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Auteur Mehrez Zribi |
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Ajouter le résultat dans votre panier Affiner la recherche Interroger des sources externesComparative analysis of the accuracy of surface soil moisture estimation from the C- and L-bands / Mohammad El Hajj in International journal of applied Earth observation and geoinformation, vol 82 (October 2019)
Titre : Comparative analysis of the accuracy of surface soil moisture estimation from the C- and L-bands Type de document : Article/Communication Auteurs : Mohammad El Hajj, Auteur ; Nicolas Baghdadi, Auteur ; Mehrez Zribi, Auteur Année de publication : 2019 Article en page(s) : 13 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes descripteurs IGN] analyse comparative
[Termes descripteurs IGN] bande C
[Termes descripteurs IGN] bande L
[Termes descripteurs IGN] humidité du sol
[Termes descripteurs IGN] image ALOS-PALSAR
[Termes descripteurs IGN] image radar moirée
[Termes descripteurs IGN] image Sentinel-MSI
[Termes descripteurs IGN] image Sentinel-SAR
[Termes descripteurs IGN] Normalized Difference Vegetation Index
[Termes descripteurs IGN] réseau neuronal artificiel
[Termes descripteurs IGN] surface cultivéeRésumé : (auteur) Surface soil moisture (SSM) estimation is of great importance in several areas, such as hydrology, agriculture and risk assessment. C-band SAR (synthetic aperture radar) data have been widely used to estimate SSM, whereas few studies have been performed using L-band SAR due to the low availability of L-band SAR data. In this context, the objective of the present paper is to compare the SSM estimation potentials of the C- (Sentinel-1) and L-bands (PALSAR) for wheat and grassland plots. The inversion approach developed in this study uses neural networks to invert the SAR signal and estimate the SSM. For each radar frequency, the developed neural networks were trained using the following as an input vector: SAR incidence angle, SAR polarization (VV for the C-band and HH for the L-band), and NDVI from optical images. Artificial Neural networks (ANNs) were developed and validated using synthetic and real databases. The results showed that the L-band provided slightly less accurate SSM estimates than the C-band. Moreover, the results showed that the accuracies of the SSM estimates for both frequencies strongly depended on the soil roughness (Hrms) and SSM values. From the synthetic database at SSM values less than 25 vol.%, the ANNs underestimated the SSM for Hrms values less than 1.5 cm and overestimated the SSM for Hrms values greater than 1.5 cm. In addition, the ANNs underestimated the SSM value regardless of the Hrms value when the SSM value was greater than 25 vol.%. An RMSE analysis of the SSM estimates showed that the highest RMSE values were observed for the L-band regardless of the SSM value, and high RMSE values were observed for the C-band only in very wet soil conditions (SSM>25 vol.%). From the real database at NDVI values less than 0.7, the RMSE (root mean square error) of the SSM estimates was 4.6 vol.% for the C-band and 5.3 vol.% for the L-band. Most importantly, the L-band enabled the estimation of the SSM under a well-developed vegetation cover (NDVI > 0.7) with an RMSE of 6.7 vol.%, whereas the C-band SAR signal became completely attenuated for some crops when the NDVI value was greater than 0.7, and thus the estimation of SSM was impossible using the C-band. Numéro de notice : A2019-473 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern date de publication en ligne : 29/06/2019 En ligne : https://doi.org/10.1016/j.jag.2019.05.021 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93634
in International journal of applied Earth observation and geoinformation > vol 82 (October 2019) . - 13 p.[article]
