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Auteur W. Mauser |
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Generation of geometrically and radiometrically terrain corrected SAR image products / A. Loew in Remote sensing of environment, vol 106 n° 3 (15/02/2007)
[article]
Titre : Generation of geometrically and radiometrically terrain corrected SAR image products Type de document : Article/Communication Auteurs : A. Loew, Auteur ; W. Mauser, Auteur Année de publication : 2007 Article en page(s) : pp 337 - 349 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] classification dirigée
[Termes IGN] coefficient de rétrodiffusion
[Termes IGN] correction géométrique
[Termes IGN] correction radiométrique
[Termes IGN] géométrie de l'image
[Termes IGN] géoréférencement
[Termes IGN] image E-SAR
[Termes IGN] luminance lumineuse
[Termes IGN] modèle numérique de surface
[Termes IGN] qualité des donnéesRésumé : (Auteur) Terrain undulations affect the geometric and radiometric quality of synthetic aperture radar images. The correction of these effects becomes indispensable when quantitative image analysis is performed with respect to the derivation of geo- and biophysical parameters. The paper presents a rigorous approach for geometric and radiometric correction of SAR images. Using a digital elevation model, the imaging geometry is reconstructed and is used to perform geometric and radiometric correction of terrain induced distortions. The importance of a stringent radiometric correction based on the integration of the image brightness is emphasized. The approach guarantees that the energy contained in the image data is preserved throughout the geocoding process. The resulting backscattering images are fully terrain corrected and can be used for further quantitative investigations and may also improve qualitative studies as e.g. land cover classifications. The technique is applicable for different sensor types and image products, including already geocoded SAR images. The effect of different resolutions of digital elevation models used for the correction of the backscattering coefficient is investigated. Copyright Elsevier Numéro de notice : A2007-067 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.09.002 En ligne : https://doi.org/10.1016/j.rse.2006.09.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28432
in Remote sensing of environment > vol 106 n° 3 (15/02/2007) . - pp 337 - 349[article]Hyperspectral monitoring of physiological parameters of wheat during a vegetation period using AVIS data / N. Oppelt in International Journal of Remote Sensing IJRS, vol 25 n° 1 (January 2004)
[article]
Titre : Hyperspectral monitoring of physiological parameters of wheat during a vegetation period using AVIS data Type de document : Article/Communication Auteurs : N. Oppelt, Auteur ; W. Mauser, Auteur Année de publication : 2004 Article en page(s) : pp 145 - 159 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse de données
[Termes IGN] analyse diachronique
[Termes IGN] Bavière (Allemagne)
[Termes IGN] blé (céréale)
[Termes IGN] classificateur paramétrique
[Termes IGN] hétérogénéité sémantique
[Termes IGN] image AVIRIS
[Termes IGN] image hyperspectrale
[Termes IGN] indice de végétation
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] réflectance végétale
[Termes IGN] saison
[Termes IGN] surveillance agricole
[Termes IGN] zone humideRésumé : (Auteur) Information on the quantity and spatial distribution of canopy physiological and biochemical components is of importance for the study of nutrient cycles, productivity, vegetation stress and, more recently, in driving ecosystem models. In this context, remote sensing can play a unique and essential role because of its ability to acquire synoptic information at different time and space scales. This paper presents parts of a two-year field and laboratory study with the new airborne hyperspectral sensor, the Airborne Visible near Infrared Imaging Spectrometer (AVIS), over a test site in the Bavarian Alpine foothills, Germany (48' 8'N, 11°17' E ). The 80-band AVIS was developed at the Department for Earth and Environmental Sciences of the LudwigMaximiliansUniversity Munich and records the 550-1000 mn spectral range. Using this system, 18 hyperspectral datasets were collected between April and September of 1999 and 2000. Weekly measurements of several plant parameters (height, biomass, leaf chlorophyll content, leaf nitrogen content) were carried out during these time periods on three (1999) and six (2000) fields of winter wheat, whereby two different cultivars were investigated in 2000. After system correction and calibration, the hyperspectral data were atmospherically corrected and calibrated to reflectance. The resulting spectra were analysed for their chemical compounds. The statistical analysis was carried out using the Chlorophyll Absorption Integral (CAI) in comparison to established indices: Optimized Soil-Adjusted Vegetation Index (OSAVI) and hyperspectral Normalized Difference Vegetation Index (hNDVI). Both the chlorophyll and nitrogen content of the leaves showed good correlations with CAI on a field mean basis. These results as well as two-dimensional information on these parameters are presented to provide information about the spatial heterogeneity within a field. Numéro de notice : A2004-036 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000115300 En ligne : https://doi.org/10.1080/0143116031000115300 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26564
in International Journal of Remote Sensing IJRS > vol 25 n° 1 (January 2004) . - pp 145 - 159[article]Exemplaires(1)
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