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Titre : Remote sensing of soil salinization : impact on land management Type de document : Monographie Auteurs : G. Metternicht, Éditeur scientifique ; J.A. Zinck, Éditeur scientifique Editeur : Boca Raton, New York, ... : CRC Press Année de publication : 2009 Importance : 374 p. Format : 18 x 26 cm ISBN/ISSN/EAN : 978-1-4200-6502-2 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse de données
[Termes IGN] anthropisation
[Termes IGN] carte thématique
[Termes IGN] estimation statistique
[Termes IGN] image ERS
[Termes IGN] image hyperspectrale
[Termes IGN] image Ikonos
[Termes IGN] image radar
[Termes IGN] irrigation
[Termes IGN] marais
[Termes IGN] modélisation
[Termes IGN] radar pénétrant GPR
[Termes IGN] risque environnemental
[Termes IGN] risque naturel
[Termes IGN] salinitéRésumé : (Editeur) Recognized and advocated as a powerful tool, the role of remote sensing in identifying, mapping, and monitoring soil salinity and salinization will continue to expand. This book delineates how to combine science and geospatial technologies for smart environmental management.
It explores the integrated use of image spectroscopy, electromagnetic induction (EM), and ground-penetrating radar for assessing and mapping soil salinity at local and regional levels ; reviews salt types and salinity classification schemes and the remote sensing tools and techniques for mapping and monitoring ; discusses the application of soil salinity mapping using ground-based electromagnetic induction techniques ; includes model-based integrated methods for quantitative estimation of soil salinity using hyperspectral remote sensing data ; underlines the importance of understanding the basic spectral, physical, and chemical characteristics and environmental setting of salt-affected soils in the landscape for remote sensing of salinity.
The book includes analyses of basic issues of remote detection, such as the spectral behaviour of salt types and vegetation influence, and evaluations of currently available remote sensing platforms, delineating their advantages and disadvantages for salinity mapping. The accompanying CD-ROM provides colour images that enhance the material discussed in the text. The mixture of fundamental concepts, latest technological reviews, and practical application examples makes this an ideal resource for environmental assessment and decision making.Note de contenu : Preface
PART I Soil Salinity and Remote Sensing: The Object and the Tool
Chapter 1 Soil Salinity and Salinization Hazard
J. Alfred Zinck and Graciela Metternicht
Chapter 2 Spectral Behavior of Salt Types
Graciela Metternicht and J. Alfred Zinck
Chapter 3 Review of Remote Sensing-Based Methods to Assess Soil Salinity
Eyal Ben-Dor, Graciela Metternicht, Naftaly Goldshleger, Eshel Mor, Vladmir Mirlas, and Uri Basson
PART II Trends in Mapping Soil Salinity and Monitoring Salinization with Remote and Proximal Sensing
Chapter 4 Mapping Areas Susceptible to Soil Salinity in the Irrigation Region
of Southern New South Wales, Australia.
David Eraser
Chapter 5 Generation of Farm-Level Information on Salt-Affected Soils Using IKONOS-II Multispectral Data
Ravi Shankar Dwivedi, Ramana Venkata Kothapalli, and Amarendra Narayana Singh
Chapter 6 The Suitability of Airborne Hyperspectral Imagery for Mapping Surface Indicators of Salinity in Dryland Farming Areas
Anna Dutkiewicz, Megan Lewis, and Bertram Ostendorf
Chapter 7 Applications of Hyperspectral Imagery to Soil Salinity Mapping
Thomas Schmid, Magaly Koch, and Jose Gumuzzio
Chapter 8 Characterization of Salt-Crust Build-Up and Soil Salinization in the United Arab Emirates by Means of Field and Remote Sensing Techniques
Fares M. Howari and Philip C. Goodell
Chapter 9 Assessment of Salt-Affected Soils Using Multisensor Radar Data: A Case Study from Northeastern Patagonia (Argentina)..