Titre de série : QGIS in Remote Sensing, Volume 1 Titre : QGIS and generic tools Type de document : Monographie Auteurs : Nicolas Baghdadi, Editeur scientifique ; Clément Mallet Editeur : Londres : ISTE Editions Année de publication : 2018 Importance : 316 p. Format : 16 x 24 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes descripteurs IGN] application web
[Termes descripteurs IGN] Geospatial data abstraction library
[Termes descripteurs IGN] GRASS
[Termes descripteurs IGN] QGISIndex. décimale : 37.35 Logiciels SIG Résumé : (éditeur) Numéro de notice : 17565A Thématique : GEOMATIQUE Nature : Recueil / ouvrage collectif nature-HAL : DirectOuvrColl/Actes DOI : 10.1002/9781119457091 date de publication en ligne : 19/01/2018 En ligne : http://dx.doi.org/10.1002/9781119457091 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91953
- QGIS in Remote Sensing, Volume 2. QGIS and applications in agriculture and forest / Nicolas Baghdadi (2018)
- QGIS in Remote Sensing, Volume 3. QGIS and Applications in Territorial Planning / Nicolas Baghdadi (2018)
- QGIS in Remote Sensing, Volume 4. QGIS and Applications in Water and Risks / Nicolas Baghdadi (2018)
- Utilisation de QGIS en télédétection, Volume 1. QGIS et outils génériques / Nicolas Baghdadi (2018)
QGIS in Remote Sensing, Volume 2. QGIS and applications in agriculture and forest / Nicolas Baghdadi (2018)
Titre de série : QGIS in Remote Sensing, Volume 2 Titre : QGIS and applications in agriculture and forest Type de document : Monographie Auteurs : Nicolas Baghdadi, Editeur scientifique ; Clément Mallet Editeur : Londres : ISTE Editions Année de publication : 2018 Importance : 374 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-1-119-45710-7 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes descripteurs IGN] cartographie thématique
[Termes descripteurs IGN] classification dirigée
[Termes descripteurs IGN] image optique
[Termes descripteurs IGN] image Sentinel-MSI
[Termes descripteurs IGN] image Sentinel-SAR
[Termes descripteurs IGN] QGIS
[Termes descripteurs IGN] télédétection spatialeIndex. décimale : 37.35 Logiciels SIG Résumé : (Editeur) The QGIS in Remote Sensing Set aims to facilitate the appropriation and operational use of the Quantum Geographic Information System (QGIS) software in the field of remote sensing. This second volume of the set presents different applications of QGIS and its libraries for agriculture and forestry. A thorough knowledge of agriculture and forest areas is fundamental from both an economic and an environmental point of view. These environments are strongly involved in the use of spatial data, which are essential for restoring the spatio-temporal variability of surface conditions. In this context, GIS tools have long been used to support the exploitation of spatial imagery. This work is carried out by scientists who are proficient to a high level of technicality. The book is targeted at students (Masters, engineering students, PhDs), engineers and researchers who have already adopted geographic information systems. In addition to the text, readers will have access to data and tools allowing the integral realization of the scientific procedures described in each chapter, as well as screenshots of all the windows which illustrate the manipulations necessary for the realization of each application. Note de contenu : 1. Coupling Radar and Optical Data for Soil Moisture Retrieval over Agricultural Areas / Mohammad El Hajj, Nicolas Baghdadi, Mehrez Zribi and Hassan Bazzi.
2. Disaggregation of Thermal Images / Mar Bisquert and Juan Manuel Sánchez.
3. Automatic Extraction of Agricultural Parcels from Remote Sensing Images and the RPG Database with QGIS/OTB / Jean-Marc Gilliot, Camille Le Priol, Emmanuelle Vaudour and Philippe Martin.
4. Land Cover Mapping Using Sentinel-2 Images and the Semi-Automatic Classification Plugin: A Northern Burkina Faso Case Study / Louise Leroux, Luca Congedo, Beatriz Bellón, Raffaele Gaetano and Agnès Bégué.
