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The evolution of cadastral systems in Austria and Galicia (Poland): different approaches to a similar system from a common beginning / Józef Hernik in Cartographic journal (the), Vol 57 n° 2 (May 2020)
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Titre : The evolution of cadastral systems in Austria and Galicia (Poland): different approaches to a similar system from a common beginning Type de document : Article/Communication Auteurs : Józef Hernik, Auteur ; Barbara Prus, Auteur ; Robert Dixon-Gough, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 97 - 112 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cadastre étranger
[Termes IGN] Autriche
[Termes IGN] cartographie cadastrale
[Termes IGN] harmonisation des données
[Termes IGN] histoire
[Termes IGN] plan cadastral
[Termes IGN] Pologne
[Termes IGN] système d'information foncièreRésumé : (Auteur) The main aim of this paper is to document the gradual evolution of cadastral maps and associated land books in the area of today’s Austria as well as the more dramatic development of the cadastral system in Galicia (Poland). The continuous development of the Austrian system is compared to the more gradual evolution of the Polish system, the development of which was more complex because of the historical and political developments in this country’s turbulent past. However both systems have common roots with the Franciscan Cadastre. The investigation is based on development of the legal instruments, the institutional settings, the technical procedures, and the final products of the respected countries. The comparison of the development in the two countries and the results of the investigated quality assessment of cadastral maps clearly document that the smooth development of a cadastre requires a stable political situation. The Austrian cadastre had already almost finished the period of consolidation, harmonization, and completion in 1938. This allowed a new area of further development to evolve after 1945. In Poland, the unfinished tasks of homogenization and harmonization in 1939 and the significant changes in the political system in 1945 delayed consolidation, harmonization, and completion of the cadastral system and impeded the continuous development of the system for the next decades. Numéro de notice : A2020-384 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/00087041.2018.1534344 Date de publication en ligne : 21/01/2020 En ligne : https://doi.org/10.1080/00087041.2018.1534344 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95461
in Cartographic journal (the) > Vol 57 n° 2 (May 2020) . - pp 97 - 112[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 030-2020021 RAB Revue Centre de documentation En réserve L003 Disponible Using GIS for disease mapping and clustering in Jeddah, Saudi Arabia / Abdulkader Murad in ISPRS International journal of geo-information, vol 9 n° 5 (May 2020)
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Titre : Using GIS for disease mapping and clustering in Jeddah, Saudi Arabia Type de document : Article/Communication Auteurs : Abdulkader Murad, Auteur ; Bandar Fuad Khashoggi, Auteur Année de publication : 2020 Article en page(s) : 22 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] analyse de groupement
[Termes IGN] Arabie Saoudite
[Termes IGN] carte sanitaire
[Termes IGN] distribution spatiale
[Termes IGN] estimation par noyau
[Termes IGN] modélisation environnementale
[Termes IGN] modélisation spatiale
[Termes IGN] surveillance sanitaire
[Termes IGN] zone à risqueRésumé : (auteur) Geographic information systems (GIS) can be used to map the geographical distribution of the prevalence of disease, trends in disease transmission, and to spatially model environmental aspects of disease occurrence. The aim of this study is to discuss a GIS application created to produce mapping and cluster modeling of three diseases in Jeddah, Saudi Arabia: diabetes, asthma, and hypertension. Data about these diseases were obtained from health centers’ registered patient records. These data were spatially evaluated using several spatial–statistical analytical models, including kernel and hotspot models. These models were created to explore and display the disparate patterns of the selected diseases and to illustrate areas of high concentration, and may be invaluable in understanding local patterns of diseases and their geographical associations. Numéro de notice : A2020-300 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi9050328 Date de publication en ligne : 18/05/2020 En ligne : https://doi.org/10.3390/ijgi9050328 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95140
in ISPRS International journal of geo-information > vol 9 n° 5 (May 2020) . - 22 p.[article]Combining radar and optical imagery to map oil palm plantations in Sumatra, Indonesia, using the Google Earth Engine / Thuan Sarzynski in Remote sensing, vol 12 n° 7 (April 2020)
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Titre : Combining radar and optical imagery to map oil palm plantations in Sumatra, Indonesia, using the Google Earth Engine Type de document : Article/Communication Auteurs : Thuan Sarzynski, Auteur ; Xingli Giam, Auteur ; Luis Carrasco, Auteur ; et al., Auteur Année de publication : 2020 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] carte de la végétation
