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Estimation of winter wheat crop growth parameters using time series Sentinel-1A SAR data / P. Kumar in Geocarto international, vol 33 n° 9 (September 2018)  

Public [article]  inGeocarto international > vol 33 n° 9 (September 2018) . - pp 942 - 956 Titre : Estimation of winter wheat crop growth parameters using time series Sentinel-1A SAR data Type de document : Article/Communication Auteurs : P. Kumar, Auteur ; R. Prasad, Auteur ; D. K. Gupta, Auteur ; V. N. Mishra, Auteur ; et al., Auteur Année de publication : 2018 Article en page(s) : pp 942 - 956 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] bande C [Termes IGN] blé (céréale) [Termes IGN] classification par forêts d'arbres décisionnels [Termes IGN] croissance végétale [Termes IGN] cultures [Termes IGN] données polarimétriques [Termes IGN] estimation statistique [Termes IGN] hiver [Termes IGN] image Sentinel-SAR [Termes IGN] Leaf Area Index [Termes IGN] régression [Termes IGN] régression linéaire [Termes IGN] réseau neuronal artificiel [Termes IGN] séparateur à vaste marge [Termes IGN] teneur en eau de la végétation Résumé : (Auteur) In the present study, Sentinel-1A Synthetic Aperture Radar analysis of time series data at C-band was carried out to estimate the winter wheat crop growth parameters. Five different date images were acquired during January 2015–April 2015 at different growth stages from tillering to ripening in Varanasi district, India. The winter wheat crop parameters, i.e. leaf area index, vegetation water content (VWC), fresh biomass (FB), dry biomass (DB) and plant height (PH) were estimated using random forest regression (RFR), support vector regression (SVR), artificial neural network regression (ANNR) and linear regression (LR) algorithms. The Ground Range Detected products of Interferometric Wide (IW) Swath were used at VV polarization. The three different subplots of 1 m2 area were taken for the measurement of crop parameters at every growth stage. In total, 73 samples were taken as the training data-sets and 39 samples were taken as testing data-sets. The highest sensitivity (adj. R2 = 0.95579) of backscattering with VWC was found using RFR algorithm, whereas the lowest sensitivity (adj. R2 = 0.66201) was found for the PH using LR algorithm. Overall results indicate more accurate estimation of winter wheat parameters by the RFR algorithm followed by SVR, ANNR and LR algorithms. Numéro de notice : A2018-337 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2017.1316781 Date de publication en ligne : 18/04/2017 En ligne : https://doi.org/10.1080/10106049.2017.1316781 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90551 [article]

Applied satellite navigation using GPS, Galileo, and augmentation systems / R. Prasad (2005)

Public Titre : Applied satellite navigation using GPS, Galileo, and augmentation systems Type de document : Monographie Auteurs : R. Prasad, Auteur ; M. Ruggieri, Auteur Editeur : Londres, Washington : Artech House Année de publication : 2005 Collection : The Artech House mobile communications series Importance : 290 p. Format : 18 x 26 cm ISBN/ISSN/EAN : 978-1-58053-814-5 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement [Termes IGN] Galileo [Termes IGN] Global Positioning System [Termes IGN] positionnement par EGNOS [Termes IGN] positionnement par Galileo [Termes IGN] positionnement par GPS [Termes IGN] signal GPS [Termes IGN] Wide Area Augmentation System Index. décimale : 30.70 Navigation et positionnement Résumé : (Editeur) This authoritative work brings you a timely, unified analysis of the various satellite navigation technologies, applications, and services in operation or development, and of the challenges that lie ahead in this rapidly evolving field. It describes the segments, signal characteristics, performance, and securities aspects of the GPS system, including the advances anticipated in the next-generation GPS-III, and brings you up to speed on the developing European GALILEO system and its innovative characteristics, services, and potential. A look at ground-based and satellite-based augmentation systems (GBAS and SBAS) highlights their performance-improving features and how these systems may serve as connection rings between GPS and future networks like GALILEO. This definitive book examines the advanced architectures paving the way for the future integration of satellite navigation systems with wireless communications systems, including next-generation 4G wireless networks, and for interoperability among the different satellite navigation systems themselves. Yet unanswered questions about industry standardization, service issues, and legal and liability issues are also addressed in detail. Hundreds of references, illustrations, and an original layer-based overview of earth, sea, air, and space navigation systems round out this complete, forward-looking guide to satellite navigation technologies and services. Numéro de notice : 20554 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Monographie Accessibilité hors numérique : Non accessible via le SUDOC Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=63079