Année de publication : 2010 Article en page(s) : pp 1275 - 1286 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] correction géométrique [Termes IGN] erreur de positionnement [Termes IGN] Estrémadure (Espagne) [Termes IGN] GPS en mode différentiel [Termes IGN] image Terra-ASTER [Termes IGN] positionnement différentiel [Termes IGN] satellite artificiel Résumé : (Auteur) The proposed method in this paper uses circular statistics for the analysis of errors in the positional accuracy of geometric corrections satellite images using Independent Check Lines (ICL) instead of Independent Check Points (ICP). Circular statistics has been preferred because of the vectorial nature of the spatial error. A study case has been presented and discussed in detail. From the terra-aster images of Extremadura area (Spain), the Ground Control Point (GCP), ICP, and ICL data were acquired using differential GPS through field survey, and the planimetric positional accuracy was analyzed by both the conventional method (using ICP) and the proposed method (using ICL). Comparing conventional and proposed methods, the results indicated that modulus statistics are similar (e.g., RMSE of Geometric Correction 1 were 17.5 for the conventional method and 17.2 m for proposed method). But as additional results, azimuthal component statistics was calculated (e.g., mean direction: 247.2° in Geometric Correction 1), and several tests were made which showed the error distribution are not uniform and normal. Numéro de notice : A2010-473 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.76.11.1275 En ligne : https://doi.org/10.14358/PERS.76.11.1275 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30666 [article]

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105-2010112	RAB	Revue	Centre de documentation	En réserve L003	Disponible
105-2010111	RAB	Revue	Centre de documentation	En réserve L003	Disponible