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QGIS in Remote Sensing, Volume 4. QGIS and Applications in Water and Risks / Nicolas Baghdadi (2018)
Titre de série : QGIS in Remote Sensing, Volume 4 Titre : QGIS and Applications in Water and Risks Type de document : Monographie Auteurs : Nicolas Baghdadi, Éditeur scientifique ; Clément Mallet , Éditeur scientifique ; Mehrez Zribi, Éditeur scientifique Editeur : Londres : ISTE Editions Année de publication : 2018 Importance : 320 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-1-119-47672-6 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] aléa
[Termes IGN] anthropisation
[Termes IGN] carte bathymétrique
[Termes IGN] cartographie thématique
[Termes IGN] données bathymétriques
[Termes IGN] érosion hydrique
[Termes IGN] image multibande
[Termes IGN] modèle numérique bathymétrique
[Termes IGN] modèle numérique de terrain
[Termes IGN] modèle RUSLE
[Termes IGN] QGIS
[Termes IGN] ressources en eau
[Termes IGN] risque naturel
[Termes IGN] télédétection spatiale
[Termes IGN] traitement d'imageIndex. décimale : 37.40 Applications SIG Résumé : (Editeur) The QGIS in Remote Sensing Set aims to facilitate the appropriation and operational use of the Quantum Geographic Information System (QGIS) software in the field of remote sensing. This fourth volume of the set is dedicated to the presentation and the practice of QGIS and its libraries of applications dealing with water and risk management issues. In the context of global changes (climatic and anthropogenic), understanding and quantifying water resource dynamics and the various aspects of risks is essential for managers in public authorities and local population. This work is carried out by scientists who are proficient to a high level of technicality. The book is targeted at students (Masters, engineering students, PhDs), engineers involved in the management of water resources and territory, and research teams in geomatics. In addition to the text, readers will have access to data and tools allowing the integral realization of the scientific procedures described in each chapter, as well as screenshots of all the windows which illustrate the manipulations necessary for the realization of each application. Note de contenu : 1. Monitoring Coastal Bathymetry Using Multispectral Satellite Images at High Spatial Resolution /
Bertrand Lubac.
2. Contribution of the Integrated Topo-bathymetric Model for Coastal Wetland Evolution: Case of Geomorphologic and Biological Evolution of Ichkeul Marshes (North Tunisia) / Zeineb Kassouk, Zohra Lili-Chabaane, Benoit Deffontaines, Mohammad El Hajj and Nicolas Baghdadi.
3. Reservoir Hydrological Monitoring by Satellite Image Analysis / Paul Passy and Adrien Selles.
4. Network Analysis and Routing with QGIS / Hervé Pella and Kenji Ose.
5. Representation of the Drainage Network in Urban and Peri-urban Areas Using a 2D Polygonal Mesh Composed of Pseudo-convex Elements / Pedro Sanzana, Sergio Villaroel, Isabelle Braud, Nancy Hitschfeld, Jorge Gironas, Flora Branger, Fabrice Rodriguez, Ximena Vargas and Tomas Gomez.
6. Mapping of Drought / Mohammad El Hajj, Mehrez Zribi, Nicolas Baghdadi and Michel Le Page.
7. A Spatial Sampling Design Based on Landscape Metrics for Pest Regulation: The Millet Head Miner Case Study in the Bambey Area, Senegal / Valérie Soti.
