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Landscape metrics for analysing urbanization-induced land use and land cover changes / Hua Liu in Geocarto international, vol 28 n° 7-8 (November - December 2013)
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[article]
Titre : Landscape metrics for analysing urbanization-induced land use and land cover changes Type de document : Article/Communication Auteurs : Hua Liu, Auteur ; Qihao Weng, Auteur Année de publication : 2013 Article en page(s) : pp 582 - 593 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse diachronique
[Termes IGN] changement d'occupation du sol
[Termes IGN] changement d'utilisation du sol
[Termes IGN] classification dirigée
[Termes IGN] image Landsat-TM
[Termes IGN] image Terra-ASTER
[Termes IGN] Indianapolis
[Termes IGN] métrique
[Termes IGN] prairie
[Termes IGN] surface cultivée
[Termes IGN] urbanisationRésumé : (Auteur) The objective of this study is to assess the effectiveness of landscape metrics in quantifying the urbanization-induced land use and land cover (LULC) changes from a landscape ecology perspective using the City of Indianapolis, Indiana, USA as a case study. Two Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images, acquired on 3 October 2000 and 13 October 2006, respectively, and two Landsat 5 Thematic Mapper images, acquired on 22 October 1989 and 20 October 2000, respectively, were used for the study. Seven LULC types were identified: urban, agriculture, grasslands, forest, water, barren lands and wetlands. A series of landscape metrics were then computed for each LULC type and these metrics were used to compare the two ASTER-derived LULC maps with the two Landsat-derived maps. Results show that urbanization contributed significantly to LULC changes in the study area. Agricultural lands decreased and forests became more disaggregated. Grassland increased slightly in size and aggregation level and improved in connectedness. Numéro de notice : A2013-699 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2012.752530 Date de publication en ligne : 06/02/2013 En ligne : https://doi.org/10.1080/10106049.2012.752530 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32835
in Geocarto international > vol 28 n° 7-8 (November - December 2013) . - pp 582 - 593[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2013041 RAB Revue Centre de documentation En réserve L003 Disponible Large-scale classification of water areas using airborne topographic lidar data / Julien Smeeckaert in Remote sensing of environment, vol 138 (November 2013)
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Titre : Large-scale classification of water areas using airborne topographic lidar data Type de document : Article/Communication Auteurs : Julien Smeeckaert, Auteur ; Clément Mallet , Auteur ; Nicolas David
, Auteur ; Nesrine Chehata
, Auteur ; António Ferraz
, Auteur
Année de publication : 2013 Article en page(s) : pp 134 - 148 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] grande échelle
[Termes IGN] littoral
[Termes IGN] modèle numérique de terrain
[Termes IGN] rive
[Termes IGN] rivière
[Termes IGN] semis de points
[Termes IGN] trait de côteRésumé : (auteur) Accurate Digital Terrain Models (DTMs) are inevitable inputs for mapping and analyzing areas subject to natural hazards. Topographic airborne laser scanning has become an established technique to characterize the Earth's surface: lidar provides 3D point clouds allowing for a fine reconstruction of the topography while preserving high frequencies of the relief. For flood hazard modeling, the key step, before going onto terrain modeling, is the discrimination of land and water areas within the delivered point clouds. Therefore, instantaneous shorelines, river banks, and inland waters can be extracted as a basis for more reliable DTM generation. This paper presents an automatic, efficient, and versatile workflow for land/water classification of airborne topographic lidar points, effective at large scales (>300 km2). For that purpose, the Support Vector Machine (SVM) method is used as a classification framework and it is embedded in a workflow designed for our specific goal. First, a restricted but carefully designed set of features, based only on 3D lidar point coordinates and flightline information, is defined as classifier input. Then, the SVM learning step is performed on small but well-targeted areas thanks to a semiautomatic region growing strategy. Finally, label probability output by SVM is merged with contextual knowledge during a probabilistic relaxation step in