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Carbon mass fluxes of forests in Belgium determined with low resolution optical sensors / F. Veroustraete in International Journal of Remote Sensing IJRS, vol 25 n° 4 (February 2004)
[article]
Titre : Carbon mass fluxes of forests in Belgium determined with low resolution optical sensors Type de document : Article/Communication Auteurs : F. Veroustraete, Auteur ; H. Sabbe, Auteur ; D.P. Rasse, Auteur ; L. Bertels, Auteur Année de publication : 2004 Article en page(s) : pp 769 - 792 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Belgique
[Termes IGN] bilan du carbone
[Termes IGN] classificateur paramétrique
[Termes IGN] corrélation
[Termes IGN] covariance
[Termes IGN] écosystème forestier
[Termes IGN] forêt
[Termes IGN] image NOAA-AVHRR
[Termes IGN] image optique
[Termes IGN] image SPOT-Végétation
[Termes IGN] turbulenceRésumé : (Auteur) The primary objective of this paper is to describe the validation of a parametric model (C-Fix) designed to estimate the basic carbon mass fluxes of forests in Belgium. Most validation efforts in the literature are based on point measurements. Since landscapes in Belgium are quite heterogeneous, the spatial up-scaling of a point measurement to the level of a sensor pixel is a crucial issue. Process based models quite often have a large set of input variables, some of them hardly available or not measurable on a regional basis; on the other hand most of the process based models possess a prognostic capacity. The parametric C-Fix model estimates carbon mass fluxes from local, regional to continental scales. It ingests only a modest number of meteorological input variables, including satellite observations. Parametric models do not possess a prognostic capacity, but the spatial up-scaling by the use of remote sensing data is much more straightforward than with process models. In this paper, we describe the validation of C-Fix with eddy covariance NEP (net ecosystem production) measurements and further applied C-Fix for the mapping of the geographical distribution of carbon mass fluxes over the entire Belgian territory, using NOAA-AVHRR (1997) and SPOT4-VGT imagery (April 1998-March 1999). We combine a forest probability map, derived from NOAA data for 1997 with the mapped estimates of Belgian NEP to obtain forest NEP per image pixel. Forest NEP is validated regionally, with measurements of carbon exchange obtained at two Belgian Euroflux eddy covariance tower sites (the Brasschaat, 'Inslag' and Vielsalm, 'Tinscubois' forest sites). A correlation analysis is performed for the estimated forest NEPs at both Euroflux sites and the NEP measured there, assumed to be primarily from forest. Finally, a correlation analysis with a process-based stand scale model (ASPECTS) is performed for the two forest sites, as a cross cheek on the validation results. Our results demonstrate that a parametric model, like C-Fix, provides a good basis to estimate the evolution and geographical distribution of the main constituents of the carbon budget of terrestrial ecosystems, in this study specifically forest ecosystems at the regional scale (Belgium). Numéro de notice : A2004-075 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000115238 En ligne : https://doi.org/10.1080/0143116031000115238 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26603
in International Journal of Remote Sensing IJRS > vol 25 n° 4 (February 2004) . - pp 769 - 792[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-04041 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Determination of thermal stratification and turbulence of the atmospheric surface layer over various types of terrain by optical scintillometry / Alexandra Weiss (2002)
Titre : Determination of thermal stratification and turbulence of the atmospheric surface layer over various types of terrain by optical scintillometry Type de document : Thèse/HDR Auteurs : Alexandra Weiss, Auteur Editeur : Zurich : Institut für Geodäsie und Photogrammetrie IGP - ETH Année de publication : 2002 Collection : IGP Mitteilungen, ISSN 0252-9335 num. 075 Importance : 152 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-3-906467-36-8 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Atmosphère
[Termes IGN] atmosphère terrestre
[Termes IGN] capteur optique
[Termes IGN] rayonnement électromagnétique
[Termes IGN] rayonnement solaire
[Termes IGN] réfraction atmosphérique
[Termes IGN] scintillation
[Termes IGN] turbulenceRésumé : (Auteur) Thermal stratification and turbulence in the atmospheric surface layer cause refraction and scintillation of an optical beam. On the one hand, such atmospherically induced effects are undesirable in many applications which are based on optical wave propagation through the atmospheric boundary layer. Such examples are found in many applications of terrestrial optical surveying. On the other hand, such atmospherically induced effects can be used to derive various meteorological parameters. Based on these consideration the present work deals with the determination of thermal stratification and turbulence of the atmospheric surface layer over different types of terrain by optical scintillometry.
