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How do people perceive the disclosure risk of maps? Examining the perceived disclosure risk of maps and its implications for geoprivacy protection / Junghwan Kim in Cartography and Geographic Information Science, vol 48 n° 1 (January 2021)  

Public [article]  inCartography and Geographic Information Science > vol 48 n° 1 (January 2021) . - pp 2 - 20 Titre : How do people perceive the disclosure risk of maps? Examining the perceived disclosure risk of maps and its implications for geoprivacy protection Type de document : Article/Communication Auteurs : Junghwan Kim, Auteur ; Mei-Po Kwan, Auteur ; Margaret C. Levenstein, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 2 - 20 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Information géographique [Termes IGN] cartographie thématique [Termes IGN] confidentialité [Termes IGN] données personnelles [Termes IGN] droit privé [Termes IGN] entretien d'enquête [Termes IGN] géomasquage [Termes IGN] information cartographique [Termes IGN] photo-identification [Termes IGN] protection de la vie privée [Termes IGN] vulnérabilité Résumé : (auteur) This research examines how people subjectively perceive the disclosure risk of a map using original data collected in an online survey with 856 participants. The results indicate that perceived disclosure risk increases as the amount of locational information displayed on a map increases. Compared to point-based maps, perceived disclosure risk is significantly lower for kernel density maps, convex hull maps, and standard deviational ellipse maps. The results also revealed that perceived disclosure risk is affected by map scale and the presence of information of other people on a map. For geomasking methods, perceived disclosure risk decreases as aggregation level increases and as relocation distance increases. However, aggregation methods (point to polygon) are more effective in preventing the re-identification of individuals when compared to relocation methods (point to point). Lastly, the perceived disclosure risk of a map that displays socially-vulnerable people is significantly higher than that of a map that displays non-vulnerable groups. Specifically, a map displaying the private locations of elementary school students has the highest perceived disclosure risk. Based on the results, a set of geoprivacy protection guidelines for mapping people’s private locations to minimize people’s perceived disclosure risk is proposed. Implications for mapping infectious diseases like the COVID-19 are also discussed. Numéro de notice : A2021-016 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2020.1794976 Date de publication en ligne : 24/08/2020 En ligne : https://doi.org/10.1080/15230406.2020.1794976 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96451 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-2021011	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Improved crop classification with rotation knowledge using Sentinel-1 and -2 time series / Sébastien Giordano in Photogrammetric Engineering & Remote Sensing, PERS, vol 86 n° 7 (July 2020)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 86 n° 7 (July 2020) . - pp 431 - 441 Titre : Improved crop classification with rotation knowledge using Sentinel-1 and -2 time series Type de document : Article/Communication Auteurs : Sébastien Giordano , Auteur ; Simon Bailly , Auteur ; Loïc Landrieu , Auteur ; Nesrine Chehata , Auteur Année de publication : 2020 Projets : MAESTRIA / Mallet, Clément Article en page(s) : pp 431 - 441 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte [Termes IGN] Alpes-de-haute-provence (04) [Termes IGN] chaîne de traitement [Termes IGN] classification par forêts d'arbres décisionnels [Termes IGN] image Sentinel-MSI [Termes IGN] image Sentinel-SAR [Termes IGN] parcelle agricole [Termes IGN] photo-identification [Termes IGN] Seine-et-Marne (77) [Termes IGN] série temporelle [Termes IGN] surface cultivée Résumé : (Auteur) Leveraging the recent availability of accurate, frequent, and multimodal (radar and optical) Sentinel-1 and -2 acquisitions, this paper investigates the automation of land parcel identification system (LPIS) crop type classification. Our approach allows for the automatic integration of temporal knowledge, i.e., crop rotations using existing parcel-based land cover databases and multi-modal Sentinel-1 and -2 time series. The temporal evolution of crop types was modeled with a linear-chain conditional random field, trained with time series of multimodal (radar and optical) satellite acquisitions and associated LPIS. Our model was tested on two study areas in France (≥ 1250 km2) which show different crop types, various parcel sizes, and agricultural practices: . the Seine et Marne and the Alpes de Haute-Provence classified accordingly to a fine national 25-class nomenclature. We first trained a Random Forest classifier without temporal structure to achieve 89.0% overall accuracy in Seine et Marne (10 classes) and 73% in Alpes de Haute-Provence (14 classes). We then demonstrated experimentally that taking into account the temporal structure of crop rotation with our model resulted in an increase of 3% to +5% in accuracy. This increase was especially important (+12%) for classes which were poorly classified without using the temporal structure. A stark positive impact was also demonstrated on permanent crops, while it was fairly limited or even detrimental for annual crops. Numéro de notice : A2020-382 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.14358/PERS.86.7.431 Date de publication en ligne : 01/07/2020 En ligne : https://doi.org/10.14358/PERS.86.7.431 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95428 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
105-2020071	SL	Revue	Centre de documentation	Revues en salle	Disponible