Hector F. del Valle, Paula D. Blanco, Walter Sione, Cesar M. Rostagno, and Nestor O. Elissalde
Chapter 10 Application of Landsat and ERS Imagery to the Study of Saline
Wetlands in Semiarid Agricultural Areas of Northeast Spain
Carmen Castaneda and Juan Herrero
Chapter 11 Mapping Soil Salinity Using Ground-Based Electromagnetic Induction Technique
Florence Cassel S., Dave Goorahoo, David Zoldoske, and Diganta Adhikari
Chapter 12 Combined Active and Passive Remote Sensing Methods for Assessing Soil Salinity: A Case Study from Jezre'el Valley, Northern Israel.
Eyal Ben-Dor, Naftaly Goldshleger, Eshel Mor, Vladmir Mirlas, and Uri Basson
PART III Diversity of Approaches to Modeling Soil Salinity and Salinization
Chapter 13 Mapping Salinity Hazard: An Integrated Application of Remote Sensing and Modeling-Based Techniques
Dhruba Pikha Shrestha and Abbas Farshad
Chapter 14 Stochastic Approaches for Space-Time Modeling and Interpolation
of Soil Salinity
Ahmed Douaik, Marc Van Meirvenne, and Tibor Toth
Chapter 15 Mapping Soil Salinity from Sample Data and Remote Sensing in the Former Lake Texcoco, Central Mexico
Norma Ferndndez Buces, Christina Siebe, Jose Luis Palacio Prieto, and Richard Webster
Chapter 16 Model-Based Integrated Methods for Quantitative Estimation of Soil Salinity from Hyperspectral Remote Sensing Data
Jamshid Farifteh
Chapter 17 Data Mining for Soil Salinity Modeling. Peter Eklund and Stephen D. Kirkby
ConclusionsNuméro de notice : 15505 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Recueil / ouvrage collectif Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=40710 Réservation
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Titre : Satellite Laser Ranging biases and terrestrial reference frame scale factor Type de document : Article/Communication Auteurs : David Coulot , Auteur ; Philippe Berio, Auteur ; Pascal Bonnefond, Auteur ; Pierre Exertier, Auteur ; D. Féraudy, Auteur ; Olivier Laurain, Auteur ; Florent Deleflie, Auteur
Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2009 Collection : International Association of Geodesy Symposia, ISSN 0939-9585 num. 133 Conférence : IAG 2007, International Association of Geodesy General Assembly Perugia Italie Proceedings Springer Importance : pp 39 - 46 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes de référence et réseaux
[Termes IGN] données TLS (télémétrie)
[Termes IGN] erreur systématique
[Termes IGN] facteur d'échelle
[Termes IGN] International Terrestrial Reference Frame
[Termes IGN] repère de référenceRésumé : (auteur) We examine the impact of the strategy adopted regarding range biases on Satellite Laser Ranging data processing results. More especially, we test the stability of the weekly Terrestrial Reference Frame scale factors computed w.r.t. ITRF2000 according to the two different strategies which are studied in this paper. In the first approach, range biases are not considered in the data processing. In the second approach, we use a temporal de-correlation method to rigorously estimate all station range biases. The first approach provides weekly scale factors with a piece-wise behavior. More precisely, the time series exhibit a drift of − 2.5 ± 0.2 mm/yr between 2001.0 and 2006.0 and provide a RMS of 5.2 mm. The second approach, which makes the most physical sense, really provides regular weekly scale factors. Indeed, between 2001.0 and 2006.0, these series exhibit a drift of − 0.7 ± 0.2 mm/yr and the RMS of the whole time series is 3.7 mm. Moreover, less discontinuities are detected in the station position residual time series provided by the second approach than in those produced with the first approach. Numéro de notice : C2009-029 Affiliation des auteurs : LAREG+Ext (1991-2011) Thématique : POSITIONNEMENT Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1007/978-3-540-85426-5_5 En ligne : https://doi.org/10.1007/978-3-540-85426-5_5 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90692 Sensitivity analysis of spatial models / Linda Lilburne in International journal of geographical information science IJGIS, vol 23 n° 1-2 (january 2009)