First, in this study a method is introduced and experimentally verified to derive correction values for precise terrestrial geodetic measurements. For highly precise optical direction and distance measurements, such corrections require lineaveraged temperature or refractive index gradients. Secondly, this study investigates how precisely lineaveraged turbulence parameters can be derived in the atmospheric surface layer by scintillometry and whether their derivation deepens our understanding of the structure of the atmospheric surface layer, especially over nonhomogeneous terrain. Here, the main focus lies in the investigation of the accuracy of the turbulent sensible heat and momentum fluxes, and the dissipation rate of turbulent kinetic energy, which are of grave importance for many meteorological applications. This work is based on various field experiments conducted with a socalled displacedbeam scintillometer under different atmospheric conditions. The experimental sites varied from homogeneous and flat terrain to flat, nonhomogeneous terrain up to slanted, nonhomogeneous terrain in an alpine valley. For validation of the method, additional meteorological measurement techniques are used and are considered in the data analysis, such as eddycorrelation measurements with sonic anemometerthermometers and Krypton hygrometers, and temperature profile measurements with Pt 1000 sensors.
The derivation of the thermal stratification from the scintillation method is especially dependent on the accuracy of the derived turbulent sensible heat flux. In the scope of this study, satisfactory accuracy of the derived turbulent sensible heat fluxes is obtained, even for nonhomogeneous terrain. It is shown that the presented method is applicable for deriving, lineaveraged refraction correction values over various types of terrain and for different atmospheric conditions with a good temporal resolution. This result is confirmed by comparisons with local temperature profile measurements. The linfitations of this method are discussed on the basis of the experimental datasets. For instance, under neutral conditions, with weak thermal turbulence, the derivation of accurate values of the turbulent momentum flux can be problematic with this method. However, in this work it is shown that the scintillation method gives accurate values under many atmospheric conditions including the turbulent momentum flux and for several other turbulence parameters. On the basis of the field experiments, new insights into the turbulence structure of the surface layer can be achieved by scintillometry, even over nonhomogeneous terrain. In this context the turbulent structure in an alpine valley is analysed and described under various boundary layer features.Numéro de notice : 15052 Affiliation des auteurs : non IGN Nature : Thèse étrangère En ligne : http://dx.doi.org/10.3929/ethz-a-004283039 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=55054 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 15052-01 47.50 Livre Centre de documentation En réserve M-103 Disponible Analysis of refraction influences in geodesy using image processing and turbulence models / Philipp Flach (2001)
Titre : Analysis of refraction influences in geodesy using image processing and turbulence models Type de document : Thèse/HDR Auteurs : Philipp Flach, Auteur Editeur : Zurich : Schweizerischen Geodatischen Kommission / Commission Géodésique Suisse Année de publication : 2001 Collection : Geodätisch-Geophysikalische Arbeiten in der Schweiz, ISSN 0257-1722 num. 63 Importance : 175 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-3-908440-05-5 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie
[Termes IGN] analyse spectrale
[Termes IGN] détecteur à transfert de charge
[Termes IGN] filtre de Wiener
[Termes IGN] instrument de géodésie
[Termes IGN] instrumentation Leica
[Termes IGN] méthode des moindres carrés
[Termes IGN] modèle atmosphérique
[Termes IGN] réfraction atmosphérique
[Termes IGN] spectre électromagnétique
[Termes IGN] traitement d'image
[Termes IGN] turbulence
[Termes IGN] variance
[Termes IGN] vidéothéodoliteIndex. décimale : 30.03 Instruments de géodésie Résumé : (Auteur) The propagation path of light in the atmosphere is influenced by inhomogeneities of the refractive index. These refraction effects deteriorate the accuracy of the direction and distance measurements in geodetic applications. As illustrated by two examples in this report, the refraction effects cannot be accurately corrected up to now and, therefore, solutions must be provided which can be implemented into geodetic instruments. The presented approach is based on the determination of the temperature gradient being the decisive influential parameter for angular refraction effects.
In the atmosphere, temperature gradients are related to turbulent thermal exchange processes such as the turbulent sensible heat flux. In order to describe atmospheric turbulence, the applied statistical approach uses the method of spectral analysis which states that the atmospheric turbulent velocity field can be thought to consist of many eddies of different densities. This energy spectrum of turbulence can be modelled using the structure constant of refractive index CJ and the inner scale 10 of turbulence. If these two structure parameters are measured, the temperature gradient is derived from dimensionless profile functions using the so-called Monin-Obukhov similarity description. Hereby, the fact should be kept in mind, that the Monin-Obukhov similarity description and the energy spectrum of turbulence are only valid for vertical temperature gradient profiles in the atmospheric boundary layer.