8. Modeling Erosion Risk Using the RUSLE Equation / Rémi Andreoli.Numéro de notice : 17567D Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : GEOMATIQUE/IMAGERIE Nature : Recueil / ouvrage collectif nature-HAL : DirectOuvrColl/Actes DOI : 10.1002/9781119476726 Date de publication en ligne : 16/02/2018 En ligne : http://dx.doi.org/10.1002/9781119476726 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91931 Voir aussi
- Utilisation de QGIS en télédétection, Volume 4. QGIS et applications en eau et risques / Nicolas Baghdadi (2018)
- QGIS in Remote Sensing, Volume 2. QGIS and applications in agriculture and forest / Nicolas Baghdadi (2018)
- QGIS in Remote Sensing, Volume 3. QGIS and Applications in Territorial Planning / Nicolas Baghdadi (2018)
- QGIS in Remote Sensing, Volume 1. QGIS and generic tools / Nicolas Baghdadi (2018)
- Uso de QGIS en la teledetección, Vol. 4. QGIS y sus aplicaciones en agua y en gestion del riego / Nicolas Baghdadi (2020)
Satellite remote sensing of the variability of the continental hydrology cycle in the lower Mekong basin over the last two decades / Binh Pham-Duc (2018)
Titre : Satellite remote sensing of the variability of the continental hydrology cycle in the lower Mekong basin over the last two decades Type de document : Thèse/HDR Auteurs : Binh Pham-Duc, Auteur ; Catherine Prigent, Directeur de thèse ; Filipe Aires, Directeur de thèse Editeur : Paris : Sorbonne Université Année de publication : 2018 Importance : 234 p. Format : 21 x 30 cm Note générale : bibliographie
Thèse de doctorat de Sciences de l'Environnement, Sorbonne UniversitéLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] carte hydrographique
[Termes IGN] changement climatique
[Termes IGN] classification par réseau neuronal
[Termes IGN] climat tropical
[Termes IGN] corrélation temporelle
[Termes IGN] eau de surface
[Termes IGN] image Aqua-MODIS
[Termes IGN] image Landsat-8
[Termes IGN] image Sentinel-SAR
[Termes IGN] Mekong (fleuve)
[Termes IGN] modèle hydrographique
[Termes IGN] précipitation
[Termes IGN] série temporelle
[Termes IGN] surveillance hydrologique
[Termes IGN] télédétection spatiale
[Termes IGN] variation saisonnièreIndex. décimale : THESE Thèses et HDR Résumé : (auteur) Surface water is essential for all forms of life since it is involved in almost all processes of life on Earth. Quantifying and monitoring surface water and its variations are important because of the strong connections between surface water, other hydrological components (groundwater and soil moisture, for example), and the changing climate system. Satellite remote sensing of land surface hydrology has shown great potential in studying hydrology from space at regional and global scales. In this thesis, different techniques using several types of satellite estimates have been made to study the variation of surface water, as well as other hydrological components in the lower Mekong basin (located in Vietnam and Cambodia) over the last two decades. This thesis focuses on four aspects. First, the use of visible/infrared MODIS/Terra satellite observations to monitor surface water in the lower Mekong basin is investigated. Four different classification methods are applied, and their results of surface water maps show similar seasonality and dynamics. The most suitable classification method, that is specially designed for tropical regions, is chosen to produce regular surface water maps of the region at 500 m spatial resolution, from January 2001 to present time. Compared to reference data, the MODIS-derived surface water time series show the same amplitude, and very high temporal correlation for the 2001-2007 period (> 95%). Second, the use of SAR Sentinel-1 satellite observations for the same objective is studied. Optical satellite data are replaced by SAR satellite data to benefit the ability of their microwave wavelengths to pass through clouds. Free-cloud Landsat-8 satellite imagery are set as targets to train and optimize a Neural Network (NN). Predicted surface water maps (30 m spatial resolution) are built for the studied region from January 2015 to present time, by applying a threshold (0.85) to the output of the NN. Compared to reference free-cloud Landsat-8 surface water maps, results derived from the NN show high spatial correlation (_90%), as well as true positive detection of water pixels (_90%). Predicted