order to remove pixel-wise misclassification. Results show that a survey of hundreds of millions of points are labeled with high accuracy (>95% in most cases for coastal areas, and >90% for rivers) and that small natural and anthropic features of interest are still well classified even though we work at lowpoint densities (0.5–4 pts/m2). We also noticed that it may fail in water-logged areas. Nevertheless, our approach remains valid for regional and national mapping purposes, coasts and rivers, and provides a strong basis for further discrimination of land-cover classes and coastal habitats. Numéro de notice : A2013-792 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2013.07.004 Date de publication en ligne : 15/08/2013 En ligne : https://doi.org/10.1016/j.rse.2013.07.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80174
in Remote sensing of environment > vol 138 (November 2013) . - pp 134 - 148[article]A method to generalize stream flowlines in small-scale maps by a variable flow-based pruning threshold / Michael Tinker in Cartography and Geographic Information Science, vol 40 n° 5 (November 2013)
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Titre : A method to generalize stream flowlines in small-scale maps by a variable flow-based pruning threshold Type de document : Article/Communication Auteurs : Michael Tinker, Auteur ; Peter Anthamatten, Auteur ; Jeff Simley, Auteur ; Michael P. Finn, Auteur Année de publication : 2013 Article en page(s) : pp 444 - 457 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] courant fluvial
[Termes IGN] débit
[Termes IGN] données hydrographiques
[Termes IGN] Etats-Unis
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] hydrographie de surface
[Termes IGN] précipitation
[Termes IGN] régression
[Termes IGN] représentation cartographique
[Termes IGN] seuillageRésumé : (Auteur) The aim of this paper is to explore and describe a method of automated generalization designed to produce a map which strikes a balance between cartographic and hydrologic representations. Following a discussion of scholarly literature on generalization, we describe a novel method for automated generalization of hydrographic stream data, using the National Hydrography Data Set (NHDPlus) as an example. Traditional hydrography shows a fairly uniform density of stream flowlines over space. While this is pleasing to the eye, traditional methods tend to under-represent rivers in humid areas and over-represent them in arid areas. We address this problem through a method in automated generalization to produce a high-quality presentation of hydrographic data, suitable for display as a wall map or in an atlas. Streams are pruned based on a variable flow threshold, derived from the local mean annual precipitation by a regression equation. After running the model using different parameters, we produce a more satisfactory portrayal of stream networks in the United States that communicates the flow of water through rivers and reflects the regional climate. Specific advantages in generalizing with variable flow threshold include (1) the method allows for fine gradations in output scale; (2) the output maps tend to minimize density variations in the raw data; (3) the subjective criteria are easily derived; and (4) the method can be performed rapidly on large data sets, as long as the stream data has been enriched with reliable flow rates. Numéro de notice : A2013-765 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/15230406.2013.801701 En ligne : https://doi.org/10.1080/15230406.2013.801701 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32901
in Cartography and Geographic Information Science > vol 40 n° 5 (November 2013) . - pp 444 - 457[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-2013051 RAB Revue Centre de documentation En réserve L003 Disponible Modeling of spatio-temporal dynamics of land use and land cover in a part of Brahmaputra River basin using Geoinformatic techniques / M. Sarabuddin Mondal in Geocarto international, vol 28 n° 7-8 (November - December 2013)
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Titre : Modeling of spatio-temporal dynamics of land use and land cover in a part of Brahmaputra River basin using Geoinformatic techniques Type de document : Article/Communication Auteurs : M. Sarabuddin Mondal, Auteur ; Nayan Sharma, Auteur ; Martin Kappas, Auteur ; Pradeep Kumar Garg, Auteur Année de publication : 2013 Article en page(s) : pp 632 - 656 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] automate cellulaire
[Termes IGN] bassin hydrographique
