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A method for urban population density prediction at 30m resolution / Krishnachandran Balakrishnan in Cartography and Geographic Information Science, vol 47 n° 3 (March 2020)  

Public [article]  inCartography and Geographic Information Science > vol 47 n° 3 (March 2020) . - pp 193 - 213 Titre : A method for urban population density prediction at 30m resolution Type de document : Article/Communication Auteurs : Krishnachandran Balakrishnan, Auteur Année de publication : 2020 Article en page(s) : pp 193 - 213 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] densité de population [Termes descripteurs IGN] gestion urbaine [Termes descripteurs IGN] hauteur du bâti [Termes descripteurs IGN] image Cartosat-1 [Termes descripteurs IGN] Inde [Termes descripteurs IGN] logiciel de traitement d'image [Termes descripteurs IGN] modèle de simulation [Termes descripteurs IGN] modélisation du bâti [Termes descripteurs IGN] système d'information géographique [Termes descripteurs IGN] véhicule automobile Résumé : (auteur) This paper proposes a new method for urban population density prediction at 30 m resolution. Using data for Bangalore, the paper demonstrates that population within each 30 m residential built-up cell can be modeled as a function of cell-level data on street density and building heights and ward-level data on car ownership. Building-height data were generated from Cartosat-1 stereo imagery using an open-source satellite stereo image processing software. Using this building-height data in conjunction with the other datasets, the paper demonstrates that a 30 m resolution population density surface can be generated such that, when summed to the ward level, the median absolute percentage error between predicted population and known census population at the ward level is 8.29%. The paper also shows that the relationship between population density, street density, building height, and ward level car ownership is spatially non-stationary. A fine-grained understanding of urban population densities, as enabled by the proposed method, can be beneficial to research, policy, and practice related to cities. Numéro de notice : A2020-168 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2019.1687014 date de publication en ligne : 18/12/2019 En ligne : https://doi.org/10.1080/15230406.2019.1687014 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94839 [article]

Change detection of linear features in temporally spaced remotely sensed images using edge-based grid analysis / Arati Paul in Geocarto international, vol 32 n° 6 (June 2017)  

Public [article]  inGeocarto international > vol 32 n° 6 (June 2017) . - pp 640 - 654 Titre : Change detection of linear features in temporally spaced remotely sensed images using edge-based grid analysis Type de document : Article/Communication Auteurs : Arati Paul, Auteur ; V.M. Chowdary, Auteur ; Y.K. Srivastava, Auteur ; Debsunder Dutta, Auteur ; J.R. Sharma, Auteur Année de publication : 2017 Article en page(s) : pp 640 - 654 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] Calcutta [Termes descripteurs IGN] densité spectrale de puissance [Termes descripteurs IGN] détection de changement [Termes descripteurs IGN] détection de contours [Termes descripteurs IGN] Google Earth [Termes descripteurs IGN] image Cartosat-1 [Termes descripteurs IGN] image IRS-LISS [Termes descripteurs IGN] occupation du sol [Termes descripteurs IGN] seuillage d'image Résumé : (Auteur) Automatic change detection of land cover features using high-resolution satellite images, is a challenging problem in the field of intelligent remote sensing data interpretation, and is becoming more and more effective for its applications viz. urban planning and monitoring, disaster assessment etc. In the present study, a change in detection approach based on the image morphology that analyses change in the local image grids is proposed. In this approach, edges from both the images are extracted and grid wise comparison is made by probabilistic thresholding and power spectral density analysis for identifying change area. One of the advantages of the proposed methodology is that the temporal images used in the change analysis need not be radiometrically corrected as analysis is based on edge extractions. The grid-based analysis further reduces the error, which might have been introduced by image mis-registration. The proposed methodology is validated by finding the temporal changes in the linear land cover features in parts of Kolkata city, India using three different image data-sets from LISS IV, Cartosat-1 and Google earth having varied spatial resolutions of 5.8 m, 2.5 m and about 1 m, respectively. The overall accuracy in identifying changes is found to be 64.82, 73.86 and 80.93% for LISS IV, Cartosat-1 and Google earth data-set, respectively. Numéro de notice : A2017-275 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2016.1167966 date de publication en ligne : 01/04/2016 En ligne : http://dx.doi.org/10.1080/10106049.2016.1167966 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85304 [article]