5. Detection and Mapping of Clear-Cuts with Optical Satellite Images / Kenji Ose.
6. Vegetation Cartography from Sentinel-1 Radar Images / Pierre-Louis Frison and Cédric Lardeux.
7. Remote Sensing of Distinctive Vegetation in Guiana Amazonian Park / Nicolas Karasiak and Pauline Perbet.
8. Physiognomic Map of Natural Vegetation / Samuel Alleaume and Sylvio Laventure.
9. Object-Based Classification for Mountainous Vegetation Physiognomy Mapping / Vincent Thierion and Marc Lang.Numéro de notice : 17567B Thématique : FORET/GEOMATIQUE/IMAGERIE Nature : Recueil / ouvrage collectif nature-HAL : DirectOuvrColl/Actes DOI : 10.1002/9781119457107 date de publication en ligne : 19/01/2018 En ligne : http://dx.doi.org/10.1002/9781119457107 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91932
- Utilisation de QGIS en télédétection, Volume 2. QGIS et applications en agriculture et forêt / Nicolas Baghdadi (2018)
- QGIS in Remote Sensing, Volume 4. QGIS and Applications in Water and Risks / Nicolas Baghdadi (2018)
- QGIS in Remote Sensing, Volume 3. QGIS and Applications in Territorial Planning / Nicolas Baghdadi (2018)
- QGIS in Remote Sensing, Volume 1. QGIS and generic tools / Nicolas Baghdadi (2018)
Titre de série : QGIS in Remote Sensing, Volume 3 Titre : QGIS and Applications in Territorial Planning Type de document : Monographie Auteurs : Nicolas Baghdadi, Editeur scientifique ; Clément Mallet Editeur : Londres : ISTE Editions Année de publication : 2018 Importance : 306 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-1-119-45712-1 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes descripteurs IGN] aménagement du littoral
[Termes descripteurs IGN] aménagement du territoire
[Termes descripteurs IGN] climat urbain
[Termes descripteurs IGN] morphologie urbaine
[Termes descripteurs IGN] QGIS
[Termes descripteurs IGN] service écosystémique
[Termes descripteurs IGN] urbanismeIndex. décimale : 37.40 Applications SIG Résumé : (Editeur) The QGIS in Remote Sensing Set aims to facilitate the appropriation and operational use of the Quantum Geographic Information System (QGIS) software in the field of remote sensing. Over the past 15 years, Geographic Information Systems have become central to applications dealing with territorial planning issues. This third volume of the set is devoted to the presentation and practice in QGIS and its libraries of various applications related to territorial planning. The chapters illustrate the great diversity of case studies, spatial scales and actors involved in this issue: from the world to the city and from objects of special interest, from detection of objects, to studies of location or the impact of works through spatial indicators, urban, agro-forestry or coastal environments. This work is carried out by scientists who are proficient to a high level of technicality. The book is targeted at students (Masters, engineering students, PhDs), engineers and researchers who have already adopted geographic information systems. In addition to the text, readers will have access to data and tools allowing the integral realization of the scientific procedures described in each chapter, as well as screenshots of all the windows which illustrate the manipulations necessary for the realization of each application. Note de contenu : 1. Design and Implementation of Automated Atlas / Boris Mericskay.
2. Estimation of Land Use Efficiency from the Global Human Settlement Layer (GHSL) / Christina Corbane, Panagiotis Politis, Martino Pesaresi, Thomas Kemper and Alice Siragusa.
3. Characterizing Urban Morphology for Urban Climate Simulation Based on a GIS Approach / Justin Emery, Julita Dudek, Ludovic Granjon, Benjamin Pohl, Yves Richard, Thomas Thevenin and Nadège Martiny.
4. Airborne Optical Remote Sensing Potential for Pool Mapping in an Urban Environment / Josselin Aval and Thierry Erudel.
5. Automation of Workflows for the Installation of a Wind Farm / Boris Mericskay.
6. Ecosystemic Services Assessment: Applicationbto Forests for the Preservation of Water Resources in Tropical Islands / Rémi Andreoli and Brice Van Haaren.
