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Spatial interpolation to predict missing attributes in GIS using semantic kriging / Shrutilipi Bhattacharjee in IEEE Transactions on geoscience and remote sensing, vol 52 n° 8 Tome 2 (August 2014)
[article]
Titre : Spatial interpolation to predict missing attributes in GIS using semantic kriging Type de document : Article/Communication Auteurs : Shrutilipi Bhattacharjee, Auteur ; Pabitra Mitra, Auteur ; Sanjay Kumar Ghosh, Auteur Année de publication : 2014 Article en page(s) : pp 4771 - 4780 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] attribut géomètrique
[Termes IGN] géostatistique
[Termes IGN] Inde
[Termes IGN] interpolation spatiale
[Termes IGN] krigeage
[Termes IGN] métropole
[Termes IGN] température au solRésumé : (Auteur) Prediction of spatial attributes has attracted significant research interest in recent years. It is challenging especially when spatial data contain errors and missing values. Geostatistical estimators are used to predict the missing attribute values from the observed values of known surrounding data points, a general form of which is referred as kriging in the field of geographic information system and remote sensing. The proposed semantic kriging (SemK) tries to blend the semantics of spatial features (of surrounding data points) with ordinary kriging (OK) method for prediction of the attribute. Experimentation has been carried out with land surface temperature data of four major metropolitan cities in India. It shows that SemK outperforms the OK and most of the existing spatial interpolation methods. Numéro de notice : A2014-437 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2284489 En ligne : https://doi.org/10.1109/TGRS.2013.2284489 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73974
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 8 Tome 2 (August 2014) . - pp 4771 - 4780[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2014081B RAB Revue Centre de documentation En réserve L003 Disponible Glacier changes using satellite data and effect of climate in Tirungkhad basin located in western Himalaya / Riyaz Ahmad Mir in Geocarto international, vol 29 n° 3 - 4 (June - July 2014)
[article]
Titre : Glacier changes using satellite data and effect of climate in Tirungkhad basin located in western Himalaya Type de document : Article/Communication Auteurs : Riyaz Ahmad Mir, Auteur ; Sanjay K. Jain, Auteur ; A.K. Saraf, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp. 293 - 313 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] changement climatique
[Termes IGN] glacier
[Termes IGN] Himalaya
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Landsat-TM
[Termes IGN] Inde
[Termes IGN] Sensor Web Enablement
[Termes IGN] télédétection spatialeRésumé : (Auteur) Glaciers are widely recognized as key indicators of climate change, and melt water obtained from them is an important source of fresh water and for hydropower generation. Regular monitoring of a large number of Himalayan glaciers is important for improving our knowledge of glacier response to climate change. In the present study, Survey of India topographical maps (1966) and Landsat datasets as ETM+ (2000, 2006) and TM (2011) have been used to study glacier fluctuations in Tirungkhad basin. A deglaciation of 26.1% (29.1 km2) in terms of area from 1966 to 2011 was observed. Lower altitude small glaciers (area Numéro de notice : A2014-340 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2012.760655 En ligne : https://doi.org/10.1080/10106049.2012.760655 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73708
in Geocarto international > vol 29 n° 3 - 4 (June - July 2014) . - pp. 293 - 313[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-2014021 RAB Revue Centre de documentation En réserve L003 Disponible Application of frequency ratio and likelihood ratio model for geo-spatial modelling of landslide hazard vulnerability assessment and zonation: a case study from the Sikkim Himalayas in India / L.P. Sharma in Geocarto international, vol 29 n° 1 - 2 (February - April 2014)
[article]
Titre : Application of frequency ratio and likelihood ratio model for geo-spatial modelling of landslide hazard vulnerability assessment and zonation: a case study from the Sikkim Himalayas in India Type de document : Article/Communication Auteurs : L.P. Sharma, Auteur ; Nilanchal Patel, Auteur ; Mrinal K. Ghose, Auteur ; P. Debnath, Auteur Année de publication : 2014 Article en page(s) : pp 128 - 146 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] ArcGIS
[Termes IGN] cartographie des risques
[Termes IGN] effondrement de terrain
[Termes IGN] fréquence
[Termes IGN] Himalaya
[Termes IGN] Inde
[Termes IGN] modélisation spatiale
[Termes IGN] partition d'image
[Termes IGN] risque majeur
[Termes IGN] risque naturel
[Termes IGN] système d'information géographique
[Termes IGN] vulnérabilité
[Termes IGN] zone à risqueRésumé : (Auteur) The Likelihood Ratio (LR) Model has been applied as an improvement upon the Frequency Ratio (FR) that computes the ratio of the percentage of the landslide pixels to the percentage of the non-landslide pixels instead of the total number of pixels used in the denominator as in case of the FR. The comparative assessment of the two techniques is made through spatial modelling of GIS vector data using the ArcGIS software. Two different Landslide Information Values were computed for each polygon element of the study area employing the two FR techniques that categorized the study area into five classes of vulnerability using natural breaks (Jenks) technique. Subsequently, vulnerability zonation maps were prepared showing the different levels of landslide vulnerability. The LR technique yielded significantly higher vulnerability assessment accuracy (77%) as compared to the standard FR (71%). Numéro de notice : A2014-237 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2012.748830 Date de publication en ligne : 06/02/2013 En ligne : https://doi.org/10.1080/10106049.2012.748830 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33140
in Geocarto international > vol 29 n° 1 - 2 (February - April 2014) . - pp 128 - 146[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-2014011 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)
