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TerraSAR-X dual-pol time-series for mapping of wetland vegetation / Julie Betbeder in ISPRS Journal of photogrammetry and remote sensing, vol 107 (September 2015)
[article]
Titre : TerraSAR-X dual-pol time-series for mapping of wetland vegetation Type de document : Article/Communication Auteurs : Julie Betbeder, Auteur ; Sébastien Rapinel, Auteur ; Samuel Corgne, Auteur ; Eric Pottier, Auteur ; Laurence Hubert-Moy, Auteur Année de publication : 2015 Article en page(s) : pp 90 - 98 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] 1:10.000
[Termes IGN] caractérisation
[Termes IGN] carte de la végétation
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] données multitemporelles
[Termes IGN] données polarimétriques
[Termes IGN] image radar moirée
[Termes IGN] image TerraSAR-X
[Termes IGN] série temporelle
[Termes IGN] zone humideRésumé : (auteur) Mapping vegetation formations at a fine scale is crucial for assessing wetland functions and for better landscape management. Identification and characterization of vegetation formations is generally conducted at a fine scale using ecological ground surveys, which are limited to small areas. While optical remotely sensed imagery is limited to cloud-free periods, SAR time-series are used more extensively for wetland mapping and characterization using the relationship between distribution of vegetation formations and flood duration. The aim of this study was to determine the optimal number and key dates of SAR images to be classified to map wetland vegetation formations at a 1:10,000 scale. A series of eight dual-polarization TerraSAR-X images (HH/VV) was acquired in 2013 during dry and wet seasons in temperate climate conditions. One polarimetric parameter was extracted first, the Shannon entropy, which varies with wetland flooding status and vegetation roughness. Classification runs of all the possible combinations of SAR images using different k (number of images) subsets were performed to determine the best combinations of the Shannon entropy images to identify wetland vegetation formations. The classification runs were performed using Support Vector Machine techniques and were then analyzed using the McNemar test to investigate significant differences in the accuracy of all classification runs based on the different image subsets. The results highlight the relevant periods (i.e. late winter, spring and beginning of summer) for mapping vegetation formations, in accordance with ecological studies. They also indicate that a relationship can be established between vegetation formations and hydrodynamic processes with a short time-series of satellite images (i.e. 5 dates). This study introduces a new approach for herbaceous wetland monitoring using SAR polarimetric imagery. This approach estimates the number and key dates required for wetland management (e.g. restoration) and biodiversity studies using remote sensing data. Numéro de notice : A2015-727 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2015.05.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2015.05.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78377
in ISPRS Journal of photogrammetry and remote sensing > vol 107 (September 2015) . - pp 90 - 98[article]Urbanization of the United States over two centuries: an approach based on a long-term database (1790–2010) / Anne Bretagnolle in International journal of geographical information science IJGIS, vol 29 n° 5 (May 2015)
[article]
Titre : Urbanization of the United States over two centuries: an approach based on a long-term database (1790–2010) Type de document : Article/Communication Auteurs : Anne Bretagnolle, Auteur ; François Delisle, Auteur ; Hélène Mathian, Auteur Année de publication : 2015 Article en page(s) : pp 850 - 867 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse comparative
[Termes IGN] analyse diachronique
[Termes IGN] base de données urbaines
[Termes IGN] cohérence des données
[Termes IGN] croissance urbaine
[Termes IGN] données multitemporelles
[Termes IGN] Etats-Unis
[Termes IGN] zone urbaineRésumé : (Auteur) This paper presents an original methodology for the construction of a harmonized database for urban areas in the United States from 1790 to 2010 (a period with a census every 10 years, amounting to 23 dates). Upstream, this method is based on a theoretical choice, the use of a spatio-temporal reference frame to construct urban areas over the long term, defined by a maximum range of one hour’s travel for each period. We used an automatic aggregation from a Reilly model. Urban measures (growth, concentration) derived from this harmonized database are then presented, providing a unified picture of urbanization in the United States over more than two centuries. They are compared with results derived from more classical databases established using the official figures from the Census Bureau, or from other constructions differing from the present system. The results diverge considerably in some instances, which confirms the impact of the method of delineation of geographical areas in measures of growth. Numéro de notice : A2015-595 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2014.999681 En ligne : https://doi.org/10.1080/13658816.2014.999681 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77886