[Termes IGN] Brahmapoutre (fleuve)
[Termes IGN] carte d'occupation du sol
[Termes IGN] champ aléatoire de Markov
[Termes IGN] classification dirigée
[Termes IGN] image multitemporelle
[Termes IGN] Inde
[Termes IGN] modèle conceptuel de données spatio-temporelles
[Termes IGN] occupation du sol
[Termes IGN] processus spatio-temorel
[Termes IGN] utilisation du solRésumé : (Auteur) An attempt has been made to explore and evaluate the Cellular Automata (CA) Markov modelling to monitor and predict the future land use and land cover (LULC) scenario in a part of Brahmaputra River basin using LULC maps derived from multi-temporal satellite images. CA Markov is a combined cellular automata/Markov chain/multi-criteria/multi-objective land allocation (MOLA) LULC prediction procedure that adds an element of spatial contiguity as well as knowledge base of the likely spatial distribution of transitions to Markov chain analysis. Evidence likelihood map was used for as knowledge base of the likely spatial procedure in CA Markov model. The predicting quantity and predicting location change have been analysed and statistically evaluated. The validation statistics indicated how well the comparison map agreed and disagreed with the reference map. Predicted results accuracy is slightly higher when compare to others studies of LULC change using CA Markov approaches. Numéro de notice : A2013-701 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2013.776641 Date de publication en ligne : 01/08/2013 En ligne : https://doi.org/10.1080/10106049.2013.776641 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32837
in Geocarto international > vol 28 n° 7-8 (November - December 2013) . - pp 632 - 656[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2013041 RAB Revue Centre de documentation En réserve L003 Disponible Parcel-level identification of crop types using different classification algorithms and multi-resolution imagery in southeastern Turkey / Ugur Alganci in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 11 (November 2013)
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Titre : Parcel-level identification of crop types using different classification algorithms and multi-resolution imagery in southeastern Turkey Type de document : Article/Communication Auteurs : Ugur Alganci, Auteur ; Elif Sertel, Auteur ; Mutlu Ozdogan, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 1053 - 1065 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] carte agricole
[Termes IGN] classification orientée objet
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] classification Spectral angle mapper
[Termes IGN] cultures
[Termes IGN] image Landsat-TM
[Termes IGN] image SPOT 5
[Termes IGN] occupation du sol
[Termes IGN] parcelle agricole
[Termes IGN] photo-interprétation assistée par ordinateur
[Termes IGN] TurquieRésumé : (Auteur) This research investigates the accuracy of pixel- and object-based classification techniques across varying spatial resolutions to identify crop types at parcel level and estimate the area at six test sites to find the optimum data source for the identification of crop parcels. Multi-sensor data with spatial resolutions of 2.5 m, 5 m and 10 m from SPOT5 and 30 m from Landsat-5 TM were used. Maximum Likelihood (ML), Spectral Angle Mapper (SAM), and Support Vector Machines (SVM) were used as pixel-based methods in addition to object-based image classification (OBC). Post-classification methods were applied to the output of pixel-based classification to minimize the noise effects and heterogeneity within the agricultural parcels. In addition, processing-time performance of the algorithms was evaluated for the test sites and district scale classification. OBC results provided comparatively the best performance for both parcel identification and area estimation at 10 m and finer spatial resolution levels. SVM followed OBC at 2.5 m and 5 m resolutions but accuracies decreased dramatically with coarser resolutions. ML and SAM results were worse up to 30 m resolution for both crop type identification and area estimation. In general, parcel identification efficiency was strongly correlated with spatial resolution while the classification algorithm was a more effective factor than spatial resolution for area estimation accuracy. Results also provided an opportunity to discuss the effects of image resolution and the classification algorithm independent factors such as parcel size, spatial distribution of crop types and crop patterns. Numéro de notice : A2013-599 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.79.11.1053 En ligne : https://doi.org/10.14358/PERS.79.11.1053 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32735
in Photogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 11 (November 2013) . - pp 1053 - 1065[article]Scale-specific automated line simplification by vertex clustering on a hexagonal tessellation / Paulo Raposo in Cartography and Geographic Information Science, vol 40 n° 5 (November 2013)
PermalinkA semi-ellipsoid-model based fuzzy classifier to map grassland in Inner Mongolia, China / Hai Lan in ISPRS Journal of photogrammetry and remote sensing, vol 85 (November 2013)
PermalinkLa télédétection au service des études urbaines : expansion de la ville de Pondichéry entre 1973 et 2009 / Emilien Kieffer in Géomatique expert, n° 95 (01/11/2013)
PermalinkThe design and composition of persuasive maps / Ian Muehlenhaus in Cartography and Geographic Information Science, vol 40 n° 5 (November 2013)
PermalinkUpdating land cover databases using a single very high resolution satellite image / Adrien Gressin in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 W2 (November 2013)
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PermalinkApport de la télédétection à l'analyse de la dynamique de l'occupation du sol à partir d'une utilisation couplée d'un modèle de markov et d'un automate cellulaire. Cas du département de Sintra (Centre-Ouest de la Cote d'Ivoire). / Vami Hermann N'guessan Bi in Revue Française de Photogrammétrie et de Télédétection, n° 204 (Octobre 2013)
PermalinkNarrow-band interference suppresion for SAR based on independent component analysis / Feng Zhou in IEEE Transactions on geoscience and remote sensing, vol 51 n° 10 (October 2013)
PermalinkThe contribution of mathematical morphology in spatial analysis of aggregated data / Sophie Liziard in Revue internationale de géomatique, vol 23 n° 3 - 4 (septembre 2013 - février 2014)
PermalinkUrban accessibility diagnosis from mobile laser scanning data / Andrès Serna in ISPRS Journal of photogrammetry and remote sensing, vol 84 (October 2013)
PermalinkAssessing the relationship between ground measurements and object-based image analysis of land cover classes in Pinyon and Juniper Woodlands / April Hulet in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 9 (September 2013)
PermalinkAutomatic extraction of building roofs using LIDAR data and multispectral imagery / Mohammad Awrangjeb in ISPRS Journal of photogrammetry and remote sensing, vol 83 (September 2013)
PermalinkGeneralized composite kernel framework for hyperspectral image classification / J. Li in IEEE Transactions on geoscience and remote sensing, vol 51 n° 9 (September 2013)
PermalinkA new method for automatic large scale map updating using mobile mapping imagery / Jianliang Ou in Photogrammetric record, vol 28 n° 143 (September - November 2013)
PermalinkAnalysis of full-waveform LiDAR data for classification of an orange orchard scene / Karolina D. Fieber in ISPRS Journal of photogrammetry and remote sensing, vol 82 (August 2013)
PermalinkAssessing the veracity of methods for extracting place semantics from Flickr tags / William A Mackaness in Transactions in GIS, vol 17 n° 4 (August 2013)
PermalinkInformation content of very high resolution SAR images: study of feature extraction and imaging parameters / Corneliu Dimitru in IEEE Transactions on geoscience and remote sensing, vol 51 n° 8 (August 2013)
PermalinkA methodology to characterize vertical accuracies in lidar-derived products at landscape scales / Wade T. Tinkham in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 8 (August 2013)
PermalinkA multiresolution hierarchical classification algorithm for filtering airborne LiDAR data / Chuanfa Chen in ISPRS Journal of photogrammetry and remote sensing, vol 82 (August 2013)
PermalinkPartial iterates for symmetrizing non-parametric color correction / Bruno Vallet in ISPRS Journal of photogrammetry and remote sensing, vol 82 (August 2013)
PermalinkRegistration of aerial imagery and lidar data in desert areas using the centroids of bushes as control information / Na Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 8 (August 2013)
PermalinkTemporal uncertainty in a small area open geodemographic classification / Christopher G. Gale in Transactions in GIS, vol 17 n° 4 (August 2013)
PermalinkTexture classification of PolSAR data based on sparse coding of wavelet polarization textons / Chu He in IEEE Transactions on geoscience and remote sensing, vol 51 n° 8 (August 2013)
PermalinkUsing hyperspectral reflectance data to assess biocontrol damage of giant salvinia / James H. Everitt in Geocarto international, vol 28 n° 5-6 (August - October 2013)