SAR surface water maps are also compared to floodability maps derived from topography data, and results show high consistency between the two independent maps with 98% of SAR-derived water pixels located in areas with a high probability of inundation (>60%). Third, the surface water volume variation is calculated as the product of the surface water extent and the surface water height. The two components are validated with other hydrological products, and results show good consistencies. The surface water height are linearly interpolated over inundated areas to build monthly maps at 500 m spatial resolution, then are used to calculate changes in the surface water volume. Results show high correlations when compared to variation of the total land surface water volume derived from GRACE data (95%), and variation of the in situ discharge estimates (96%). Fourth, two monthly global multi-satellite surface water products (GIEMS & SWAMPS) are compared together over the 1993-2007 period at regional and global scales. Ancillary data are used to support the analyses when available. Similar temporal dynamics of global surface water are observed when compared GIEMS and SWAMPS, but _50% of the SWAMPS inundated surfaces are located along the coast line. Over the Amazon and Orinoco basins, GIEMS and SWAMPS have very high water surface time series correlations (95% and 99%, respectively), but SWAMPS maximum water extent is just a half of what observed from GIEMS and SAR estimates. SWAMPS fails to capture surface water dynamics over the Niger basin since its surface water seasonality is out of phase with both GIEMS- and MODIS-derived water extent estimates, as well as with in situ river discharge data. Note de contenu : 1- Introduction
2- Surface water monitoring within the Mekong Delta and Cambodia using visible and Infrared MODIS satellite
observations
3- Surface water monitoring within the Mekong Delta and Cambodia using SAR Sentinel-1 satellite observations
4- Toward the analyses of the change in surface water volume within the lower Mekong Delta
5- Comparison between Global Terrestrial Surface Water datasets
6- Conclusions and perspectivesNuméro de notice : 25731 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse française Note de thèse : Thèse de Doctorat : Sciences de l'Environnement : Observatoire de Paris : 2018 Organisme de stage : Laboratoire d'Etude du Rayonnement et de la Matière en Astrophysique LERMA (Observatoire de Paris) nature-HAL : Thèse DOI : sans En ligne : https://tel.archives-ouvertes.fr/tel-02109003 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94914 Superpixel partitioning of very high resolution satellite images for large-scale classification perspectives with deep convolutional neural networks / Tristan Postadjian (2018)
Titre : Superpixel partitioning of very high resolution satellite images for large-scale classification perspectives with deep convolutional neural networks Type de document : Article/Communication Auteurs : Tristan Postadjian , Auteur ; Arnaud Le Bris , Auteur ; Hichem Sahbi, Auteur ; Clément Mallet , Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2018 Projets : GeoSud / Conférence : IGARSS 2018, IEEE International Geoscience And Remote Sensing Symposium, observing, understanding and forecasting the dynamics of our planet 22/07/2018 27/07/2018 Valencia Espagne Proceedings IEEE Importance : pp 1328 - 1331 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] apprentissage profond
[Termes IGN] base de données topographiques
[Termes IGN] carte d'occupation du sol
[Termes IGN] classification pixellaire
[Termes IGN] image à très haute résolution
[Termes IGN] image infrarouge
[Termes IGN] image RVB
[Termes IGN] image SPOT 6
[Termes IGN] image SPOT 7
[Termes IGN] réseau neuronal convolutif