This research work investigates the determination of the required structure parameter Cn and lo by means of image sensors which can be built into geodetic instruments. To derive the structure parameters CJ and 10 from the acquired image data, the application of appropriate image processing techniques is examined. The evaluation concept is based on angle-of-arrival fluctuations and intensity fluctuations. Angle-of-arrival fluctuations are perceived as high-frequency motions of image patterns grabbed by the sensor, and intensity fluctuations are related to the temporal variation of the gray values of the pixels. As presented in this report, these two effects of optical turbulence can be used to determine the structure parameter Cn and lo. For this purpose, image processing techniques must parameterize both angle-of-arrival fluctuations and intensity fluctuations. Within this research work, the angle-of-arrival fluctuations are modelled by the variance óx characterizing the shifting of image patterns which are located using edge detection algorithms. The intensity fluctuations are modelled by the variance óx characterizing the temporal intensity spectrum of the incoming light beam. In the scope of this research work, the variance óx is provided using digital filter techniques such as the Wiener filter or least-squares template matching.
In order to validate this concept, the video theodolite Leica TM3000V and a digital line scan camera Basler L120 are used as two different imaging systems to acquire image data during various practical field experiments. These field experiments revealed a partial good agreement between the structure parameter CJ and lo obtained by the image sensors and the ones obtained by a reference system (scintillometer). Basically, the method presented here is appropriate to reduce the refraction influence. A decisive advantage of this method is based on the fact that additional sensors are not necessary (except for the image sensors which are built into the instrument). However, as the exemplary comparison of temperature gradients shows at the end of the report, further research work in the scope of the atmospheric boundary layer is still necessary.Numéro de notice : 13062 Affiliation des auteurs : non IGN Autre URL associée : http://dx.doi.org/10.3929/ethz-a-004045114 Thématique : POSITIONNEMENT Nature : Thèse étrangère DOI : 10.3929/ethz-a-004045114 En ligne : https://www.sgc.ethz.ch/sgc-volumes/sgk-63.pdf Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=54863 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 13062-01 30.03 Livre Centre de documentation En réserve M-103 Disponible 13062-02 30.03 Livre Centre de documentation En réserve M-103 Disponible Remote sensing in the 21st century : economic and environmental applications / José Luis Casanova (2000)
Titre : Remote sensing in the 21st century : economic and environmental applications : Proceedings of the 19th Earsel Symposium on remote sensing in the 21st century, Valladolid, Spain, 31 May - 2 June 1999 Type de document : Actes de congrès Auteurs : José Luis Casanova, Éditeur scientifique Editeur : Lisse et Amsterdam : Balkema (August Aimé) Année de publication : 2000 Conférence : EARSeL 1999, 19th symposium, Remote sensing in the 21st century : economic and environmental applications 31/05/1999 02/06/1999 Valladolid Espagne Importance : 610 p. Format : 18 x 26 cm ISBN/ISSN/EAN : 978-90-5809-096-6 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] agriculture
[Termes IGN] éclairement énergétique
[Termes IGN] géologie
[Termes IGN] image radar
[Termes IGN] image radar moirée
[Termes IGN] image satellite
[Termes IGN] incendie de forêt
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] irrigation
[Termes IGN] météorologie
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] océanographie spatiale
[Termes IGN] radar à antenne synthétique
[Termes IGN] restauration d'image
[Termes IGN] risque naturel
[Termes IGN] ruissellement
[Termes IGN] sylviculture
[Termes IGN] télédétection en hyperfréquence
[Termes IGN] turbulence
[Termes IGN] utilisation du sol
[Termes IGN] zone humideNote de contenu : KEYNOTE LECTURES
- The future ESA Earth-Observation Strategy and ESA's 'Living Planet' programme by D.J. Southwood
- The Council of Europe's EUR-OPA Major Hazards Agreement by J.P. Massué & C. Negru
1. AGRICULTURE AND FORESTRY
- Space-vegetation software: A remote sensing tool for environmental applications at regional level by C Carmona-Moreno, J -A Moreno-Ruiz, E Bartholome & T. Negre
- Unsupervised classification's optimization by C. Pinilla, F.J. Ariza & M. Sanchez de la Orden
- A methodological approach for agricultural statistics by remote sensing by D. Yousfi