PermalinkBuilding a forward-mode three-dimensional reflectance model for topographic normalization of High-Resolution (1–5 m) imagery: validation phase in a forested environment / Stéphane Couturier in IEEE Transactions on geoscience and remote sensing, vol 51 n° 7 Tome 1 (July 2013)
PermalinkClassification automatique des images satellitaires optimisée par l'algorithme des chauves-souris / Soumia Benmostefa in Revue Française de Photogrammétrie et de Télédétection, n° 203 (Juillet 2013)
PermalinkLa combinaison d'indicateurs de changement pour le suivi de l'évolution de l'occupation du sol à partir d'imagerie satellitale / Faten Katlane in Revue Française de Photogrammétrie et de Télédétection, n° 203 (Juillet 2013)
PermalinkComparaison entre les méthodes J-SEG et MeanShift : application sur des données THRS / Rabia Sarah Cheriguene in Revue Française de Photogrammétrie et de Télédétection, n° 203 (Juillet 2013)
PermalinkContribution des données ALOS et Landsat dans la cartographie et l'analyse des linéaments dans le Sahel central (Maroc occidental) / Adnane Habib in Revue Française de Photogrammétrie et de Télédétection, n° 203 (Juillet 2013)
PermalinkEffects of national forest inventory plot location error on forest carbon stock estimation using k-nearest neighbor algorithm / Jaehoon Jung in ISPRS Journal of photogrammetry and remote sensing, vol 81 (July 2013)
PermalinkFiltering airborne LiDAR data by embedding smoothness-constrained segmentation in progressive TIN densification / Jixian Zhang in ISPRS Journal of photogrammetry and remote sensing, vol 81 (July 2013)
PermalinkIndependent two-step thresholding of binary images in inter-annual land cover change/no-change identification / Priyakant Sinha in ISPRS Journal of photogrammetry and remote sensing, vol 81 (July 2013)
PermalinkMissing-area reconstruction in multispectral images under a compressive sensing perspective / Luca Lorenzi in IEEE Transactions on geoscience and remote sensing, vol 51 n° 7 Tome 1 (July 2013)
PermalinkSemisupervised self-learning for hyperspectral image classification / Immaculada Dopido in IEEE Transactions on geoscience and remote sensing, vol 51 n° 7 Tome 1 (July 2013)
PermalinkA shape-based segmentation method for mobile laser scanning point clouds / Yang Bisheng in ISPRS Journal of photogrammetry and remote sensing, vol 81 (July 2013)
PermalinkSpectral unmixing in multiple-kernel Hilbert space for hyperspectral imagery / Yanfeng Gu in IEEE Transactions on geoscience and remote sensing, vol 51 n° 7 Tome 1 (July 2013)
PermalinkBand grouping versus band clustering in SVM ensemble classification of hyperspectral imagery / Behnaz Bigdeli in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 6 (June 2013)
PermalinkChange detection from remotely sensed images: From pixel-based to object-based approaches / Masroor Hussain in ISPRS Journal of photogrammetry and remote sensing, vol 80 (June 2013)
PermalinkDiscovering spatial interaction communities from mobile phone data / Song Gao in Transactions in GIS, vol 17 n° 3 (June 2013)
PermalinkLand-use monitoring by topographic data analysis / Tobias Krüger in Cartography and Geographic Information Science, vol 40 n° 3 (June 2013)
PermalinkUn SIG collaboratif pour la recherche historique. Partie 2 : Exemple d'application de l'atlas historique numérique et analyses de données attributaires de l'Italie du Risorgimento / F. Beretta in Géomatique expert, n° 92 (01/06/2013)
PermalinkTexture augmented detection of macrophyte species using decision trees / Cameron Proctor in ISPRS Journal of photogrammetry and remote sensing, vol 80 (June 2013)
PermalinkThinking outside the disciplinary box in coping with dilemmas in geoinformation management for public policy / W.H. ERIK DE Man in Transactions in GIS, vol 17 n° 3 (June 2013)
PermalinkA classification algorithm for hyperspectral images based on synergetics theory / Daniele Cerra in IEEE Transactions on geoscience and remote sensing, vol 51 n° 5 Tome 1 (May 2013)
PermalinkCommercial tree species discrimination using airborne AISA Eagle hyperspectral imagery and partial least squares discriminant analysis (PLS-DA) in KwaZulu–Natal, South Africa / Kabir Yunus Peerbhay in ISPRS Journal of photogrammetry and remote sensing, vol 79 (May 2013)
PermalinkA generative statistical approach to automatic 3D building roof reconstruction from laser scanning data / Hai Huang in ISPRS Journal of photogrammetry and remote sensing, vol 79 (May 2013)
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