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A user study of experimental maps for outdoor activities / Juha Oksanen in Cartographica, vol 49 n° 3 (September 2014)
[article]
Titre : A user study of experimental maps for outdoor activities Type de document : Article/Communication Auteurs : Juha Oksanen, Auteur ; Hanna-Marika Halkosaari, Auteur ; Tapani Sarjakoski, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 188 -201 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] analyse des correspondances
[Termes IGN] carte numérique
[Termes IGN] conception cartographique
[Termes IGN] données topographiquesRésumé : (Auteur) This article presents results from a user study on experimental maps created for outdoor activities and demonstrates methods suitable for analyzing the map survey data. The first goal of the study was to find out to what degree the experimental maps created for the study satisfy the needs of map users in general. The second was a detailed exploration of opinions on the different map types to look for trends related to age, frequency of map use, or amount of time spent in nature. A third goal was to gauge interest and willingness to pay for experimental maps as printed products. In addition, the article demonstrates how cross-tabulation and correspondence analysis can be used to conduct versatile quantitative analysis and interpret map survey data. The survey results suggest that the conventional topographic-map-like products for outdoor activities currently offered by map publishers should be supplemented by new kinds of maps to attract and educate digital natives to become active map users. At the same time, the quality of information and representation of terrain accessibility on maps for outdoor activities must not be compromised simply to fulfil the broad-based needs of map users. Numéro de notice : A2014-507 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3138/carto.49.3.2185 En ligne : http://www.utpjournals.press/doi/full/10.3138/carto.49.3.2185 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74099
in Cartographica > vol 49 n° 3 (September 2014) . - pp 188 -201[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 031-2014031 RAB Revue Centre de documentation En réserve L003 Disponible Advanced differential interferometry synthetic aperture radar techniques for deformation monitoring: a review on sensors and recent research development / O. Idrees Mohammed in Geocarto international, vol 29 n° 5 - 6 (August - October 2014)
[article]
Titre : Advanced differential interferometry synthetic aperture radar techniques for deformation monitoring: a review on sensors and recent research development Type de document : Article/Communication Auteurs : O. Idrees Mohammed, Auteur ; Vahideh Saeidi, Auteur ; Biswajeet Pradhan, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 536-553 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] analyse comparative
[Termes IGN] bande P
[Termes IGN] bande X
[Termes IGN] coin réflecteur
[Termes IGN] image ALOS-PALSAR
[Termes IGN] image Sentinel-SAR
[Termes IGN] interferométrie différentielle
[Termes IGN] interféromètrie par radar à antenne synthétiqueRésumé : (auteur) This paper reviews the advanced differential interferometry synthetic aperture radar (A-DInSAR) techniques, with two major components in focus. First is the basic concepts, synthetic aperture radar (SAR) data sources and the different algorithms documented in the literature, primarily focusing on persistent scatterers. In the second part, the techniques are compared in order to establish more linkage in terms of the variability of their applications, strength and validation of the interpreted results. Also, current issues in sensor and algorithm development are discussed. The study identified six existing A-DInSAR algorithms used for monitoring various deformation types. Generally, reports of their performance indicate that all the techniques are capable of measuring deformation phenomena at varying spatial resolution with high level of accuracy. However, their usability in suburban and vegetated areas yields poor results, compared to urbanized areas, due to inadequate permanent features that could provide sufficient coherent point targets. Meanwhile, there is continuous development in sensors and algorithms to expand the applicability domain of the technology for a wide range of deformable surfaces and displacement patterns with higher precision. On the sensor side, most of the latest SAR sensors employ longer wavelength (X and P bands) to increase the penetrating power of the signal and two other sensors (ALOS-2 PALSA-2 and SENTINEL-1) are scheduled to be launched in 2013. Researchers are investigating the possibility of using single-pass sensors with different look angles for SAR data collection. With these, it is expected that more data will be available for various applications. Algorithms such as corner reflector interferometry SAR, along track interferometry, liqui-InSAR, and squeeSAR are emerging to increase reliable estimation of deformation from different surfaces. Numéro de notice : A2014-411 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2013.807305 En ligne : http://www.tandfonline.com/doi/full/10.1080/10106049.2013.807305 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73948
