Centre de documentation
scientifique

Surface displacement measurement from remote sensing images, ch. 2. Image matching and optical sensors / Marc Pierrot-Deseilligny (2022)  

Public Titre de série : Surface displacement measurement from remote sensing images, ch. 2 Titre : Image matching and optical sensors Type de document : Chapitre/Contribution Auteurs : Marc Pierrot-Deseilligny , Auteur ; Ewelina Rupnik , Auteur Editeur : New York, Londres, Hoboken (New Jersey), ... : John Wiley & Sons Année de publication : 2022 Projets : 1-Pas de projet / Importance : pp 37 - 57 Note générale : bibliographie in Print ISBN:9781789450835 |Online ISBN:9781119986843 |DOI:10.1002/9781119986843 book coordinated by Olivier Cavalié and Emmanuel Trouvé Langues : Anglais (eng) Résumé : (auteur) Image matching is a well-known problem in the Earth sciences and features in two main applications: the computation of three dimension (3D) geometry from images acquired from different viewpoints and the computation of surface deformations from images acquired from similar points of view. The most common image-matching approach is the so-called vignette or template matching. The ideal sensor simulates a single-line pushbroom sensor, free from optical distortions and from the jitter artifacts caused by high-frequency attitude changes. Until recently, frame cameras were more common in terrestrial and airborne applications, whereas pushbroom scanners were a standard in space borne imaging. Currently, the energetic approach is the most common way to solve the matching problem, both in academic and commercial software solutions. Sensor orientation in 3D space is carried out in two steps by applying the so-called intrinsic and extrinsic calibration parameters. Numéro de notice : H2022-001 Affiliation des auteurs : UGE-LASTIG (2020- ) Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : 10.1002/9781119986843.ch2 Date de publication en ligne : 29/05/2022 En ligne : https://doi.org/10.1002/9781119986843.ch2 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101206

Surface displacement measurement from remote sensing images, ch. 9. Anthropogenic activity: Monitoring surface-motion consequences of human activities with spaceborne InSAR / Bénédicte Fruneau (2022)  

Public Titre de série : Surface displacement measurement from remote sensing images, ch. 9 Titre : Anthropogenic activity: Monitoring surface-motion consequences of human activities with spaceborne InSAR Type de document : Chapitre/Contribution Auteurs : Bénédicte Fruneau , Auteur ; Dinh Ho Tong Minh, Auteur ; Daniel Raucoules, Auteur Editeur : New York, Londres, Hoboken (New Jersey), ... : John Wiley & Sons Année de publication : 2022 Projets : 1-Pas de projet / Importance : pp 283 - 313 Note générale : bibliographie in Print ISBN:9781789450835 |Online ISBN:9781119986843 |DOI:10.1002/9781119986843 book coordinated by Olivier Cavalié and Emmanuel Trouvé Langues : Anglais (eng) Résumé : (auteur) This chapter presents the application of spaceborne synthetic aperture radar (SAR) interferometric techniques to ground surface deformation resulting from human activity. Subsurface anthropogenic activity can also amplify natural subsidence and can even trigger significant earthquakes. Interferometric SAR (InSAR), as a space-based geodetic tool, thus provides interesting imaging capability for the mapping and monitoring of land motion in response to anthropogenic activities. InSAR can be applied during all phases of tunneling projects: before, to identify pre-existing ground movements; during the work; and after the completion of the work for residual deformation monitoring. InSAR also plays a growing role in evaluating water-management practices and in implementing appropriate water-management strategies that may include subsidence mitigation. Spaceborne SAR interferometry can contribute to such monitoring by complementing and partially replacing ground-based measurements. Fluid extraction and cavity excavation are the main anthropogenic sources of subsidence. Numéro de notice : H2022-002 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : 10.1002/9781119986843.ch9 Date de publication en ligne : 29/05/2022 En ligne : https://doi.org/10.1002/9781119986843.ch9 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101207

Position, navigation, and timing technologies in the 21st century: Integrated satellite navigation, sensor systems, and civil applications, ch. 27. Global geodesy and reference frames / Chris Rizos (2020)  

Public Titre de série : Position, navigation, and timing technologies in the 21st century: Integrated satellite navigation, sensor systems, and civil applications, ch. 27 Titre : Global geodesy and reference frames Type de document : Chapitre/Contribution Auteurs : Chris Rizos, Auteur ; Zuheir Altamimi , Auteur ; Gary Johnson, Auteur Editeur : New York, Londres, Hoboken (New Jersey), ... : John Wiley & Sons Année de publication : 2020 Projets : 1-Pas de projet / Importance : pp 717 - 739 Note générale : in Position, Navigation, and Timing Technologies in the 21st Century: Integrated Satellite Navigation, Sensor Systems, and Civil Applications, Volume 1 - Editor(s): Y. T. Jade Morton, Frank van Diggelen, James J. Spilker Jr., Bradford W. Parkinson, Sherman Lo, Grace Gao - First published: 15 December 2020 - Print ISBN:9781119458418 | Online ISBN: 9781119458449 | DOI: 10.1002/9781119458449 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes de référence et réseaux [Termes IGN] International GNSS Service [Termes IGN] International Terrestrial Reference Frame [Termes IGN] positionnement par GNSS Résumé : (auteur) This chapter is organized into three parts. The first part is an introduction to space geodesy, the principles of global navigation satellite system (GNSS) geodesy, and the International Association of Geodesy (IAG). The IAG is the scientific association that organizes the space geodetic services that support high‐accuracy GNSS positioning for scientific and societal applications. The most important of the IAG services is the International GNSS Service (IGS), and the second part of the chapter provides a short description of the IGS and its role in providing the geodetic infrastructure and services that underpin precision GNSS positioning. The third part describes one of the most important products of modern geodesy, the Terrestrial Reference Frame (TRF). The chapter also provides a brief explanation of how the International TRF is realized, including some information on the current ITRF2014. Numéro de notice : H2020-004 Affiliation des auteurs : UMR IPGP-Géod+Ext (2020- ) Thématique : POSITIONNEMENT Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : 10.1002/9781119458449.ch27 Date de publication en ligne : 15/12/2020 En ligne : https://doi.org/10.1002/9781119458449.ch27 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96825