Combined object-based classification and manual interpretation-synergies for a quantitative assessment of parcels and biotopes / S. Lang in Geocarto international, vol 24 n° 2 (April - May 2009)  

Public [article]  inGeocarto international > vol 24 n° 2 (April - May 2009) . - pp 99 - 114 Titre : Combined object-based classification and manual interpretation-synergies for a quantitative assessment of parcels and biotopes Type de document : Article/Communication Auteurs : S. Lang, Auteur ; E. Schöpfer, Auteur ; T. Langanke, Auteur Année de publication : 2009 Article en page(s) : pp 99 - 114 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse spatiale [Termes IGN] biotope [Termes IGN] classification orientée objet [Termes IGN] détection de changement [Termes IGN] image infrarouge couleur [Termes IGN] image Landsat-ETM+ [Termes IGN] image Landsat-TM [Termes IGN] photo-identification [Termes IGN] photographie aérienne [Termes IGN] segmentation d'image [Termes IGN] système d'information géographique [Termes IGN] voisinage (relation topologique) Résumé : (Auteur) Recent technical advances in remote sensing data capture and spatial resolution lead to a widening gap between increasing data availability on the one hand and insufficient methodology for semi-automated image data processing and interpretation on the other hand. At the interface of GIS and remote sensing, object-based image analysis methodologies are one possible approach to close this gap. With this, methods from either side are integrated to use both the capabilities of information extraction from image data and the power to perform spatial analysis on derived polygon data. However, dealing with image objects from various sources and in different scales implies combining data with inconsistent boundaries. A landscape interpretation support tool (LIST) is introduced which seeks to investigate and quantify spatial relationships among image objects stemming from different sources by using the concept of spatial coincidence. Moreover, considering different categories of object fate, LIST enables a change categorization for each polygon of a time series of classifications. The application of LIST is illustrated by two case-studies, using Landsat TM and ETM as well as CIR aerial photographs: the first showing how the tool is used to perform object quantification and change analysis; the latter demonstrating how superior aggregation capabilities of the human brain can be combined with the fine spatial segmentation and classification. Possible fields of application are identified and limitations of the approach are discussed. Copyright Taylor & Francis Numéro de notice : A2009-123 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040802121093 Date de publication en ligne : 17/03/2009 En ligne : https://doi.org/10.1080/10106040802121093 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29753 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-09021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Size-Constrained Region Merging (SCRM): an automated delineation tool for assisted photointerpretation / G. Castilla in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 4 (April 2008)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 4 (April 2008) . - pp 409 - 419 Titre : Size-Constrained Region Merging (SCRM): an automated delineation tool for assisted photointerpretation Type de document : Article/Communication Auteurs : G. Castilla, Auteur ; G. Hay, Auteur ; J. Ruiz-Gallardo, Auteur Année de publication : 2008 Article en page(s) : pp 409 - 419 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photo-interprétation [Termes IGN] carte d'occupation du sol [Termes IGN] contrainte géométrique [Termes IGN] détection de contours [Termes IGN] fusion de données [Termes IGN] photo-identification [Termes IGN] photo-interprétation assistée par ordinateur [Termes IGN] traitement d'image Résumé : (Auteur) The manual delineation of vegetation patches or forest stands is a costly and crucial stage in any land-cover mapping project or forest inventory based upon photointerpretation. Recent computer techniques have eased the task of the interpreter; however, a good deal of craftsmanship is still required in the delineation. In an effort to contribute to the automation of this process, we introduce Size-Constrained Region Merging (SCRM), a recently implemented software tool that provides the interpreter with an initial template of the to be mapped area that may reduce the manual digitization portion of the interpretation. In essence, SCRM transforms an ortho-rectified aerial or satellite image (single or multichannel) into a polygon vector layer that resembles the work of a human interpreter, whom with no a priori knowledge of the scene, was given the task of partitioning the image into a number of homogeneous polygons all exceeding a minimum size. We provide background information on SCRM foundations and workflow, and illustrate its application on three different types of satellite images. Copyright ASPRS Numéro de notice : A2008-121 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.4.409 En ligne : https://doi.org/10.14358/PERS.74.4.409 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29116 [article]