- The role of TM thermal band in describing the state/stress of vegetation by S.K.A. Panah & R. Goossens
- Drought monitoring of Spanish forests using Landsat TM satellite images by A. Vazquez, J M Cuevas, F. Gonzalez-Alonso, A Calle & J L Casanova
- Monitoring of forest change by using multi-temporal satellite data by N. Musaoglu & C Ormeci
- Integration of NOAA-AVHRR and meteorological data in a GIS - Application for vegetation monitoring in Castilla y Leon, Spain by P. Illera, J.A. Delgado, A.F. Unzueta & A.A.F. Manso
- Crop spatial characterization in the 18th aquifer, Spain by J. Garcia-Consuegra, F. Abad & G. Cisneros
- The use of satellite remote sensing imagery for detection of secondary forests on post-agricultural soils : A case study of Tuchola Forest, Northern Poland by M Kunz, A Nienartowicz & M Deptula
- The application of aerial photographs for analysis of landscape diversity in Reserve Grzedy, Biebrza National Park, Poland by M. Falencka-Jablonska, M Kunz &A Nienartowicz
- Drought monitoring based on thermal and microwave satellite data by K Dabrowska-Zielinska, A Ciolkosz, M Gruszczynska, W. Kowalik & E Kogan
- Irrigated crop identification and surface estimation with Landsat TM imagery in La Mancha oriental region, Spain by C. M Beltran, A C. Belmonte, JR. R. Gallardo & J. S. Garcia
- The integration of satellite images and GIS for Omerli Water Basin land use changes by C. Goksel & H. Turkoglu
- Geographical analysis using GIS of agrarian land use in the Province of Valladolid in 1997 with own classification on multiband satellite images by F.J. Tapiador & J. L Casanova
- Application of remote sensing to the study of oak decline in Aragon, Spain by S. Ait-Bachir, E G. Pelegrin & B. Lacaze
- Modelisation of the NDVI temporal evolution in forestry of Castilla y Leon Spain using climatic data by A.A.F. Manso, P. Illera, J.A. Delgado & A E Unzueta
2. METEOROLOGY
- Consequences of spatial resolution transformations for land-use classification by U. Fehrenbach & D. Scherer
- Validation of cloud detection algorithms by E Sospedra, V. Caselles, C. di Bella, C Coll, E Valor & E Rubio
- Measurements of C02 fluxes in Central Spain using the eddy correlation technique: Preliminary results by M.L. Sanchez, R. Rodriguez, S. Martinez, M Ozores & M.J. Lopez
- Selecting a clear-sky model to accurately map solar radiation from satellite images by G. Rigollier & L. Wald
- Radiative Bowen ratio to estimate daily fluxes from satellite images by M. Ibanez, V. Caselles & R Pérez
- Investigation of surface characteristics by the synergy of ground observations and NOAA/ AVHRR satellite measurements by J. Kerenyi, A. Merza, G. Gutman &L Csiszar
- Meteorological radar data processing software by D.D. Rancic, M.S. Smiljanic, S. Djordjevic-Kajan, P M Eferica, P D. Vukovic & A T Kostic
- Evaluation and behavior of the aerosol c Angstrom coefficient from spectral solar irradiance measurements in the Gulf of Cadiz (Huelva, Spain) to assess ocean color atmospheric correction by V E. Cachorro, R. Vergaz, A & A M De Frutos
- Calculation and analysis of erythematic irradiance using experimental data and TOMS ozone data by A Calle, A M Perez & J L Casanova
3. HYDROLOGY
- Wetland monitoring by the integration of remotely sensed data in a GIS tool by S. Castano, M.E. Mejuto, A. Vela & A. Quintanilla
- The use of Earth Observation for monitoring snowmelt runoff from non-alpine basins by R.G. Caves, O.C. Turpin, G.D. Clark, R.L Ferguson, S. Quegan & B. Johansson
- Three years of mapping irrigation water in the Flumen irrigation district, Spain by T. Martin-Ordonez, Ma.A Casterad & J Herrero
- Satellite monitoring in Amudarya river basin hydrology by V.E. Chub
- Application of mathematical functions for the monitoring of the small water bodies by V.E. Chub, N E. Gorelkin & S.V. Myagkov
4. METHODOLOGY
- Generation and integration of thematic documents from satellite images and ground sensors for environmental analysis and management by S. Ormeno & L Molina
- Accurate geodetic positioning of satellite laser ranging stations using a short arc geometric solution by M Catalan-M P Villares & M Catalan-PU
- Remote sensed image rectification in an automatic way by A. Martinez, F.J. Abad & J D. Garcia-Consuegra
- Architecture of a new generation of remote sensing ground segments by K. Seidel & M Datcu
- 'Supervised ART-II' neural network for Landsat TM image classification by K R. Al-Rawi, G Gonzalo & E. Martinez
- Mode of spectral angular distribution function extraction by A Nekrassov
- Correction of the sea wave height measuring results in airborne dual-frequency scatterometer measurement by A. Nekrassov