Geographical Modeling : Cities and Territories, ch. 4. Incremental Territorial Modeling / Clémentine Cottineau (2019)  

Public Titre de série : Geographical Modeling : Cities and Territories, ch. 4 Titre : Incremental Territorial Modeling Type de document : Chapitre/Contribution Auteurs : Clémentine Cottineau, Auteur ; Paul Chapron , Auteur ; Marion Le Texier, Auteur ; Sébastien Rey-Coyrehourcq, Auteur Editeur : New York, Londres, Hoboken (New Jersey), ... : John Wiley & Sons Année de publication : 2019 Importance : pp 95 - 123 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] complexité [Termes IGN] complexité de la carte [Termes IGN] conception cartographique [Termes IGN] modèle de simulation [Termes IGN] représentation cartographique [Termes IGN] territoire Résumé : (auteur) This chapter illustrates the importance of territorial representation by referring to a substrate closer to the discipline: cartographic modeling. It presents the main issues with embedding territorial representation and territorial dynamics in simulation models. The chapter depicts scientific practices and illustrates them with select model examples. It proposes a singular and reproducible modeling strategy, which aims specifically at describing a territorial system and its evolution. This strategy relies on multi‐modeling or incremental modeling. The chapter provides a presentation of the limits and opportunities of this approach, with a discussion of its applicability and interest to different case studies. It also provides the reader–modeler–geographer with a guide to represent territorial complexity in a progressive and well‐reasoned manner, in order to develop a reproducible territorial model and evaluation protocol. Numéro de notice : H2019-004 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : 10.1002/9781119687290.ch4 Date de publication en ligne : 17/12/2019 En ligne : https://doi.org/10.1002/9781119687290.ch4 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95319

Voir aussi

• La modélisation en géographie : villes et territoires, ch. 4. Modélisation territoriale incrémentale / Clémentine Cottineau (2020)

QGIS and applications in agriculture and forest, ch. 6. Vegetation cartography from Sentinel-1 radar images / Pierre-Louis Frison (2018)  

Public contenu dans QGIS in Remote Sensing, Volume 2. QGIS and applications in agriculture and forest / Nicolas Baghdadi (2018)   Titre de série : QGIS and applications in agriculture and forest, ch. 6 Titre : Vegetation cartography from Sentinel-1 radar images Type de document : Chapitre/Contribution Auteurs : Pierre-Louis Frison , Auteur ; Cédric Lardeux, Auteur Editeur : Londres : ISTE Editions Année de publication : 2018 Autre Editeur : New York, Londres, Hoboken (New Jersey), ... : John Wiley & Sons Note générale : bibliographie Langues : Anglais (eng) Résumé : (auteur) Remote sensing is particularly well suited to monitoring terrestrial surfaces, especially vegetation. The cartography from spaceborne images allows the estimation of land use over large areas. The Sentinel‐1 mission consists of the orbiting of two satellites (Sentinel‐1A [S1A] and 1B [S1B]) carrying a synthetic aperture radar (SAR) sensor. This chapter provides a brief review of the main classification methods used in remote sensing, and details the pre‐processing of Sentinel‐1 radar data required for use in classification algorithms. These classifications aim to map main land use entities. The processing presented is developed in Python language, based on the Orfeo Toolbox (OTB) algorithms, and integrated into quantum geographic information system (QGIS) software, in order to make them accessible to non‐specialists in radar data. A classification algorithm aims to generate, from one or more remote sensing images, an image containing different thematic classes. The chapter presents the application of random forest (RF) classification, which requires training polygons. Numéro de notice : H2018-007 Affiliation des auteurs : UPEM-LASTIG (2016-2019) Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : 10.1002/9781119457107.ch6 Date de publication en ligne : 19/01/2018 En ligne : https://doi.org/10.1002/9781119457107.ch6 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91928

Voir aussi

• Utilisation de QGIS en télédétection, ch. 6. Cartographie de la végétation à partir d'images radar Sentinel-1 / Pierre-Louis Frison (2018)

QGIS in Remote Sensing, ch. 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 (2018)  

Permalink

Artificial neural networks in geospatial analysis / Sucharita Gopal (2017)  

Permalink

Evolution letters / Society for the Study of Evolution (2017 -)  

Permalink

The International Encyclopedia of Geography: People, The Earth, Environment, and Technology, ch. Map Generalization / William A Mackaness (2017)  

Permalink

GPS satellite surveying / Alfred Leick (2015)

Permalink

Remote sensing and image interpretation / Thomas M. Lillesand (2015)

Permalink

Earth and space science / American Geophysical Union (2014 - )  

Permalink

Geo: Geography and Environment / Royal geographical society (Royaume-Uni) (2014 - )  

Permalink

Remote sensing imagery / Florence Tupin (2014)  

Permalink

Remote sensing imagery, ch 9. Elevation measurements / Michel Roux (2014)  

Permalink