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Remote sensing of soil salinization / G. Metternicht (2009)
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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Code-barres Cote Support Localisation Section Disponibilité 15505-01 35.44 Livre Centre de documentation Télédétection Disponible Neuro-fuzzy based analysis of hyperspectral imagery / F. Qiu in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 10 (October 2008)
[article]
Titre : Neuro-fuzzy based analysis of hyperspectral imagery Type de document : Article/Communication Auteurs : F. Qiu, Auteur Année de publication : 2008 Article en page(s) : pp 1235 - 1247 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Chine
[Termes IGN] classification floue
[Termes IGN] classification hybride
[Termes IGN] classification par réseau neuronal
[Termes IGN] découverte de connaissances
[Termes IGN] image EO1-Hyperion
[Termes IGN] image hyperspectraleRésumé : (Auteur) A neuro-fuzzy system, namely Gaussian Fuzzy Learning Vector Quantization (GFLVQ), was developed based on the synergy of a neural network and a fuzzy system. GFLVQ is both a fuzzy neural network and a neural fuzzy system with supervised learning and unsupervised self-organizing capabilities. In this paper, GFLVQ was further improved to efficiently and effectively process hyperspectral data through training data informed initialization and a simplified fuzzy learning algorithm. A geovisualization tool was developed to facilitate knowledge discovery and understanding of the hyperspectral image. A case study was conducted using a Hyperion image. The results obtained from the improved neuro-fuzzy system were found to be significantly better than those from conventional statistics-based and endmember-based classifiers. The fuzzy spectral profiles produced from the geovisualization tool provided an extra insight into the neuro-fuzzy learning process, further opening up the black box of the neural network. Copyright ASPRS Numéro de notice : A2008-375 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.10.1235 En ligne : https://doi.org/10.14358/PERS.74.10.1235 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29368
in Photogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 10 (October 2008) . - pp 1235 - 1247[article]vol 46 n° 10 Tome 1 - October 2008 - Special issue on the 2007 International Geoscience and Remote Sensing Symposium (IGARSS'07): sensing and understanding our planet, [actes], Barcelona, July 23-27, 2007. Part 1 of two parts (Bulletin de IEEE Transactions on geoscience and remote sensing) / A. Camps
[n° ou bulletin]
est un bulletin de IEEE Transactions on geoscience and remote sensing / IEEE Geoscience and remote sensing society (Etats-Unis) (1986 -)
Titre : vol 46 n° 10 Tome 1 - October 2008 - Special issue on the 2007 International Geoscience and Remote Sensing Symposium (IGARSS'07): sensing and understanding our planet, [actes], Barcelona, July 23-27, 2007. Part 1 of two parts Type de document : Périodique Auteurs : A. Camps, Éditeur scientifique ; Jordi J. Mallorquí, Éditeur scientifique Année de publication : 2008 Conférence : IGARSS 2007, International Geoscience And Remote Sensing Symposium, sensing and understanding our planet 23/07/2007 27/07/2007 Barcelone Espagne Proceedings IEEE Importance : 250 p. Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Télédétection
[Termes IGN] classification
[Termes IGN] image hyperspectrale
[Termes IGN] image multibande
[Termes IGN] image radar
[Termes IGN] surveillance hydrologique
[Termes IGN] télédétection spatiale
[Termes IGN] traitement d'imageNuméro de notice : 065-0810A Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Numéro de périodique En ligne : http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=4637826 Format de la ressource électronique : URL sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=9539 [n° ou bulletin]ContientRéservation
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Code-barres Cote Support Localisation Section Disponibilité 065-08101A RAB Revue Centre de documentation En réserve L003 Disponible vol 46 n° 10 Tome 2 - October 2008 - Special issue on the 2007 International Geoscience and Remote Sensing Symposium (IGARSS'07): sensing and understanding our planet, [actes], Barcelona, July 23-27, 2007. Part 2 of two parts (Bulletin de IEEE Transactions on geoscience and remote sensing) / A. Camps
[n° ou bulletin]
est un bulletin de IEEE Transactions on geoscience and remote sensing / IEEE Geoscience and remote sensing society (Etats-Unis) (1986 -)
Titre : vol 46 n° 10 Tome 2 - October 2008 - Special issue on the 2007 International Geoscience and Remote Sensing Symposium (IGARSS'07): sensing and understanding our planet, [actes], Barcelona, July 23-27, 2007. Part 2 of two parts Type de document : Périodique Auteurs : A. Camps, Éditeur scientifique ; Jordi J. Mallorquí, Éditeur scientifique Année de publication : 2008 Conférence : IGARSS 2007, International Geoscience And Remote Sensing Symposium, sensing and understanding our planet 23/07/2007 27/07/2007 Barcelone Espagne Proceedings IEEE Importance : 250 p. Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Télédétection
[Termes IGN] classification
[Termes IGN] image hyperspectrale
[Termes IGN] image multibande
[Termes IGN] image radar
[Termes IGN] surveillance hydrologique
[Termes IGN] télédétection spatiale
[Termes IGN] traitement d'imageNuméro de notice : 065-0810B Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Numéro de périodique En ligne : https://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=4637921 Format de la ressource électronique : URL sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=9540 [n° ou bulletin]Contient
- Prediction, detection and correction of Faraday: rotation in full-polarimetric L-Band SAR data / F.J. Meyer in IEEE Transactions on geoscience and remote sensing, vol 46 n° 10 Tome 2 (October 2008)