[Termes IGN] segmentation d'imageRésumé : (auteur) Supervised classification is the fundamental task for landcover map generation. Deep neural networks recently outperformed other state-of-the-art classifiers in many machine learning challenges, from semantic segmentation to speech recognition. Such strategies are now commonly employed in the literature for the purpose of land-cover mapping. This paper develops the strategy for the use of deep networks to label very high resolution satellite images, with the perspective of mapping regions at country scale. Therefore, a superpixel based method is introduced in order to (i) ensure correct delineation of objects and (ii) perform the classification in a dense way but with decent computing times. Numéro de notice : C2018-056 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/IGARSS.2018.8519222 Date de publication en ligne : 05/11/2018 En ligne : https://doi.org/10.1109/IGARSS.2018.8519222 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91370 Synergie des données Sentinel optiques et radar pour l’observation et l’analyse de la végétation du littoral du Pays de Brest / Antoine Billey (2018)
Titre : Synergie des données Sentinel optiques et radar pour l’observation et l’analyse de la végétation du littoral du Pays de Brest Type de document : Mémoire Auteurs : Antoine Billey, Auteur Editeur : Le Mans : Ecole Supérieure des Géomètres et Topographes ESGT Année de publication : 2018 Importance : 62 p. Format : 21 x 30 cm Note générale : bibliographie
Mémoire présenté en vue d'obtenir le diplôme d'Ingénieur CNAM spécialité : Géomètre et TopographeLangues : Français (fre) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Brest
[Termes IGN] carte d'occupation du sol
[Termes IGN] carte de la végétation
[Termes IGN] classification dirigée
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] fusion de données
[Termes IGN] image multicapteur
[Termes IGN] image Sentinel-MSI
[Termes IGN] image Sentinel-SAR
[Termes IGN] image SPOT 6
[Termes IGN] littoral
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] Normalized Difference Water Index
[Termes IGN] série temporelle
[Termes IGN] surveillance de la végétation
[Termes IGN] télédétection spatiale
[Termes IGN] traitement de donnéesRésumé : (auteur) Cartographier la végétation d’un territoire est nécessaire pour le suivi et la gestion des espaces naturels. La cartographie de la végétation intéresse notamment les gestionnaires et les décideurs dans la gestion de territoire et l’aménagement du territoire. Le pays de Brest est un territoire possédant un patrimoine naturel riche et diversifié, lié au climat littoral qui subsiste. De nombreuses méthodes d’élaboration de cartes d’occupations des sols existent, et la télédétection spatiale représente un moyen efficace pour y parvenir.L’objectif de cette étude est de mettre au point une méthode de cartographie pour effectuer le suivi de la végétation du littoral du Pays de Brest à partir des nouvelles données satellites européennes. Note de contenu : Introduction
1- Contexte de l’étude
2- Méthodologie
3- Résultats et discussions
ConclusionNuméro de notice : 25724 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Mémoire ingénieur CNAM En ligne : https://dumas.ccsd.cnrs.fr/MEMOIRES-CNAM/dumas-02092722 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94879
Titre : The Use of remote sensing in hydrology Type de document : Monographie Auteurs : Frédéric Frappart, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2018 Importance : 258 p. Format : 17 x 25 cm ISBN/ISSN/EAN : 978-3-03842-910-4 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] capteur spatial
[Termes IGN] carte hydrographique
[Termes IGN] évapotranspiration
[Termes IGN] humidité du sol
[Termes IGN] hydrodynamique
[Termes IGN] hydrologie
[Termes IGN] image Cryosat
[Termes IGN] image Sentinel-SAR
[Termes IGN] inondation
[Termes IGN] modèle hydrographique
[Termes IGN] précipitation
[Termes IGN] stockage
[Termes IGN] surveillance hydrologiqueRésumé : (éditeur) Remotely sensed data are nowadays commonly used for regional/global monitoring of hydrological variables including soil moisture, rainfall, water levels, flood extent, evapotranspiration or land water storage, as well as the forcing, calibration and assimilation into hydrodynamic, hydrological and hydrometeorological models. In the years to come, recent and future satellite sensors, some of them specifically designed for hydrological purposes, will provide systematic observations of hydrological parameters (e.g., surface and sub-surface storage and flux) at high spatial and temporal resolutions. This will offer new applications for the hydrological community. This book presents reviews and recent advances of general interest regarding the use of remote sensing for hydrology. The chapters are related to any hydrological reservoir (e.g., surface storage, soil moisture, groundwater, etc.) or flux (e.g., rainfall, evapotranspiration, discharge, etc.), the integration of satellite data into hydrological models, and the improvements to hydrology that can be expected from future satellite missions. Numéro de notice : 25962 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Monographie DOI : 10.3390/books978-3-03842-910-4 En ligne : https://doi.org/10.3390/books978-3-03842-910-4 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96538 Les usages des systèmes d’informations géographiques en matière de gestion de mobilité en milieu urbain : la mise en accessibilité aux personnes à mobilité réduite des arrêts de bus en Seine-Seine-Denis / Thi-Lieu Gremont-Dong (2018)PermalinkUtilisation de QGIS en télédétection, ch. 6. Cartographie de la végétation à partir d'images radar Sentinel-1 / Pierre-Louis Frison (2018)PermalinkUtilisation de QGIS en télédétection, Volume 4. QGIS et applications en eau et risques / Nicolas Baghdadi (2018)PermalinkVers plus d'expressivité dans les représentations graphiques du territoire / Sidonie Christophe (2018)Permalinkn° 234 - décembre 2017 - [actes] A l'échelle du Monde - La carte : objet culturel, social et politique, du Moyen Âge à nos jours (Bulletin de Cartes & Géomatique) / Thierry CourcellePermalinkEstimation and mapping of above-ground biomass of mangrove forests and their replacement land uses in the Philippines using Sentinel imagery / Jose Alan A. Castillo in ISPRS Journal of photogrammetry and remote sensing, vol 134 (December 2017)PermalinkQuality control and new data-quality measures for the aesthetics of a Croatian topographic map at the scale of 1:25,000 / Branko Puceković in International journal of cartography, vol 3 n° 2 (December 2017)PermalinkDouble projection planes method for generating enriched disparity maps from multi-view stereo satellite images / Suliman Alaeldin in Photogrammetric Engineering & Remote Sensing, PERS, vol 83 n° 11 (November 2017)PermalinkVol 44 n° 6 - November 2017 - Special content sections: Crowdsourced mapping - continued (Bulletin de Cartography and Geographic Information Science)PermalinkAn effective spherical panoramic LoD model for a mobile street view service / Xianxiong Liu in Transactions in GIS, vol 21 n° 5 (October 2017)PermalinkAn empirical evaluation of three elevation change symbolization methods along routes in bicycle maps / Annina Brügger in Cartography and Geographic Information Science, Vol 44 n° 5 (September 2017)PermalinkBinSq : visualizing geographic dot density patterns with gridded maps / Alvin Chua in Cartography and Geographic Information Science, Vol 44 n° 5 (September 2017)PermalinkLa combinaison de l'image satellitaire avec les données citoyennes pour la mesure de l'ïlot de chaleur urbain : Premiers résultats sur la métropole de Lyon / Florent Renard in Ingénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI, vol 22 n° 5 (septembre - octobre 2017)PermalinkCrowdsourcing a cyclist perspective on suggested recreational paths in real-world networks / Kevin Baker in Cartography and Geographic Information Science, Vol 44 n° 5 (September 2017)PermalinkEvaluation de variables limnologiques grâce à des images Landsat / Danielle Teixeira Alves Da Silva in Géomatique expert, n° 118 (septembre - octobre 2017)PermalinkA mangrove forest map of China in 2015: Analysis of time series Landsat 7/8 and Sentinel-1A imagery in Google Earth Engine cloud computing platform / Bangqian Chen in ISPRS Journal of photogrammetry and remote sensing, vol 131 (September 2017)PermalinkVol 44 n° 5 - September 2017 - Special content sections: pointed innovations; bicycle mapping (Bulletin de Cartography and Geographic Information Science)PermalinkExploiting illusory grid lines for object-location memory performance in urban topographic maps / Frank Dickmann in Cartographic journal (the), Vol 54 n° 3 (August 2017)PermalinkReducing classification error of grassland overgrowth by combing low-density lidar acquisitions and optical remote sensing data / Timo P Pitkänen in ISPRS Journal of photogrammetry and remote sensing, vol 130 (August 2017)PermalinkA relative evaluation of random forests for land cover mapping in an urban area / Di Shi in Photogrammetric Engineering & Remote Sensing, PERS, vol 83 n° 8 (August 2017)PermalinkDeveloping detailed age-specific thematic maps for coffee (Coffea arabica L.) in heterogeneous agricultural landscapes using