in Geocarto international > vol 29 n° 5 - 6 (August - October 2014) . - pp 536-553[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2014031 RAB Revue Centre de documentation En réserve L003 Disponible Automated hyperspectral vegetation index retrieval from multiple correlation matrices with HyperCor / Helge Aasen in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 8 (August 2014)
[article]
Titre : Automated hyperspectral vegetation index retrieval from multiple correlation matrices with HyperCor Type de document : Article/Communication Auteurs : Helge Aasen, Auteur ; Martin Leon Gnyp, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp. 785 - 795 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] appariement d'images
[Termes IGN] image hyperspectrale
[Termes IGN] indice de végétation
[Termes IGN] logiciel de corrélation
[Termes IGN] matriceRésumé : (Auteur) Hyperspectral vegetation indices have shown high potential for characterizing, classifying, monitoring, and modeling of vegetation and agricultural crops. Correlation matrices from hyperspectral vegetation indices and plant growth parameters help select important wavelength domains and identify redundant bands.
We introduce the software HyperCor for automated pre-processing of narrowband hyperspectral field data and computation of correlation matrices. In addition, we propose a multi-correlation matrix strategy which combines multiple correlation matrices from different datasets and uses more information from each matrix.
We apply this method to a large multi-temporal spectral li-brary to derive vegetation indices and related regression mod-els for rice biomass detection in the tillering, stem elongation, heading and across all growth stages. The models are cali¬brated with data from three consecutive years and validated with two other years. The results reveal that the multi-corre¬lation matrix strategy can improve the model performance by 10 to 62 percent, depending on the growth stage.Numéro de notice : A2014-346 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.8.745 En ligne : https://doi.org/10.14358/PERS.80.8.745 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73719
in Photogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 8 (August 2014) . - pp. 785 - 795[article]A 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)
[article]
Titre : A class of cloud detection algorithms based on a MAP-MRF approach in space and time Type de document : Article/Communication Auteurs : Gemine Vivone, Auteur ; Paolo Adesso, Auteur ; Maurizio Longo, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 5100 - 5115 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] champ aléatoire de Markov
[Termes IGN] classification
[Termes IGN] corrélation croisée maximale
[Termes IGN] densité de probabilité
[Termes IGN] détection des nuagesRésumé : (Auteur) A recurrent concern in cloud detection approaches is the high misclassification rate for pixels close to cloud edges. We tackle this problem by introducing a novel penalty term within the classical maximum a posteriori probability-Markov random field (MAP-MRF) approach. To improve the classification rate, such term, for which we suggest two different functional forms, accounts for the predictable motion of cloud volumes across images. Two mass tracking techniques are proposed. The first one is an effective and efficient implementation of the probability hypothesis density (PHD) filter, which is based on Gaussian mixtures (GMs) and relies on finite set statistics (FISST). The second one is a region matching procedure based on a maximum cross-correlation (MCC) that is characterized by low computational load. Through extensive tests on simulated images and real data, acquired by the SEVIRI sensor, both methods show a clear performance gain in comparison with classical spatial MRF-based algorithms. Numéro de notice : A2014-435 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2286834 En ligne : https://doi.org/10.1109/TGRS.2013.2286834 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73972