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] Elaeis guineensis
[Termes IGN] Google Earth Engine
[Termes IGN] image Landsat
[Termes IGN] image radar moirée
[Termes IGN] occupation du sol
[Termes IGN] Sumatra
[Termes IGN] surveillance agricole
[Termes IGN] utilisation du solRésumé : (auteur) Monitoring the expansion of commodity crops in the tropics is crucial to safeguard forests for biodiversity and ecosystem services. Oil palm (Elaeis guineensis) is one such crop that is a major driver of deforestation in Southeast Asia. We evaluated the use of a semi-automated approach with random forest as a classifier and combined optical and radar datasets to classify oil palm land-cover in 2015 in Sumatra, Indonesia, using Google Earth Engine. We compared our map with two existing remotely-sensed oil palm land-cover products that utilized visual and semi-automated approaches for the same year. We evaluated the accuracy of oil palm land-cover classification from optical (Landsat), radar (synthetic aperture radar (SAR)), and combined optical and radar satellite imagery (Combined). Combining Landsat and SAR data resulted in the highest overall classification accuracy (84%) and highest producer’s and user’s accuracy for oil palm classification (84% and 90%, respectively). The amount of oil palm land-cover in our Combined map was closer to official government statistics than the two existing land-cover products that used visual interpretation techniques. Our analysis of the extents of disagreement in oil palm land-cover indicated that our map had comparable accuracy to one of them and higher accuracy than the other. Our results demonstrate that a combination of optical and radar data outperforms the use of optical-only or radar-only datasets for oil palm classification and that our technique of preprocessing and classifying combined optical and radar data in the Google Earth Engine can be applied to accurately monitor oil-palm land-cover in Southeast Asia. Numéro de notice : A2020-455 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.3390/rs12071220 Date de publication en ligne : 10/04/2020 En ligne : https://doi.org/10.3390/rs12071220 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95554
in Remote sensing > vol 12 n° 7 (April 2020)[article]Geological map generalization driven by size constraints / Azimjon Sayidov in ISPRS International journal of geo-information, vol 9 n° 4 (April 2020)
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Titre : Geological map generalization driven by size constraints Type de document : Article/Communication Auteurs : Azimjon Sayidov, Auteur ; Meysam Aliakbarian, Auteur ; Robert Weibel, Auteur Année de publication : 2020 Article en page(s) : 29 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] algorithme de généralisation
[Termes IGN] carte géologique
[Termes IGN] données environnementales
[Termes IGN] généralisation automatique de données
[Termes IGN] opérateur de généralisation
[Termes IGN] programmation par contraintes
[Termes IGN] prospection minérale
[Termes IGN] taille (variable visuelle)
[Vedettes matières IGN] GénéralisationRésumé : (auteur) Geological maps are an important information source used in the support of activities relating to mining, earth resources, hazards, and environmental studies. Owing to the complexity of this particular map type, the process of geological map generalization has not been comprehensively addressed, and thus a complete automated system for geological map generalization is not yet available. In particular, while in other areas of map generalization constraint-based techniques have become the prevailing approach in the past two decades, generalization methods for geological maps have rarely adopted this approach. This paper seeks to fill this gap by presenting a methodology for the automation of geological map generalization that builds on size constraints (i.e., constraints that deal with the minimum area and distance relations in individual or pairs of map features). The methodology starts by modeling relevant size constraints and then uses a workflow consisting of generalization operators that respond to violations of size constraints (elimination/selection, enlargement, aggregation, and displacement) as well as algorithms to implement these operators. We show that the automation of geological map generalization is possible using constraint-based modeling, leading to improved process control compared to current approaches. However, we also show the limitations of an approach that is solely based on size constraints and identify extensions for a more complete workflow. Numéro de notice : A2020-261 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi9040284 Date de publication en ligne : 24/04/2020 En ligne : https://doi.org/10.3390/ijgi9040284 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95021
in ISPRS International journal of geo-information > vol 9 n° 4 (April 2020) . - 29 p.[article]Use of automated change detection and VGI sources for identifying and validating urban land use change / Ana-Maria Olteanu-Raimond in Remote sensing, vol 12 n° 7 (April 2020)
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Titre : Use of automated change detection and VGI sources for identifying and validating urban land use change Type de document : Article/Communication Auteurs : Ana-Maria Olteanu-Raimond , Auteur ; L. See, Auteur ; M. Schultz, Auteur ; Giles M. Foody, Auteur ; M. Riffler, Auteur ; T. Gasber, Auteur ; Laurence Jolivet
