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Auteur Iwona Malek |
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Dual-Polarimetric signatures of vegetation – a case study Biebrza / Dariusz Ziolkowski in Geoinformation issues, vol 5 n° 1 (2013)
[article]
Titre : Dual-Polarimetric signatures of vegetation – a case study Biebrza Type de document : Article/Communication Auteurs : Dariusz Ziolkowski, Auteur ; Iwona Malek, Auteur ; Maria Budzynska, Auteur Année de publication : 2013 Article en page(s) : pp 29 - 41 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] données polarimétriques
[Termes IGN] filtre de déchatoiement
[Termes IGN] image ALOS-PALSAR
[Termes IGN] parc naturel national
[Termes IGN] polarimétrie radar
[Termes IGN] Pologne
[Termes IGN] pouvoir de résolution géométrique
[Termes IGN] végétationRésumé : (auteur) The main objective of the research presented in this article is to analyse the polarimetric characteristics of three main types of natural vegetation occurring in the Biebrza National Park – forests, shrubs and non-forest land communities covering wetlands. The variability of many different polarimetric products of signal decomposition, depending on the type of vegetation, the microwave image acquisition period and the method of their preliminary treatment, was analysed. An attempt was also made to assess how much polari-metric methods can be useful for modelling biophysical parameters of vegetation. The study used six dual-polarized (HH and HV) ALOS satellite images recorded during the growing season in the years 2008, 2009 and 2010. The images were processed in parallel, using different parameters, in order to estimate the impact of the spatial resolution of images and methods of speckle noise filtering on the value of polarimetric characteristics of different types of vegetation. All methods of polarimetric signal decompositions available using ESA POLSARPRO 4.2 software were tested. Three of them, i.e. the Alpha parameter from the H/A/Alpha decomposition (Cloud and Pottier, 1996) containing information about the dominant scattering mechanisms and two types of entropy: the entropy from the H/A/Alpha decomposition and the Shannon Entropy were selected for further analysis. The analysed years differed quite significantly from one another in the agro-meteorological conditions of plant growth. It was a cause of significant differences between the values of polarimetric characteristics in images recorded at the same season but in different years. During the growing season individual products of polarimetric signal decomposition are characterized by different variability. This demonstrates the dependence of different polarimetric characteristics on various biophysical parameters of the environment. It was observed that they are characterized by greater information content than the backscattering coefficient, especially if they are subjected to the process of increasing the resolution (oversampling). They can be used to model the biophysical parameters of vegetation. Numéro de notice : A2013-787 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : sans En ligne : http://www.igik.edu.pl/upload/File/wydawnictwa/givol5dzimmbmin.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76832
in Geoinformation issues > vol 5 n° 1 (2013) . - pp 29 - 41[article]