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A meta-analysis and review of the literature on the k-Nearest Neighbors technique for forestry applications that use remotely sensed data / Gherardo Chirici in Remote sensing of environment, vol 176 (April 2016)  

Public [article]  inRemote sensing of environment > vol 176 (April 2016) . - pp 282 - 294 Titre : A meta-analysis and review of the literature on the k-Nearest Neighbors technique for forestry applications that use remotely sensed data Type de document : Article/Communication Auteurs : Gherardo Chirici, Auteur ; Matteo Mura, Auteur ; Daniel McInerney, Auteur ; Nicolas Py , Auteur ; Erkki Tomppo, Auteur ; Lars T. Waser, Auteur ; Davide Travaglini, Auteur ; Ronald E. McRoberts, Auteur Année de publication : 2016 Article en page(s) : pp 282 - 294 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] classification barycentrique [Termes IGN] forêt [Termes IGN] image aérienne [Termes IGN] image satellite [Termes IGN] plus proche voisin, algorithme du Résumé : (auteur) The k-Nearest Neighbors (k-NN) technique is a popular method for producing spatially contiguous predictions of forest attributes by combining field and remotely sensed data. In the framework of Working Group 2 of COST Action FP1001, we reviewed the scientific literature for forestry applications of k-NN. Information available in scientific publications on this topic was used to populate a database that was then used as the basis for a meta-analysis. We extracted qualitative and quantitative information from 260 experimental tests described in 148 scientific papers. The papers represented a geographic range of 26 countries and a temporal range from 1981 to 2013. Firstly, we describe the literature search and the information extracted and analyzed. Secondly, we report the results of the meta-analysis, especially with respect to estimation accuracies reported for k-NN applications for different configurations, different forest environments, and different input information. We also provide a summary of results that may reasonably be expected for those planning a k-NN application using remotely sensed data from different sensors and for different forest attributes. Finally, we identify some methodological publications that have advanced the state of the science with respect to k-NN. Numéro de notice : A2016--196 Affiliation des auteurs : IGN+Ext (2012-2019) Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2016.02.001 Date de publication en ligne : 13/02/2016 En ligne : https://doi.org/10.1016/j.rse.2016.02.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91859 [article]

Open source geospatial tools / Daniel McInerney (2015)

Public Titre : Open source geospatial tools : applications in Earth observation Type de document : Monographie Auteurs : Daniel McInerney, Éditeur scientifique ; Pieter Kempeneers, Éditeur scientifique Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2015 Collection : Earth systems data and models Importance : 358 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-319-01823-2 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique [Termes IGN] analyse de données [Termes IGN] classification multibande [Termes IGN] données localisées 3D [Termes IGN] données maillées [Termes IGN] données vectorielles [Termes IGN] Geospatial data abstraction library [Termes IGN] interface de programmation [Termes IGN] lasergrammétrie [Termes IGN] logiciel libre [Termes IGN] Orfeo Tool Box [Termes IGN] outil logiciel [Termes IGN] traitement d'image [Termes IGN] traitement de données localisées Index. décimale : 37.35 Logiciels SIG Résumé : (Editeur) This book focuses on the use of open source software for geospatial analysis. It demonstrates the effectiveness of the command line interface for handling both vector, raster and 3D geospatial data. Appropriate open-source tools for data processing are clearly explained and discusses how they can be used to solve everyday tasks. A series of fully worked case studies are presented including vector spatial analysis, remote sensing data analysis, landcover classification and LiDAR processing. A hands-on introduction to the application programming interface (API) of GDAL/OGR in Python/C++ is provided for readers who want to extend existing tools and/or develop their own software. Note de contenu : Part - I Geospatial Data Processing with GDAL/OGR 1. Introduction 2. Vector Data Processing 3. Raster Data Explained 4. Introduction to GDAL Utilities 5. Manipulating Raster Data 6. Indexed Color Images 7. Image Overviews, Tiling and Pyramids 8. Image (Re-)projections and Merging 9. Raster Meets Vector Data 10. Raster Meets Point Data 11. Virtual Rasters and Raster Calculations Part - II Third Party Open Source Geospatial Utilities 12. Pktools 13. Orfeo Toolbox 14. Write Your Own Geospatial Utilities 15. 3D Point Cloud Data Processing Part - III Case Studies 16. Case Study on Vector Spatial Analysis 17. Case Study on Multispectral Land Cover Classification 18. Case Study on Point Data 19. Conclusions and Future Outlook Appendix A: Data Covered in the Book Appendix B: Installation of Software Glossary Numéro de notice : 22219 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Recueil / ouvrage collectif Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75218

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
22219-01	37.35	Livre	Centre de documentation	Géomatique	Disponible

Design and function of the European forest fire information system / Daniel McInerney in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 10 (October 2013)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 10 (October 2013) . - pp 965 - 973 Titre : Design and function of the European forest fire information system Type de document : Article/Communication Auteurs : Daniel McInerney, Auteur ; Jesus San-Miguel-Ayanz, Auteur ; Paolo Corti, Auteur Année de publication : 2013 Article en page(s) : pp 965 - 973 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] Afrique du nord [Termes IGN] diffusion par internet [Termes IGN] données environnementales [Termes IGN] Europe (géographie politique) [Termes IGN] forêt [Termes IGN] forêt tempérée [Termes IGN] incendie de forêt [Termes IGN] Moyen-Orient [Termes IGN] outil d'aide à la décision [Termes IGN] système d'information géographique Résumé : (Auteur) The European Forest Fire Information System (EFFIS) is a modular decision support system that monitors forest fires at a continental scale. It delivers real-time, multi-dimensional data on forest fires to civil protection and fire fighting services in Europe, North Africa, and the Middle-East. Since its inception in 2001, EFFIS has evolved into the central reference point for pan-European forest and wildfire information, and this paper describes and current applications demonstrate the state-of-the-art fire information systems that provide data to civil protection authorities across Europe. The objective of EFFIS is to provide accurate data in order to assess and mitigate the impacts of wildfire events on society and the environment. Furthermore, EFFIS provides real-time information on critical fires, supporting decision making for international collaboration on forest fire fighting activities. Its goal is to make these data readily available using Web-based standards and protocols. Numéro de notice : A2013-569 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE Nature : Article DOI : 10.14358/PERS.79.10.965 En ligne : https://doi.org/10.14358/PERS.79.10.965 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32705 [article]