- Shaping a field of acoustic parametric array in periodic structure with diffuse borders by M.Y. Georgi & N.P. Zagrai
- Quality and quantity of ground control points in the orthorectifying process by M C. S. Trigo & J VG. Cervera
- Tool for integration and bi-directional conversion of remote sensing data by A. Arquero, C Gonzalo, E. Martinez & O. Gordo
- Self-organized criticality in the environment and remotely sensed data by L.N.Vasiliev
- ECEP-ECHO: Extraction and classification of edge pixels in an ECHO approach by J. Garcia-Consuegra, A Martinez & G. Cisneros
- An adaptive soft thresholding method for Speckle noise reduction in Synthetic Aperture Radar images by A Vidal-Pantaleoni, D. Marti & M. Ferrando
- 2-D phase unwrapping in Synthetic Aperture Radar interferometry by A. Vidal-Pantaleoni, R. Oviol & M. Ferrando
- Radiometric characterisation of the olive tree crops by C. Pinilla, F.J. Ariza & M. Sanchez
- Adjustment of the satellite image to the three-dimensional relief model by L.N. Borovikova, S.V. Myagkov & I. Durdina
- Textural classification using textural signatures by A Kourgh & A Belhadj-Aissa
- The MPNA algorithm for atmospheric correction of satellite imagery by M Ouarzeddine & A Belhadj-Aissa
- An automatic method to calibrate Meteosat visible images by M Lefevre, O. Bauer, A. Iehle & L. Wald
- Education and research in remote sensing in Algeria by Y. Smara & A Belhadj-Aissa
5. FOREST FIRES
- Forest and fire monitoring with NOAA AVHRR imagery in the Central African Republic by I. EI Ghazzawi
- Building-up a Burned Area Monitoring System based on Earth Observation data by J.U. Paul, M.R. Caetano & T. Santos
- Remote sensing estimation of fuel moisture content by E. Chuvieco, PJ. Vaughan, D. Riano & D. Cocero
- Ground-based infrared characterization of fires in the 3-5 gm spectral window by A.J. de Castro, J.M. Aranda, S. Briz & F. Lopez
- Analysis of the environmental factors in forest wildfires in Aznalcollar and Sierra Bermeja by A.S. Redondo & J.V.G. Cervera
- Temperature maps obtained from satellite images for a forest wildfire temporal evolution analysis by A.S. Redondo & J.V.G. Cervera
- Automatic mapping of large scale forest fires in Spain using Landsat-TM images by E. Quintano, J.A. Delgado, A. Fernandez & P. Illera
- An operational system for the forest fire risk assessment by means of NOAA images by A. Calle, J.L. Casanova, A. Ronto & E.Gonzalez-Alonso
6. YIELD ESTIMATION
- Estimation of cereal yields combining crop growth models and remotely sensed vegetation indices by B.J. Denore, J.L. Meilan, J.M. Williams, M. Cole, K.J. de Koeijer, J.J. Colls & C. Trigueros
- Integration of satellite data and administrative information in crop yield monitoring by R. Kuittinen, L. Matikainen, Y. Keskisarja, E. Partnes & Y.Perdigao
- Operational use of NOAA data for crop condition assessment in Poland by Z. Bochenek
7. HAZARDS
- Monitoring the distribution of shallow landslide-prone areas using remote sensing, WM and GIS : A case study from the tropical Andes of Venezuela by H. Gomez, R.P. Bradshaw & P.M. Mather
- Towards an operational monitoring of drought conditions in Spain using satellite images by F. Gonzalez-Alonso, A. Vazquez, J.M. Cuevas, A. Calle & J.L. Casanova
- Land degradation assessment in a semi-arid environment through the use of spectral indices and spectral unmixing by D. Haboudane, F. Bonn, A. Royer, S. Sommer & W. Mehl
- A study on deposit and erosion phenomena along the southern coast of Sicily using satellite remote sensing by A.L. Geraci, F.F. Landolina & A.O. Trovato
8. OCEANOGRAPHY
- A mean sea level variation in the Mediterranean using Topex-Poseidon, ERS-1 and ERS-2 altimeter observations by M. Catalan-PU, P. Villares, M. Bruno, J.J. Alonso, A. Ruiz-Canavate & M. Catalan-M
- Red tides GIS monitoring the Galician Coast by P.C. Pardo, M.M.S. Cuadrado, J.M. Herrero & J.M.T. Palenzuela
- Location of tuna-fish banks in the Mediterranean Sea using NOAA images by A. Romo, J.L. Casanova & A. Calle
- Developing and testing of an atmospheric correction model for water leaving radiance retrieval in the area of the Gulf of Cadiz based on experimental measurements by V.E. Cachorro, R. Vergaz, A Berjon, A.M. De Frutos & J. Morales
- The use of Topex-Poseidon, ERS- 1 and ERS-2 altimeters to detect meddies by P. Villares, M. Bruno, J.J. Alonso, A. Ruiz-Canavate, M. Catalan-PU, M Catalan-M
- Environmental study in the estuary of river Miflo by L.B. Villar, J.M. Herrero, J.M.T. Palenzuela & L.E. Fernandes
- Applications of SAR images in the western Mediterranean Sea by J.J.M. Benjamin, J.M. Redondo, J. Jorge & A. Platonov
- Pressure ridges extraction using Radarsat fine beam mode by E Hudier
9 GEOLOGY
- A GIS for the Natural Resources Authority, Amman, Jordan by H.J. Baxendale & L.A. Abu Saad