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 8 Tome 2 (August 2014) . - pp 5100 - 5115[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2014081B RAB Revue Centre de documentation En réserve L003 Disponible Coastal and marine ecological changes and fish cage culture development in Phu Quoc, Vietnam (2001 to 2011) / Diep Thi Hong Nguyen in Geocarto international, vol 29 n° 5 - 6 (August - October 2014)
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Titre : Coastal and marine ecological changes and fish cage culture development in Phu Quoc, Vietnam (2001 to 2011) Type de document : Article/Communication Auteurs : Diep Thi Hong Nguyen, Auteur ; Nitin Kumar Tripathi, Auteur ; Wenresti G. Gallardo, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 486-506 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] classification orientée objet
[Termes IGN] détection de changement
[Termes IGN] eaux côtières
[Termes IGN] herbier marin
[Termes IGN] image ALOS-AVNIR2
[Termes IGN] image Landsat-TM
[Termes IGN] image Theos
[Termes IGN] milieu marin
[Termes IGN] qualité des eaux
[Termes IGN] Viet NamRésumé : (auteur) This study employed image enhancement for LANDSAT TM and ALOS imagery to monitor the changing status of coastal resources from 2001 to 2011, object-based classification of high-resolution THEOS imagery to extract fish cage culture sites and interpolation methods to determine marine environmental quality in 2011 in the northern part of Phu Quoc Island. There were five classes in the study site: natural forest, Melaleuca forest, agriculture, peat and built-up areas. Agricultural land and Melaleuca forest changing into built-up areas constituted approximately 51.13% of the total area changing. The benthic seagrass habitat increased dramatically from 2001 to the end of 2010. Besides, marine culture has been concerned to cage culture which is one of the sources directly affecting aquatic life and water quality in coastal environment. Cage culture locations were detected using high-resolution imagery as THEOS data for image fusion and Object-based Image Analysis methods. Water quality criteria including nitrogen, phosphorus and chlorophyll-a concentrations were determined by interpolation method, and the spatial distribution of these parameters showed a concentration in the study area in the range from 0.17 to 0.49 mg/L, 0.012 to 0.073 mg/L and 0.26 to 1.046 μg/L, respectively. Numéro de notice : A2014-408 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2013.798358 En ligne : http://www.tandfonline.com/doi/full/10.1080/10106049.2013.798358 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73945
in Geocarto international > vol 29 n° 5 - 6 (August - October 2014) . - pp 486-506[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2014031 RAB Revue Centre de documentation En réserve L003 Disponible Effects of cartographic elevation visualizations and map-reading tasks on eye movements / Katja Putto in Cartographic journal (the), vol 51 n° 3 (August 2014)PermalinkEstimation of the timber quality of scots pine with terrestrial laser scanning / Ville Kankare in Forests, vol 5 n° 8 (August 2014)PermalinkGeospatial method for computing supplemental multi-decadal US coastal land use and land cover classification products, using Landsat data and C-CAP products / Joseph P. Spruce in Geocarto international, vol 29 n° 5 - 6 (August - October 2014)PermalinkHyperspectral data dimensionality reduction and the impact of multi-seasonal Hyperion EO-1 imagery on classification accuracies of tropical forest species / Manjit Saini in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 8 (August 2014)PermalinkHyperspectral remote sensing image subpixel target detection based on supervised metric learning / Lefei Zhang in IEEE Transactions on geoscience and remote sensing, vol 52 n° 8 Tome 2 (August 2014)PermalinkKernel sparse multitask learning for hyperspectral image classification with empirical mode decomposition and morphological wavelet-based features / Z. He in IEEE Transactions on geoscience and remote sensing, vol 52 n° 8 Tome 2 (August 2014)PermalinkSpatial and temporal change in landslide hazard by future climate change scenarios using probabilistic-based frequency ratio model / Moung-Jin Lee in Geocarto international, vol 29 n° 5 - 6 (August - October 2014)PermalinkAlley coppice—a new system with ancient roots / Christopher D. Morhart in Annals of Forest Science, vol 71 n° 5 (July - August 2014)PermalinkAn inventory of the above ground biomass in the Mau Forest Ecosystem, Kenya / Mwangi James Kinyanjui in Open journal of forestry, vol 4 n° 10 (July 2014)PermalinkCompression of trajectory data: a comprehensive evaluation and new approach / Jonathan Muckell in Geoinformatica, vol 18 n° 3 (July 2014)Permalink