in International journal of geographical information science IJGIS > vol 29 n° 5 (May 2015) . - pp 850 - 867[article]Vegetation Burn Severity Mapping Using Landsat-8 and WorldView-2 / Zhuoting Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 2 (February 2015)
[article]
Titre : Vegetation Burn Severity Mapping Using Landsat-8 and WorldView-2 Type de document : Article/Communication Auteurs : Zhuoting Wu, Auteur ; Barry Middleton, Auteur ; Robert Hetzler, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 143 - 154 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Arizona (Etats-Unis)
[Termes IGN] canopée
[Termes IGN] carte thématique
[Termes IGN] dommage matériel
[Termes IGN] données multitemporelles
[Termes IGN] image Landsat-8
[Termes IGN] image Worldview
[Termes IGN] incendie de forêt
[Termes IGN] ressources forestièresRésumé : (auteur) We used remotely sensed data from the Landsat-8 and WorldView-2 satellites to estimate vegetation burn severity of the Creek Fire on the San Carlos Apache Reservation, where wildfire occurrences affect the Tribe’s crucial livestock and logging industries. Accurate pre- and post-fire canopy maps at high (0.5-meter) resolution were created from WorldView-2 data to generate canopy loss maps, and multiple indices from pre- and post-fire Landsat-8 images were used to evaluate vegetation burn severity. Normalized difference vegetation index based vegetation burn severity map had the highest correlation coefficients with canopy loss map from WorldView-2. Two distinct approaches - canopy loss mapping from WorldView-2 and spectral index differencing from Landsat-8 - agreed well with the field-based burn severity estimates and are both effective for vegetation burn severity mapping. Canopy loss maps created with WorldView-2 imagery add to a short list of accurate vegetation burn severity mapping techniques that can help guide effective management of forest resources on the San Carlos Apache Reservation, and the broader fire-prone regions of the Southwest. Numéro de notice : A2015-968 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.81.2.143 En ligne : https://doi.org/10.14358/PERS.81.2.143 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80026
in Photogrammetric Engineering & Remote Sensing, PERS > vol 81 n° 2 (February 2015) . - pp 143 - 154[article]Classification and change detection in multi - epoch airborne laser scanning point clouds / Sudan Xu (2015)
Titre : Classification and change detection in multi - epoch airborne laser scanning point clouds Type de document : Thèse/HDR Auteurs : Sudan Xu, Auteur Editeur : Enschede [Pays Bas] : University of Twente Année de publication : 2015 Collection : ITC Dissertation num. 266 Importance : 121 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-90-365-3835-0 Note générale : bibliographie
Enschede, University of Twente, Faculty of Geo-Information and Earth Observation (ITC)Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] détection de changement
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] données multitemporelles
[Termes IGN] semis de pointsRésumé : (auteur) Detailed change detection in buildings using airborne laser scanning data (ALS data) has become possible with the availability of multi-temporal ALS data sets. In this thesis we present a methodology for building change detection in urban scenes, which is composed of two main parts: the classification of point clouds of an urban scene and the detection of changes in buildings. A classification methodology is put forward to solve the problem of how to detect buildings in point clouds and how to distinguish the building roofs, building roof elements, and building walls. The change detection methodology is not only used to detect changes but also aims to interpret the type of change that occurred to a building. The two methodologies are suitable for application to raw ALS laser points. They do not require the ALS data to be organised in Digital Surface Models.
The thesis consists of seven chapters. Chapter 1 gives the motivation of this research and an introduction to the background of the two main topics mentioned above. Research problems and questions are raised, and goals and objectives are defined on the two topics. Furthermore, the limits of the research scope of this thesis are set. Chapter 2 introduces the study area used in this thesis, the available data, including the data quality and the data organization, and some pre-processing steps of the data.