- Developing a technical computing facility at the Geological Commission in Guyana by A.P. Marchant & J.R. Gibson
- A remote sensing based approach for the restoration of an open-cast coal mine site in Spain by J.F. Llorens, J.L. Fernandez-Turiel, C. Banninger & A. Almer
- Discrimination of active alluvial sedimentary surfaces in TM images based on laboratory reflectance spectroscopy by E. Garcia-Melendez, A. Riaza & M. Sudrez
- Lithological and geomorphological large-scale mapping using remotely sensed data, GIS and terrain analysis by E. Wolk-Musial & B. Zagajewski
- Geomorphological-geological evaluation of the Gazikoy-Saros section of Northern Anatolian Fault zone using remotely sensed data by S. Kaya & O. Muftuoglu
10. RADAR AND HYPERSPECTRAL TECHNIQUES
- Optical indices as bioindicators of forest condition from hyperspectral CASI data by P.J. Zarco-Tejada, J.R. Miller, G.H. Mohammed, T.L. Noland & P.H. Sampson
- Metric relations in INSAR topographic modeling by G. Brandstadtter & A.L. Sharov
- Advanced polarimetric SAR data classification for cartographic information extraction by M.E. Buchroithner, E. Kraetzschmar & M. Hellmann
- A model for atmospheric correction of DAIS hyperspectral imager sensor based on experimental optical measurements by V.E. Cachorro, R. Vergaz & A.M. De Frutos
- Refined adaptive speckle filtering for SAR images by D. Cherifi & Y. Smara
- Textural classification using textural signatures by A. Kourgli & A. Belhadj-Aissa
- SAR imagery in urban area by L. Basly, E. Cauneau, T. Ranchin & L. Wald
- Scale evolution due to hydrodynamic modulation of SAR imaging by I.-F. Shen, M.J. Liou & Y. Li
- A unified approach to change analysis and despeckle of multitemporal ERS-1 by L. Alparone, S. Baronti, M Falugi & A. GarzelliNuméro de notice : 13020 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Actes Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=34606 Contient
- Temperature maps obtained from satellite images for a forest wildfire temporal evolution analysis / A.S. Redondo (31/05/1999)
- Advanced polarimetric SAR data classification for cartographic information extraction / Manfred F. Buchroithner (31/05/1999)
- SAR imagery in urban area / L. Basly (31/05/1999)
- Automatic mapping of large scale forest fires in Spain using Landsat-TM images / E. Quintano (31/05/1999)
- Refined adaptive speckle filtering for SAR images / Y. Smara (31/05/1999)
- The application of aerial photographs for analysis of landscape diversity in reserve Grzedy, Biebrza national parc, Poland / M. Falencka-Jablonska (31/05/1999)
- An operational system for the forest fire risk assessment by means of NOAA images / A. Calle (31/05/1999)
- Textural classification using textural signatures / A. Kourgli (31/05/1999)
- Drought monitoring based on thermal and microwave satellite data / Katarzyna Dabrowska-Zielinska (31/05/1999)
- Monitoring the distribution of shallow landslide-prone areas using remote sensing, DTM and GIS: a case study from the tropical Andes of Venezuela / H. Gomez (31/05/1999)
- Drought monitoring of Spanish forests using Landsat TM satellite images / Águeda Vázquez (31/05/1999)
- Forest and fire monitoring with NOAA AVHRR imagery in the central African Republic / I. El Ghazzawi (31/05/1999)
- Towards an operational monitoring of drought conditions in Spain using satellite images / F. Gonzalez-Alonso (31/05/1999)
- Building-up a burned area monitoring system based on Earth observation data / J.U. Paul (31/05/1999)
- A study on deposit and erosion phenomena along the southern coast of Sicily using satellite remote sensing / A.L. Geraci (31/05/1999)
- Remote sensing estimation of fuel moisture content / E. Chuvieco (31/05/1999)
- Optical indices as bioindicators of forest condition from hyperspectral CASI data / Pablo J. Zarco-Tejada (31/05/1999)
- Analysis of the environment factors in forest wildfires in Aznalcollar and Sierra Bermeja / A.S. Redondo (31/05/1999)
- Metric relations in INSAR topographic modelling / G. Brandstätter (31/05/1999)
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Code-barres Cote Support Localisation Section Disponibilité 13020-01 CG.99 Livre Centre de documentation Congrès Disponible Ondelettes et turbulences / P. Abry (1997)
Titre : Ondelettes et turbulences : Multi-résolutions, algorithmes de décomposition, invariance d'échelle et signaux de pression Type de document : Monographie Auteurs : P. Abry, Auteur Editeur : Paris : Diderot éditeur Année de publication : 1997 Collection : NOUVEAUX ESSAIS Importance : 290 p. Format : 17 x 24 cm ISBN/ISSN/EAN : 978-2-84134-064-4 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Analyse mathématique