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Titre : Sensitivity analysis of spatial models Type de document : Article/Communication Auteurs : Linda Lilburne, Auteur ; S. Tarantola, Auteur Année de publication : 2009 Article en page(s) : pp 151 - 168 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse de sensibilité
[Termes IGN] analyse spatiale
[Termes IGN] contamination
[Termes IGN] eau souterraine
[Termes IGN] méthode de Monte-Carlo
[Termes IGN] nitrateRésumé : (Auteur) Sensitivity analysis is the study of how uncertainty in model predictions is determined by uncertainty in model inputs. A global sensitivity analysis considers the potential effects from the simultaneous variation of model inputs over their finite range of uncertainty. A number of techniques are available to carry out global sensitivity analysis from a set of Monte Carlo simulations; some techniques are more efficient than others, depending on the strategy used to sample the uncertainty of model inputs and on the formulae employed for estimating sensitivity measures. The most common approaches are summarised in this paper by focusing on the limitations of each in the context of a sensitivity analysis of a spatial model. A novel approach for undertaking a spatial sensitivity analysis (based on the method of Sobol' and its related improvements) is proposed and tested. This method makes no assumptions about the model and enables the analysis of spatially distributed, uncertain inputs. The proposed approach is illustrated with a simple test model and a groundwater contaminant model. Copyright Taylor & Francis Numéro de notice : A2009-131 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810802094995 En ligne : https://doi.org/10.1080/13658810802094995 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29761
in International journal of geographical information science IJGIS > vol 23 n° 1-2 (january 2009) . - pp 151 - 168[article]Réservation
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contenu dans ISPRS Workshop Laserscanning'09, Paris, France, September 1-2, 2009 / Frédéric Bretar (2009)
Titre : A stochastic approach for modelling airborne lidar waveforms Type de document : Article/Communication Auteurs : Clément Mallet , Auteur ; Florent Lafarge, Auteur ; Michel Roux, Auteur ; Uwe Soergel, Auteur ; et al., Auteur
Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2009 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-3/W8 Conférence : ISPRS 2009, Workshop LaserScanning 01/09/2009 02/09/2009 Paris France OA Archives proceedings Importance : pp 201 - 206 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement du signal
[Termes IGN] chaîne de Markov
[Termes IGN] données lidar
[Termes IGN] forme d'onde pleine
[Termes IGN] méthode de Monte-Carlo
[Termes IGN] milieu urbain
[Termes IGN] modèle stochastique
[Termes IGN] reconstruction du signal
[Termes IGN] signal laser
[Termes IGN] signal lidarRésumé : (Auteur) In contrast to conventional airborne multi-echo laser scanner systems, full-waveform (FW) lidar systems are able to record the entire emitted and backscattered signals of each laser pulse. Instead of clouds of individual 3D points, FW devices provide ID profiles of the 3D scene, which allows gaining additional and more detailed observations of the illuminated surfaces. Indeed, lidar waveforms are signals consisting of a train of echoes where each of them corresponds to a scattering target of the Earth surface or a group of close objects leading to superimposed signals. Modelling these echoes with the appropriate parametric function is necessary to retrieve physical information about these objects and characterize their properties. Henceforth, the extracted parameters can be useful for subsequent object segmentation and/or classification. This paper presents a stochastic based model to reconstruct lidar waveforms in terms of a set of parametric functions. The model takes into account both a data term which measures the coherence between the proposed configurations and the waveforms, and a regularizing term which introduces physical knowledge on the reconstructed signal. We search for the best configuration of functions by performing a Reversible Jump Markov Chain Monte Carlo sampler coupled with a stochastic relaxation. Finally, the algorithm is validated on waveforms from several airborne lidar sensors, showing the suitability of the approach even when the traditional assumption of Gaussian decomposition of waveforms is invalid. Numéro de notice : C2009-004 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE/POSITIONNEMENT Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/3-W8/papers/201_laserscanning09.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65044 Water vapour intercomparison effort in the frame of the Convective and Orographically‐ induced Precipitation Study / Rohini Bhawar (2009)