Chapter 3 describes the methodology of the classification, explaining the entities, features, classifiers and the classification strategy. We introduce a classification procedure that combines classifications of three different entities: points, planar segments, and segments obtained by mean-shift segmentation. Seven types of objects, namely, water, ground, vegetation, roof, roof element, wall and undefined object, are distinguished based on feature values of the entities. Some features were already defined in literature. Other features are defined by us. Five commonly used classifiers (rule based classification, Random Tree, AdaBoost, SVM, and ANN) are tested. The rule-based method provides over 99% accuracy for the ground and roof classes, and a minimum accuracy of 90% for the water, vegetation, wall and undefined object classes, resulting in an overall accuracy of 97%. The accuracy of the roof element class is only 70% with the rule-based method, or even lower with other classifiers. All experimental results for the classification methodology are presented and discussed in chapter 4. These results include the evaluation of the classification accuracy, comparisons between different classifiers and comparisons between different features derived from the different entities.
Chapter 5 explains the methodology of the change detection comprising a point-based change detection method and an object-based change analysis. The detection process starts with two data sets that are classified using the classification methodology in chapter 3. Next, a point-to-plane surface difference map is generated by merging the two data sets to be compared. By applying rules to the surface difference map the change status of points is set to "changed", "unchanged", or "unknown". Rules are defined to solve the problems caused by the lack of data. "Unknown" are locations where due to lack of data in at least one of the epochs it is not possible to reliably detect changes in the structure. Points on buildings labelled as "changed" are re-classified into changes related to roofs, walls, dormers, cars, constructions above roofs and undefined objects in a second classification step. Next, all the classified changes are grouped to changed building objects. Geometric descriptions of the changed building objects, such as the location of the centre point of the change objects, the height, area and volume of the change objects, are derived from their minimum 3D bounding boxes. Performance analysis showed that 80% - 90 % of the real changes are found, of which approximately 50% are considered relevant. The results of the change detection and analysis and their accuracy are discussed in chapter 6.
Finally, chapter 7 draws the main conclusions from the test results obtained with the classification and the change detection methodology. Limitations of our methodologies are summarized and potential solutions to these limitations are suggested.Note de contenu : 1- Introduction
2- Data sets
3- Methodology for the scene classification
4- Evaluation of the scene classification
5- Methodology for the change detection
6- Evaluation of the change detection
7- Conclusion ans perspectivesNuméro de notice : 14922 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère Note de thèse : PhD : Geo-Information and Earth Observation : University of Twente : 2015 En ligne : http://www.itc.nl/Pub/Home/library/Academic_output/AcademicOutput.html?l=16&y=15 Format de la ressource électronique : URL sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77056 Documents numériques
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Titre : Multi-temporal optical VHR image fusion for land-cover mapping Type de document : Article/Communication Auteurs : Mathias Paget , Auteur ; Adrien Gressin , Auteur ; Clément Mallet , Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2015 Conférence : IGARSS 2015, International Geoscience And Remote Sensing Symposium 26/07/2015 31/07/2015 Milan Italie Proceedings IEEE Importance : pp 1913 - 1916 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] données multitemporelles
[Termes IGN] fusion d'images
[Termes IGN] image à très haute résolution
[Termes IGN] image optiqueRésumé : (auteur) Land-Cover databases (LC-DB) are very useful for environmental purposes, but need to be semantically detailed to provide robust and instructive spatial indicators. Moreover, remote sensed data allow to cover large areas with high temporal resolution. Such multi-temporal data are very useful input to discriminate LC classes. Nevertheless, automatic fusion method need to be developed to provide high quality LC-DB. In this paper, several fusion methods are proposed and introduced in an existing Land-Cover mapping framework. Those fusion methods allow to take advantage of multi-temporal data. Those methods are compared, and assessed thanks to a very high resolution LC-DB. Numéro de notice : C2015-019 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/IGARSS.2015.7326168 Date de publication en ligne : 12/11/2015 En ligne : http://dx.doi.org/10.1109/IGARSS.2015.7326168 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83259 Documents numériques
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