Effect of sensor modelling methods on computation of 3-D coordinates from Cartosat-1 stereo data / Mritunjay Kumar Singh in Geocarto international, vol 31 n° 5 - 6 (May - June 2016)  

Public [article]  inGeocarto international > vol 31 n° 5 - 6 (May - June 2016) . - pp 506 - 526 Titre : Effect of sensor modelling methods on computation of 3-D coordinates from Cartosat-1 stereo data Type de document : Article/Communication Auteurs : Mritunjay Kumar Singh, Auteur ; R.D. Gupta, Auteur ; Snehmani, Auteur ; Anshuman Bhardwaj, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 506 - 526 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes descripteurs IGN] capteur imageur [Termes descripteurs IGN] coordonnées géographiques [Termes descripteurs IGN] image Cartosat-1 [Termes descripteurs IGN] modèle numérique de surface [Termes descripteurs IGN] modèle par fonctions rationnelles [Termes descripteurs IGN] modèle stéréoscopique Résumé : (Auteur) The orbital and the rational polynomial coefficients (RPC) models are the two most commonly used models to compute a three-dimensional coordinates from an image stereo-pair. But it is still confusing that with the identical user provided inputs, which one of these two models provides more accurate digital elevation model (DEM), especially for mountainous terrain. This study aimed to find out the answer by evaluating the impact of used models on the vertical accuracy of DEM extracted from Cartosat-1 stereo data. We used high-accuracy photogrammetric DEM as the reference DEM. Apart from general variations in statistics, surprisingly in a few instances, both the DEMs provided contrasting results, thus proving the significance of this study. The computed root mean square errors and linear error at 90% (LE90) were lower in case of RPC DEM for various classes of slope, aspect and land cover, thus suggesting its better relative accuracy. Numéro de notice : A2016-169 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2015.1059900 date de publication en ligne : 01/07/2015 En ligne : http://www.tandfonline.com/doi/full/10.1080/10106049.2015.1059900 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80508 [article]

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Morphometric analysis of Upper Tons basin from Northern Foreland of Peninsular India using CARTOSAT satellite and GIS / Sandeep Kumar Yadav in Geocarto international, vol 29 n° 7 - 8 (November - December 2014)  

Public [article]  inGeocarto international > vol 29 n° 7 - 8 (November - December 2014) . - pp 895 - 914 Titre : Morphometric analysis of Upper Tons basin from Northern Foreland of Peninsular India using CARTOSAT satellite and GIS Type de document : Article/Communication Auteurs : Sandeep Kumar Yadav, Auteur ; S.K. Singh, Auteur ; Manika Gupta, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 895 - 914 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] bassin hydrographique [Termes descripteurs IGN] drainage [Termes descripteurs IGN] image Cartosat-1 [Termes descripteurs IGN] morphométrie [Termes descripteurs IGN] système d'information géographique Résumé : (Auteur) The morphometric analysis of river basin helps to explore the interrelationship between hydraulic parameters and geomorphologic characteristics. The study has been conducted in the Upper Tons basin of Northern Foreland of Peninsular India. The river basin has been characterized using the topographical maps, CARTOSAT satellite image integrated using the GIS techniques. The drainage density analysis indicates lower values in the north-eastern regions and thus these regions can be categorized as better ground water potential zone. There are in total 10 sub-watersheds which have been delineated; SW-4 has maximum drainage density (4.75), stream frequency (5.61) and drainage texture (26.64) followed by SW-6–10. The prioritized sub-watershed numbers SW-4 and SW-6–10 need conservation practices because of their high erodibility and run-off. SW-1–3 and SW-5 regions have better permeable bed rocks and hence good for water harvesting. The areal parameter indicates elongated shape of basin and moderate to steeper ground slope. The results are supported by extensive field survey. This study can be applied for soil and water management, as well as disaster prevention from similar type of drainage basins. Numéro de notice : A2014-471 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern En ligne : The evaluation of basin characteristics from the morphometric parameters helps i [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74048 [article]