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Titre : Water vapour intercomparison effort in the frame of the Convective and Orographically‐ induced Precipitation Study Type de document : Article/Communication Auteurs : Rohini Bhawar, Auteur ; Paolo di Girolamo, Auteur ; Donato Summa, Auteur ; Cyrille Flamant, Auteur ; Dietrich Althausen, Auteur ; Andreas Behrendt, Auteur ; Alan Blyth, Auteur ; Olivier Bock , Auteur ; Pierre Bosser
, Auteur ; et al., Auteur
Editeur : AIP Publishing (American institute of physics) Année de publication : 2009 Collection : AIP conference proceedings Conférence : IRS 2008, International Radiation Symposium 03/08/2008 08/08/2008 Foz do Iguaçu Brésil Proceedings AIP Importance : pp 215 - 218 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] altitude
[Termes IGN] analyse comparative
[Termes IGN] erreur systématique
[Termes IGN] précipitation
[Termes IGN] vapeur d'eauRésumé : (auteur) The main objective of this work is to provide accurate error estimates for the different water vapour profiling sensors based on an intensive inter‐comparison effort. The inter‐comparison, performed in the framework of COPS—Convective and Orographically‐induced Precipitation Study (01 June–31 August 2007), involves airborne and ground‐based water vapour lidar systems, radiosondes with different humidity sensors, GPS and Microwave radiometers (MWR). Simultaneous and co‐located data from different sensors are used to compute relative bias and root‐mean square (RMS) deviations as a function of altitude. Numéro de notice : C2008-034 Affiliation des auteurs : LOEMI+Ext (1985-2011) Thématique : POSITIONNEMENT Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1063/1.3116952 Date de publication en ligne : 23/03/2009 En ligne : https://doi.org/10.1063/1.3116952 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102525 Assessing geometric reliability of corrected images from very high resolution satellites / M. Aguilar in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 12 (December 2008)
PermalinkDMC geometry analysis and virtual image characterisation / R. Alamus in Photogrammetric record, vol 23 n° 124 (December 2008 - February 2009)
PermalinkPermalinkThe impact of errors in polar motion and nutation on UT1 determinations from VLBI Intensive observations / Axel Nothnagel in Journal of geodesy, vol 82 n° 12 (December 2008)
PermalinkWater Modeler: a component of a coastal zone decision support system to generate flood-risk maps from storm surge events and sea-level rise / T.L. Webster in Geomatica, vol 62 n° 4 (December 2008)
PermalinkWest African Monsoon observed with ground-based GPS receivers during African Monsoon Multidisciplinary Analysis (AMMA) / Olivier Bock in Journal of geophysical research : Atmospheres, vol 113 n° D21 (16 November 2008)
PermalinkCorrection of humidity bias for Vaïsala RS80 sondes during AMMA 2006 Observing Period / Mathieu Nuret in Journal of Atmospheric and Oceanic Technology, vol 25 n° 11 (November 2008)
PermalinkFormulation of distortion error for the line-of-sight (LOS) vector adjustment model and its role in restitution of SPOT imagery / Hyung-Sup Jung in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 6 (November - December 2008)
PermalinkGeoreferencing locality descriptions and computing associated uncertainty using a probabilistic approach / Q. Guo in International journal of geographical information science IJGIS, vol 22 n° 10 (october 2008)
PermalinkModelling house unit density from land cover metrics: a Midwestern US example / P. Hardin in Geocarto international, vol 23 n° 5 (October - November 2008)
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