Une gestion satellitale des vignobles / M. Mayo in Géomètre, n° 2021 (décembre 2005)

Public [article]  inGéomètre > n° 2021 (décembre 2005) . - pp 46 - 47 Titre : Une gestion satellitale des vignobles Type de document : Article/Communication Auteurs : M. Mayo, Auteur Année de publication : 2005 Article en page(s) : pp 46 - 47 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] données vectorielles [Termes IGN] géoréférencement [Termes IGN] image satellite [Termes IGN] occupation du sol [Termes IGN] parcelle agricole [Termes IGN] photo-identification [Termes IGN] photographie aérienne [Termes IGN] production agricole [Termes IGN] viticulture Résumé : (Editeur) Une équipe du Cemagref a mis au point une méthode semi-automatique pour identifier et caractériser les parcelles de vignobles sur des images haute résolution aériennes ou satellites. Copyright Géomètre Numéro de notice : A2005-457 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27593 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
063-05111	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Remote sensing of landslides: an analysis of the potential contribution to geo-spatial systems for hazard assessment in mountainous environments / G. Metternicht in Remote sensing of environment, vol 98 n° 2-3 (15 october 2005)  

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Prototyping a global algorithm for systematic fire-affected area mapping using MODIS time series data / D.P. Roy in Remote sensing of environment, vol 97 n° 2 (30/07/2005)  

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Assesment of manual and automated methods for updating stand-level forest inventories based on aerial photography / Perttu Antilla (2005)

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Potentialités de nouveaux capteurs à très haute résolution spatiale pour l'extraction des réseaux de rues urbains / Renaud Péteri in Revue internationale de géomatique, vol 14 n° 3 - 4 (septembre 2004 – février 2005)  

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A hemispherical-directional reflectance model as a tool for understanding image distinctions between cultivated and uncultivated bare surfaces / J. Cierniewski in Remote sensing of environment, vol 90 n° 4 (30/04/2004)  

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Land cover characterization of temperate east Asia using multi-temporal vegetation sensor data / S.H. Boles in Remote sensing of environment, vol 90 n° 4 (30/04/2004)  

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Imagerie spatiale et aménagements forestiers au Gabon / Marcellin Nziengui in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 167 (Avril 2002)

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Landsat TM versus MSS data for forest type identification / D.L. Evans in Geocarto international, vol 5 n° 3 (September - November 1990)  

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Visual versus digital analysis for vegetation mapping: some examples on central Spain / E. Chuvieco in Geocarto international, vol 5 n° 3 (September - November 1990)  

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Remote sensing identification of tornado tracks in Argentina, Brazil, and Paraguay / R.C. Dyer in Photogrammetric Engineering & Remote Sensing, PERS, vol 54 n° 10 (october 1988)  

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