[Termes IGN] invariance
[Termes IGN] mathématiques
[Termes IGN] ondelette
[Termes IGN] traitement du signal
[Termes IGN] transformation en ondelettes
[Termes IGN] turbulenceNote de contenu : 1 Transformées en Ondelettes
1.1 Principes et position de l'analyse temps-échelle
1.1.1 Temps-échelle versus temps-fréquence
1.1.2 Linéaire versus bilinéaire
1.1.3 Discret versus continu : Redondance, frame et échantillonnage critique
1.2 L'Analyse MultiRésolution
1.2.1 Espaces d'approximations - espaces d'ondelettes
1.2.2 Transformée non redondante en ondelettes semi-orthogonales, orthogonales, bi-orthogonales
1.3 Algorithmes d'analyse / synthèse et bancs de filtres
1.3.1 Implantation de la transformée continue
1.3.2 L'algorithme pyramidal rapide de la transformée discrète en ondelettes
1.3.3 Transformées en ondelettes et décomposition en sous bandes : bancs de filtres
1.3.4 Initialisation de l'algorithme pyramidal
1.3.5 L'algorithme à trous : première L'historique
1.3.6 L'algorithme à trous : deuxième La transformée continue dyadique
1.3.7 L'algorithme à trous : dernière Reconstruction
1.3.8 Variante : première Entrelacer les octaves
1.3.9 Variante : deuxième Réallocation du scalogramme
1.4 Décompositions en ondelettes continue ou discrète : Questions de point de vue?
1.4.1 Propriété 1 : Le cône d'influence
1.4.2 Propriété 2 : Redondance et noyau reproduisant
1.4.3 Propriété 3 : Reconstruction
1.4.4 Propriété 4 : Principales caractéristiques des ondelettes : localisation, régularité, nombre de moments nuls
1.4.5 Interprétation 1 : Image temps-échelle
1.4.6 Interprétation 2 : Retour sur l'échantillonnage du signal
1.4.7 Interprétation 3 : Filtrage passe-bande, banc de filtres à coefficient de surtension constant
1.4.8 Interprétation 4 : Temps-échelle et échelles de temps
1.4.9 Résumons et comparons
2 Fabriquer ou dessiner son ondelette
2.1 Vers l'ondelette adaptée ?
2.2 Conditions d'existence d'une Analyse MultiRésolution
2.2.1 Séquence génératrice d'une AMR
2.2.2 Exemples d'Analyses MultiRésolution
2.2.3 Fabrication de nouvelles AMR
2.2.4 Séquence admissible
2.2.5 Fabrication de nouvelles fonctions d'échelle
2.3 Définitions des espaces d'ondelettes : ondelettes semi-, bi- ou orthogonales
2.3.1 Ondelettes semi-orthogonales
2.3.2 Ondelettes orthogonales
2.3.3 Ondelettes bi-orthogonales
2.4 Synthèse d'ondelettes: une infinie variété d'ondelettes
2.4.1 De la fonction d'échelle à l'ondelette
2.4.2 Combinaison linéaire et changement de base
2.4.3 Dessiner sa propre ondelette. Première : ondelettes semi-orthogonales
2.4.4 Dessiner sa propre ondelette. Deuxième : ondelettes bi-orthogonales
2.5 Aspects pratiques de calcul des bancs de filtres - Résumé et comparaison
2.5.1 De u à Ö0
2.5.2 Séquences d'auto- et d'intercorrélation
2.6 Résumons et comparons
3 Utiliser les ondelettes : étude de l'invariance d'échelle
3.1 Préliminaires
3.1.1 Des applications
3.1.2 Processus stochastiques du second ordre et décomposition en ondelettes