7. Assessing the Influence of Landscape on Biodiversity Using the QGIS Plugin LecoS / Sylvie Ladet, David Sheeren, Pierre-Alexis Herrault and Mathieu Fauvel.Numéro de notice : 17567C Thématique : GEOMATIQUE/IMAGERIE/URBANISME Nature : Recueil / ouvrage collectif nature-HAL : DirectOuvrColl/Actes DOI : 10.1002/9781119457121 date de publication en ligne : 16/02/2018 En ligne : http://dx.doi.org/10.1002/9781119457121 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91933
- QGIS in Remote Sensing, Volume 2. QGIS and applications in agriculture and forest / Nicolas Baghdadi (2018)
- QGIS in Remote Sensing, Volume 4. QGIS and Applications in Water and Risks / Nicolas Baghdadi (2018)
- QGIS in Remote Sensing, Volume 1. QGIS and generic tools / Nicolas Baghdadi (2018)
- Utilisation de QGIS en télédétection, Volume 3. QGIS et applications en aménagement du territoire / Nicolas Baghdadi (2018)
Titre de série : QGIS in Remote Sensing, Volume 4 Titre : QGIS and Applications in Water and Risks Type de document : Monographie Auteurs : Nicolas Baghdadi, Editeur scientifique ; Clément Mallet Editeur : Londres : ISTE Editions Année de publication : 2018 Importance : 320 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-1-119-47672-6 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes descripteurs IGN] action anthropique
[Termes descripteurs IGN] aléa
[Termes descripteurs IGN] carte bathymétrique
[Termes descripteurs IGN] cartographie thématique
[Termes descripteurs IGN] données bathymétriques
[Termes descripteurs IGN] érosion hydrique
[Termes descripteurs IGN] image multibande
[Termes descripteurs IGN] modèle numérique bathymétrique
[Termes descripteurs IGN] modèle numérique de terrain
[Termes descripteurs IGN] QGIS
[Termes descripteurs IGN] ressources en eau
[Termes descripteurs IGN] risque naturel
[Termes descripteurs IGN] télédétection spatiale
[Termes descripteurs IGN] traitement d'imageIndex. décimale : 37.40 Applications SIG Résumé : (Editeur) The QGIS in Remote Sensing Set aims to facilitate the appropriation and operational use of the Quantum Geographic Information System (QGIS) software in the field of remote sensing. This fourth volume of the set is dedicated to the presentation and the practice of QGIS and its libraries of applications dealing with water and risk management issues. In the context of global changes (climatic and anthropogenic), understanding and quantifying water resource dynamics and the various aspects of risks is essential for managers in public authorities and local population. This work is carried out by scientists who are proficient to a high level of technicality. The book is targeted at students (Masters, engineering students, PhDs), engineers involved in the management of water resources and territory, and research teams in geomatics. In addition to the text, readers will have access to data and tools allowing the integral realization of the scientific procedures described in each chapter, as well as screenshots of all the windows which illustrate the manipulations necessary for the realization of each application. Note de contenu : 1. Monitoring Coastal Bathymetry Using Multispectral Satellite Images at High Spatial Resolution /
Bertrand Lubac.
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, Zohra Lili-Chabaane, Benoit Deffontaines, Mohammad El Hajj and Nicolas Baghdadi.
3. Reservoir Hydrological Monitoring by Satellite Image Analysis / Paul Passy and Adrien Selles.
4. Network Analysis and Routing with QGIS / Hervé Pella and Kenji Ose.
5. Representation of the Drainage Network in Urban and Peri-urban Areas Using a 2D Polygonal Mesh Composed of Pseudo-convex Elements / Pedro Sanzana, Sergio Villaroel, Isabelle Braud, Nancy Hitschfeld, Jorge Gironas, Flora Branger, Fabrice Rodriguez, Ximena Vargas and Tomas Gomez.
6. Mapping of Drought / Mohammad El Hajj, Mehrez Zribi, Nicolas Baghdadi and Michel Le Page.
7. A Spatial Sampling Design Based on Landscape Metrics for Pest Regulation: The Millet Head Miner Case Study in the Bambey Area, Senegal / Valérie Soti.
8. Modeling Erosion Risk Using the RUSLE Equation / Rémi Andreoli.Numéro de notice : 17567D Thématique : GEOMATIQUE/IMAGERIE Nature : Recueil / ouvrage collectif nature-HAL : DirectOuvrColl/Actes DOI : 10.1002/9781119476726 date de publication en ligne : 16/02/2018 En ligne : http://dx.doi.org/10.1002/9781119476726 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91931
- Utilisation de QGIS en télédétection, Volume 4. QGIS et applications en eau et risques / Nicolas Baghdadi (2018)
- QGIS in Remote Sensing, Volume 2. QGIS and applications in agriculture and forest / Nicolas Baghdadi (2018)
- QGIS in Remote Sensing, Volume 3. QGIS and Applications in Territorial Planning / Nicolas Baghdadi (2018)
- QGIS in Remote Sensing, Volume 1. QGIS and generic tools / Nicolas Baghdadi (2018)
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