, Auteur ; Arnaud Le Bris
, Auteur ; Yann Méneroux
, Auteur ; Lanfa Liu, Auteur ; Marc Poupée
, Auteur ; Marie Gombert, Auteur
Année de publication : 2020 Projets : Landsense / Raimond, Ana-Maria Article en page(s) : n° 1186 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] carte d'utilisation du sol
[Termes IGN] cartographie collaborative
[Termes IGN] changement d'utilisation du sol
[Termes IGN] détection automatique
[Termes IGN] détection de changement
[Termes IGN] données localisées des bénévoles
[Termes IGN] estimation de précision
[Termes IGN] science citoyenne
[Termes IGN] zone urbaineRésumé : (Auteur) Land use and land cover (LULC) mapping is often undertaken by national mapping agencies, where these LULC products are used for different types of monitoring and reporting applications. Updating of LULC databases is often done on a multi-year cycle due to the high costs involved, so changes are only detected when mapping exercises are repeated. Consequently, the information on LULC can quickly become outdated and hence may be incorrect in some areas. In the current era of big data and Earth observation, change detection algorithms can be used to identify changes in urban areas, which can then be used to automatically update LULC databases on a more continuous basis. However, the change detection algorithm must be validated before the changes can be committed to authoritative databases such as those produced by national mapping agencies. This paper outlines a change detection algorithm for identifying construction sites, which represent ongoing changes in LU, developed in the framework of the LandSense project. We then use volunteered geographic information (VGI) captured through the use of mapathons from a range of different groups of contributors to validate these changes. In total, 105 contributors were involved in the mapathons, producing a total of 2778 observations. The 105 contributors were grouped according to six different user-profiles and were analyzed to understand the impact of the experience of the users on the accuracy assessment. Overall, the results show that the change detection algorithm is able to identify changes in residential land use to an adequate level of accuracy (85%) but changes in infrastructure and industrial sites had lower accuracies (57% and 75 %, respectively), requiring further improvements. In terms of user profiles, the experts in LULC from local authorities, researchers in LULC at the French national mapping agency (IGN), and first-year students with a basic knowledge of geographic information systems had the highest overall accuracies (86.2%, 93.2%, and 85.2%, respectively). Differences in how the users approach the task also emerged, e.g., local authorities used knowledge and context to try to identify types of change while those with no knowledge of LULC (i.e., normal citizens) were quicker to choose ‘Unknown’ when the visual interpretation of a class was more difficult. Numéro de notice : A2020-243 Affiliation des auteurs : LASTIG+Ext (2016-2019) Autre URL associée : vers HAL Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/rs12071186 Date de publication en ligne : 07/04/2020 En ligne : https://doi.org/10.3390/rs12071186 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95217
in Remote sensing > vol 12 n° 7 (April 2020) . - n° 1186[article]An original method for tree species classification using multitemporal multispectral and hyperspectral satellite data / Olga Grigorieva in Silva fennica, vol 54 n° 2 (March 2020)
PermalinkA discriminative tensor representation model for feature extraction and classification of multispectral LiDAR data / Qingwang Wang in IEEE Transactions on geoscience and remote sensing, vol 58 n° 3 (March 2020)
PermalinkLes missions photogrammétriques réalisées par drone au centimètre sans points de calage au sol / Olivier Degueldre in XYZ, n° 162 (mars 2020)
PermalinkMorphological tessellation as a way of partitioning space: Improving consistency in urban morphology at the plot scale / Martin Fleischmann in Computers, Environment and Urban Systems, vol 80 (March 2020)
PermalinkQuels plans de comparaison à Paris avant le nivellement général de la France ? / Alain Coulomb in XYZ, n° 162 (mars 2020)
PermalinkA convolutional neural network approach for counting and geolocating citrus-trees in UAV multispectral imagery / Lucas Prado Osco in ISPRS Journal of photogrammetry and remote sensing, vol 160 (February 2020)
PermalinkData scale as cartography: a semi-automatic approach for thematic web map creation / Auriol Degbelo in Cartography and Geographic Information Science, vol 47 n° 2 (February 2020)
PermalinkEstimating wheat yields in Australia using climate records, satellite image time series and machine learning methods / Elisa Kamir in ISPRS Journal of photogrammetry and remote sensing, vol 160 (February 2020)
PermalinkPromoting environmental justice through Integrated mapping approaches: the map of water conflicts in Andalusia (Spain) / Belen Pedregal in ISPRS International journal of geo-information, vol 9 n° 2 (February 2020)
PermalinkThe "Incense Road" from Petra to Gaza: an analysis using GIS and Cost functions / Motti Zohar in International journal of geographical information science IJGIS, vol 34 n° 2 (February 2020)
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