[article]
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]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-2013041 RAB Revue Centre de documentation En réserve L003 Disponible Automated detection of slum area change in Hyderabad, India using multitemporal satellite imagery / Oleksandr Kit in ISPRS Journal of photogrammetry and remote sensing, vol 83 (September 2013)
[article]
Titre : Automated detection of slum area change in Hyderabad, India using multitemporal satellite imagery Type de document : Article/Communication Auteurs : Oleksandr Kit, Auteur ; Matthias Lüdeke, Auteur Année de publication : 2013 Article en page(s) : pp 130 - 137 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] agglomération
[Termes IGN] bidonville
[Termes IGN] détection automatique
[Termes IGN] détection de changement
[Termes IGN] filtre de Canny
[Termes IGN] image multitemporelle
[Termes IGN] image satellite
[Termes IGN] Inde
[Termes IGN] méthode des moindres carrésRésumé : (Auteur) This paper presents an approach to automated identification of slum area change patterns in Hyderabad, India, using multi-year and multi-sensor very high resolution satellite imagery. It relies upon a lacunarity-based slum detection algorithm, combined with Canny- and LSD-based imagery pre-processing routines. This method outputs plausible and spatially explicit slum locations for the whole urban agglomeration of Hyderabad in years 2003 and 2010. The results indicate a considerable growth of area occupied by slums between these years and allow identification of trends in slum development in this urban agglomeration. Numéro de notice : A2013-491 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.06.009 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.06.009 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32629
in ISPRS Journal of photogrammetry and remote sensing > vol 83 (September 2013) . - pp 130 - 137[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-2013091 RAB Revue Centre de documentation En réserve L003 Disponible Analysing spatio-temporal footprints of urbanization on environment of Surat city using satellite-derived bio-physical parameters / Richa Sharma in Geocarto international, vol 28 n° 5-6 (August - October 2013)PermalinkLearning with transductive SVM for semisupervised pixel classification of remote sensing imagery / Ujjwal Maulik in ISPRS Journal of photogrammetry and remote sensing, vol 77 (March 2013)PermalinkTsunami inundation modelling for the coast of Kerala, India / S. Praveen in Marine geodesy, vol 36 n° 1 (January - March 2013)PermalinkEvaluation of the spatial changes in seagrass cover in the lagoons of Lakshadweep islands, India, using IRS LISS III satellite images / E.P. Nobi in Geocarto international, vol 27 n° 8 (December 2012)PermalinkGeographic information system–based morphometric characterization of sub-watersheds of Meenachil river basin, Kottayam district, Kerala, India / M. Vincy in Geocarto international, vol 27 n° 8 (December 2012)PermalinkSpatial mashup technology and real time data integration in geo-web application using open source GIS: a case study for disaster management / Harish Chandra Karnatak in Geocarto international, vol 27 n° 6 (October 2012)PermalinkTsunami inundation modeling and mapping using ALTM- and CARTOSAT-derived coastal topographic data / S. Nayak in Marine geodesy, vol 35 n° 4 (October - December 2012)PermalinkL'atlas "Water resources of Andhra Pradesh" : essai de présentation visuelle d'informations destinées aux utilisateurs et aux gestionnaires des ressources en eau d'un état indien / Luc De Golbéry in Cartes & Géomatique, n° 213 (septembre 2012)PermalinkMapping crop types, irrigated areas, and cropping intensities in heterogeneous landscapes of southern India using multi-temporal medium-resolution imagery: implications for assessing water use in agriculture / E. Heller in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 8 (August 2012)PermalinkAssessment of quality of life in Uttarakhand, India using geospatial techniques / K.R. Rao in Geocarto international, vol 27 n° 4 (July 2012)PermalinkDynamics of coastal landform features along the southern Tamil Nadu of India by using remote sensing and Geographic Information System / P. Mujabar in Geocarto international, vol 27 n° 4 (July 2012)PermalinkUnderstanding dynamics of large rivers aided by satellite remote sensing: a case study from Lower Ganga plains, India / R. Sinha in Geocarto international, vol 27 n° 3 (June 2012)PermalinkUse of high-resolution satellite imagery for investigating acid mine drainage from artisanal coal mining in North-Eastern India / B. Blahwar in Geocarto international, vol 27 n° 3 (June 2012)PermalinkA longitudinal study of malaria associated with deforestation in Sonitpur district of Assam, India / M. Nath in Geocarto international, vol 27 n° 1 (February 2012)PermalinkUsefulness of synthetic aperture radar (SAR) interferometry for digital elevation model (DEM) generation and estimation of land surface displacement in Jharia coal field area / Atanu Bhattacharya in Geocarto international, vol 27 n° 1 (February 2012)PermalinkApplication of remote sensing and geographic information system in change detection of the Netravati and Gurpur river channels, Karnataka, India / A. Kumar in Geocarto international, vol 25 n° 5 (August 2010)PermalinkIdentification and analysis of groundwater potential zones in Ken-Betwa river linking area using remote sensing and geographic information system / R. Avtar in Geocarto international, vol 25 n° 5 (August 2010)PermalinkGeneration and study of satellite gravity over Gujarat, India and their possible correlation with earthquake occurences / T. Majumba in Geocarto international, vol 25 n° 4 (July 2010)PermalinkInfluence of resolution in irrigated area mapping and area estimations / N. Velpuri in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 12 (December 2009)PermalinkApplication of satellite image processing techniques for Talakadu a unique archaeological landscape in India / M.B. Rajani in Photo interprétation, European journal of applied remote sensing, vol 45 n° 4 (novembre 2009)Permalink