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Demarcation of potential avalanche sites using remote sensing and ground observations: a case study of Gangotri glacier / Snehmani A. Bhardwaj in Geocarto international, vol 29 n° 5 - 6 (August - October 2014)  

Public [article]  inGeocarto international > vol 29 n° 5 - 6 (August - October 2014) . - pp 520-535 Titre : Demarcation of potential avalanche sites using remote sensing and ground observations: a case study of Gangotri glacier Type de document : Article/Communication Auteurs : Snehmani A. Bhardwaj, Auteur ; A. Pandit, Auteur ; A. Ganju, Auteur Année de publication : 2014 Article en page(s) : pp 520-535 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] avalanche [Termes descripteurs IGN] cartographie des risques [Termes descripteurs IGN] données de terrain [Termes descripteurs IGN] glacier [Termes descripteurs IGN] Himalaya [Termes descripteurs IGN] image Cartosat-1 [Termes descripteurs IGN] image IRS-LISS [Termes descripteurs IGN] image Terra-ASTER [Termes descripteurs IGN] modèle numérique de surface [Termes descripteurs IGN] risque naturel Résumé : (auteur) This study demonstrates the effectiveness of remote sensing and analytical hierarchy process for avalanche hazard mapping. The layers incorporated in this study were of slope, aspect, profile curvature, ground cover and elevation. The accuracy of output was determined using the registered avalanche sites based on ground observations and field-based modelling techniques. 93.35% of avalanche-affected areas came under maximum and moderate hazard zones, thus proving the effectiveness of this technique for Gangotri glacier basin. A parallel study was done to observe the change in the results, if any, by using high-resolution DEM and Cartosat-1 imagery. Similar methodology was adopted and the outcome was having significant improvement over the previous result as 98.8% of the preregistered avalanche area falling within maximum and moderate hazard zones. Numéro de notice : A2014-410 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern En ligne : http://www.tandfonline.com/doi/full/10.1080/10106049.2013.807304 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73947 [article]

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Region-based automatic building and forest change detection on Cartosat-1 stereo imagery / Jing Tian in ISPRS Journal of photogrammetry and remote sensing, vol 79 (May 2013)

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Improving Cartosat-1 DEM accuracy using synthetic stereo pair and triplet / D. Giribabu in ISPRS Journal of photogrammetry and remote sensing, vol 77 (March 2013)

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Tsunami inundation modeling and mapping using ALTM- and CARTOSAT-derived coastal topographic data / S. Nayak in Marine geodesy, vol 35 n° 4 (October - December 2012)  

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Use 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)  

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Advanced studies in strip pair processing of Cartosat-1 data / P.K. Srivastava in Photogrammetric record, vol 23 n° 123 (September - November 2008)

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Analysis of Cartosat-1 images regarding image quality, 3D point measurement and DSM generation / Emmanuel Baltsavias in Photogrammetric record, vol 23 n° 123 (September - November 2008)

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vol 23 n° 123 - September - November 2008 - ISPRS Hannover workshop, 29 May - 1st June 2007 [on] high-resolution Earth imagery for geospatial information, [actes]. Part 1 (Bulletin de Photogrammetric record) / Remote sensing and photogrammetry society

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Potential of Cartosat-1 images for topographic mapping / Costas Armenakis in Geomatica, vol 62 n° 1 (March 2008)

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350 first order points selected: creation of a geodetic reference frame in WGS-84 datum for Cartosat in India / K.S. Rao in Geoinformatics, vol 10 n° 8 (01/12/2007)

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Mapping damage in the Jammu and Kashmir caused by 8 October 2005 mw 7.3 earthquakes from the Cartosat-1 and Resourcesat-1 imagery / K. Vinod Kumar in International Journal of Remote Sensing IJRS, vol 27 n°18 - 19 - 20 (October 2006)

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