random forests applied on Landsat 8 multispectral sensor / Abel Chemura in Geocarto international, vol 32 n° 7 (July 2017)PermalinkDomains of uncertainty visualization research: a visual summary approach / Jennifer Smith Mason in Cartography and Geographic Information Science, Vol 44 n° 4 (July 2017)PermalinkEvaluating the performance of using PPK-GPS technique in producing topographic contour map / Ahmed El Shouny in Marine geodesy, vol 40 n° 4 (July 2017)PermalinkFusion of RADARSAT-2 and multispectral optical remote sensing data for LULC extraction in a tropical agricultural area / Mohamed Barakat A. Gibril in Geocarto international, vol 32 n° 7 (July 2017)PermalinkInteractive shearing for terrain visualization : an expert study / Jonas Buddeberg in Geoinformatica, vol 21 n° 3 (July - September 2017)PermalinkMap the gap: alternative visualisations of geographic knowledge production / Margath Walker in Geo: Geography and Environment, vol 4 n°2 (July 2017)PermalinkSafe separation distance score : a new metric for evaluating wildland firefighter safety zones using lidar / Michael J. Campbell in International journal of geographical information science IJGIS, vol 31 n° 7-8 (July - August 2017)PermalinkSuperresolution for UAV images via adaptive multiple sparse representation and its application to 3-D reconstruction / Muhammad Haris in IEEE Transactions on geoscience and remote sensing, vol 55 n° 7 (July 2017)PermalinkApplication of terrestrial laser scanning to the development and updating of the base map / Przemysław Klapa in Geodesy and cartography, vol 66 n° 1 (June 2017)PermalinkPermalinkDIOGEN, a multi-level oriented model for cartographic generalization / Adrien Maudet in International journal of cartography, vol 3 n° 1 (June 2017)PermalinkMonitoring mangrove biomass change in Vietnam using SPOT images and an object-based approach combined with machine learning algorithms / Lien T.H. Pham in ISPRS Journal of photogrammetry and remote sensing, vol 128 (June 2017)PermalinkNatura 2000 protected habitats, Massaciuccoli Lake (northern Tuscany, Italy) / Daniele Viciani in Journal of maps, vol 13 n° 2 ([01/06/2017])PermalinkViCTOr : paysage virtuel pour explorer les dynamiques de la VIticulture et de la Consommation en TouRaine / Etienne Delay in Cybergeo, European journal of geography, n° 2017 ([01/06/2017])PermalinkInvestigating the potential of deep neural networks for large-scale classification of very high resolution satellite images / Tristan Postadjian in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol IV-1/W1 (May 2017)PermalinkAn ontology-driven multi-agent system for nautical chart generalization / Jingya Yan in Cartography and Geographic Information Science, Vol 44 n° 3 (May 2017)PermalinkEvaluation of multisource data for glacier terrain mapping : a neural net approach / Aparna Shukla in Geocarto international, vol 32 n° 5 (May 2017)PermalinkA GIS approach to exploring monetary value on enclosure era property-related maps / Christopher Macdonald Hewitt in Cartographic journal (the), Vol 54 n° 2 (May 2017)PermalinkOf maps, cartography and the geography of the International Cartographic Association / Menno-Jan Kraak in International journal of cartography, vol 3 suppl 1 (May 2017)PermalinkDescription formelle de trajectoire de navigation en environnement maritime côtier / Wissame Laddada in Revue internationale de géomatique, vol 27 n° 2 (avril - juin 2017)PermalinkMapping forest attributes using data from stereophotogrammetry of aerial images and field data from the national forest inventory / Jonas Bohlin in Silva fennica, vol 51 n° 2 (2017)PermalinkMapping spatial distribution of forest age in China / Yuan Zhang in Earth and space science, vol 4 n° 3 (March 2017)PermalinkUne méthodologie nationale pour le géoréférencement et la vectorisation des cartes d’état-major, minutes au 1/40 000 / Thierry Lallemant in Revue forestière française, vol 69 n° 4-5 (2017)PermalinkAgricultural cropland mapping using black-and-white aerial photography, Object-Based Image Analysis and Random Forests / M.F.A. Vogels in International journal of applied Earth observation and geoinformation, vol 54 (February 2017)PermalinkDelineation of groundwater potential zones using remote sensing and GIS-based data-driven models / Samira Ghorbani Nejad in Geocarto international, vol 32 n° 2 (February 2017)Permalink