3.1.3 Processus en 11P - Invariance d'échelle : Dépendance longue - Régularité locale - Auto-similarité .
3.1.4 Mouvement brownien fractionnaire - Bruit gaussien fractionnaire
3.1.5 Estimation spectrale en ondelettes - estimation du paramètre ce
3.2 Estimation spectrale, ondelettes, processus en 1/f
3.2.1 L'estimateur spectral classique (de Welch) : un estimateur temps-fréquence
3.2.2 Un estimateur spectral temps-échelle
3.2.3 Estimation spectrale temps-échelle et processus en 1/f
3.2.4 Conclusion : adéquation de l'estimation spectrale temps-échelle pour les processus en 1/f
3.3 Estimation du paramètre d'invariance d'échelle à l'aide de l'analyse en ondelettes
3.3.1 Idée de l'estimateur : deux arguments-clé
3.3.2 Définition de l'estimateur, biais et variance
3.3.3 Nombre de moments nuls - Immunité aux perturbations -redondance de la transformée
3.3.4 Application aux signaux de turbulence
3.3.5 Conclusion : estimation de Ü et ondelettes - Trois ingrédients
3.4 Ondelettes et longue dépendance dans les processus ponctuels - Le facteur de Fano
3.4.1 Des processus ponctuels ?
3.4.2 Facteur de Fano classique, processus de Poisson et longue dépendance
3.4.3 Facteur de Fano en ondelettes et estimation du paramètre de longue dépendance
3.4.4 Facteur de Fano multirésolution : variance de Allan - estimation spectrale
3.4.5 Conclusion
3.5 Détection de transitoires et ondelettes
3.5.1 Détecter avec les ondelettes ?
3.5.2 Détection et grille dyadique : la non-invariance en temps et le remède
3.5.3 L'algorithme de détection temps-échelle
3.5.4 Quand et pourquoi le détecteur-ondelette fait-il mieux ?
3.5.5 Conclusion
4 Analyse de signaux de pression en turbulence
4.1 Introduction à la turbulence
4.1.1 La turbulence ?
4.1.2 La quête de la turbulence: cascade d'énergie et universalité
4.1.3 Kolmogorov 41, invariance et loi d'échelle, auto-similarité
4.1.4 Intermittence, fonctions de structure, structures cohérentes
4.1.5 Kolmogorov 62 et modèles multifractal, thermodynamique et d'auto-similarité étendue
4.1.6 Les structures cohérentes
4.1.7 Turbulence, traitement du signal et ondelettes
4.2 Les signaux de pression et le dispositif expérimental
4.2.1 La pression en turbulence
4.2.2 Le dispositif expérimental
4.3 Analyse des signaux de pression
4.3.1 Traitements temps-échelle: détection automatique des dépressions, étude de leur comportement singulier, suppression de ces transitoires
4.3.2 Propriétés caractéristiques des dépressions, comportements singuliers et statistiques des temps d'attente
4.3.3 Densité de probabilité des signaux de pression
4.3.4 Densité spectrale de puissance
4.3.5 Fonctions de structure
4.3.6 Discussion et conclusion
A Coefficients de l'ondelette de Meyer
B Liste des opérateursNuméro de notice : 66954 Affiliation des auteurs : non IGN Thématique : MATHEMATIQUE Nature : Monographie Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=61681 Réservation
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