- The compact polarimetry alternative for spaceborne SAR at low frequency / P. Dubois-Fernandez in IEEE Transactions on geoscience and remote sensing, vol 46 n° 10 Tome 2 (October 2008)
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Code-barres Cote Support Localisation Section Disponibilité 065-08101B RAB Revue Centre de documentation En réserve L003 Disponible Potential accuracy of image orientation of small satellites: a case study of CHRIS/Proba data / Ahmed Shaker in Photogrammetric record, vol 23 n° 123 (September - November 2008)
[article]
Titre : Potential accuracy of image orientation of small satellites: a case study of CHRIS/Proba data Type de document : Article/Communication Auteurs : Ahmed Shaker, Auteur ; J. Nichol, Auteur ; M. Wong, Auteur Année de publication : 2008 Conférence : ISPRS 2007, High-Resolution Earth Imaging for Geospatial Information workshop 29/05/2007 01/06/2007 Hanovre Allemagne Proceedings IEEE Article en page(s) : pp 275 - 289 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie spatiale
[Termes IGN] angle de visée
[Termes IGN] correction géométrique
[Termes IGN] espace image
[Termes IGN] espace objet
[Termes IGN] géoréférencement
[Termes IGN] Hong-Kong
[Termes IGN] image hyperspectrale
[Termes IGN] image PROBA-CHRIS
[Termes IGN] minisatellite
[Termes IGN] modèle empirique
[Termes IGN] modèle stéréoscopique
[Termes IGN] montagne
[Termes IGN] orientation d'image
[Termes IGN] point d'appui
[Termes IGN] précision géométrique (imagerie)Résumé : (Auteur) The new technology of small satellites (microsatellites) opens a new era in satellite observation of the earth. Small satellites such as ESA's Project for On-Board Autonomy (Proba), launched on 22nd October 2001, are of interest due to their low cost, flexibility of positioning, and capability for multiangular scanning in both across-track and along-track directions. Proba's Compact High Resolution Imaging Spectrometer (CHRIS) provides multidirectional, as well as hyperspectral, data at 18 m resolution and is supplied mainly to the scientific community for experimental environmental applications. This research evaluates the use of various empirical mathematical models for small satellite orientation and terrain modelling using the multidirectional viewing capabilities of CHRIS data. Geometric correction and co-registration of multiangle images is essential for their use for data extraction. Ideally, rigorous mathematical models should be formulated which precisely describe the satellite motion and represent the relationship between the image and the object spaces. The use of rigorous mathematical models has not been fully investigated using CHRIS/Proba data, because the satellite information provided is not adequate for rigorous sensor modelling. In this paper, several alternative empirical models are tested for the orientation and 3D geopositioning of CHRIS sensor images. The images used in this study cover extremely mountainous terrain in central Hong Kong. A set of five images from CHRIS/Proba taken in December 2005 from different angles are used to test the applicability of different forms of the empirical models for 3D geopositioning. The accuracy of the models is tested for different numbers and distribution of ground control points (GCPs) using different combinations of observation angles and base-to-height ratios. The results obtained show high integrity of the models used for CHRIS/Proba image orientation. In some cases, accuracy better than 2 pixels can be achieved using a modest number of GCPs. Copyright RS&PS + Blackwell Publishing Numéro de notice : A2008-393 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2008.00490.x En ligne : https://doi.org/10.1111/j.1477-9730.2008.00490.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29386
in Photogrammetric record > vol 23 n° 123 (September - November 2008) . - pp 275 - 289[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-08031 RAB Revue Centre de documentation En réserve L003 Disponible Integration of Hyperion satellite data and a household social survey to caracterize the causes and consequences of reforestation patterns in the Northern Ecuadorian Amazon / S.J. Walsh in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 6 (June 2008)PermalinkUnsupervised Image Segmentation based on Texems for Hyperspectral data / Adolfo Martinez-Uso (2008)PermalinkDetermination of robust spectral features for identification of urban surface materials in hyperspectral remote sensing data / U. Heiden in Remote sensing of environment, vol 111 n° 4 (28/12/2007)PermalinkApplications de l'imagerie hyperspectrale à l'étude des planètes du système solaire : le cas de Mars et de Titan / S. Le Mouelic in Photo interprétation, vol 43 n° 4 (Décembre 2007)PermalinkBorder vector detection and adaptation for classification of multispectral and hyperspectral remote sensing images / N.G. Kasapoglu in IEEE Transactions on geoscience and remote sensing, vol 45 n° 12 Tome 1 (December 2007)PermalinkN-FindR method versus independent component analysis for lithological identification in hyperspectral imagery / C. Gomez in International Journal of Remote Sensing IJRS, vol 28 n°23-24 (December 2007)PermalinkA time-efficient method for anomaly detection in hyperspectral images / O. Duran in IEEE Transactions on geoscience and remote sensing, vol 45 n° 12 Tome 1 (December 2007)PermalinkCharacterizing patterns of plant distribution in a southern California salt marsh using remotely sensed topographic and hyperspectral data and local tidal fluctuations / S. Sadro in Remote sensing of environment, vol 110 n° 2 (28/09/2007)PermalinkDerniers développements en télédétection hyperspectrale / V. Carrere in Photo interprétation, vol 43 n° 3 (Septembre 2007)PermalinkFeature extraction of hyperspectral images using wavelet and matching pursuit / Pai-Hui Hsu in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 2 (June 2007)Permalink