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Derivation and validation of the high resolution satellite soil moisture products: a case study of the Biebrza Sentinel-1 validation sites / Jan Musiał in Geoinformation issues, Vol 8 n° 1 (2016)    

Public [article]  inGeoinformation issues > Vol 8 n° 1 (2016) . - 37 - 53 Titre : Derivation and validation of the high resolution satellite soil moisture products: a case study of the Biebrza Sentinel-1 validation sites Type de document : Article/Communication Auteurs : Jan Musiał, Auteur ; Katarzyna Dabrowska-Zielinska, Auteur ; Wojciech Kiryła, Auteur ; Ryszard Oleszczuk, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : 37 - 53 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] humidité du sol [Termes IGN] image Sentinel-SAR [Termes IGN] Pologne [Termes IGN] série temporelle [Termes IGN] site [Termes IGN] zone humide Résumé : (auteur) Soil moisture content is a key variable for numerous disciplines hence the need for its constant monitoring at a global scale. Satellite imagery is the only mean to fulfil this objective. New generations of satellite sensors such as the Sentinel-1 SAR (Synthetic Aperture Radar) system provide measurements at fine spatial and temporal scales. In order to validate such estimates dense in-situ networks measuring soil moisture are required. The scarcity of such networks was the main motivation to establish two validation sites over the Biebrza wetlands within the project funded by the ESA (European Space Agency). The sites are covered by grassland and marshland and are internally homogeneous as far as the soil type and vegetation cover are concerned. Each site is equipped with 9 soil moisture monitoring stations installed every 130 m which allows the derivation of reliable mean soil moisture estimates across the site featuring small standard deviation (0.035 m3/m3 for the grassland site and 0.074 m3/m3 for the marshland site). The main objective of the presented study is to review the soil moisture derivation and validation methodologies suitable for the Sentinel-1 SAR satellite data and to describe physiographical settings of the Biebrza validation sites together with the installed instrumentation. Furthermore, the relationship between the time series of soil moisture measurements and Sentinel-1 sigma nought backscatter coefficient (?0) is examined. Ultimately, the validation results of the low resolution SM-DAS-2 soil moisture product are presented due to the unavailability of the high resolution product. Numéro de notice : A2016--170 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : https://doi.org/10.34867/gi.2016.4 En ligne : https://doi.org/10.34867/gi.2016.4 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=88961 [article]

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Drought monitoring based on thermal and microwave satellite data / Katarzyna Dabrowska-Zielinska (31/05/1999)

Public contenu dans Remote sensing in the 21st century : economic and environmental applications / José Luis Casanova (2000) Titre : Drought monitoring based on thermal and microwave satellite data Type de document : Article/Communication Auteurs : Katarzyna Dabrowska-Zielinska, Auteur ; A. Ciolkosz, Auteur ; Marta Gruszczynska, Auteur ; W.S. Kowalik, Auteur ; F. Kogan, Auteur Editeur : Lisse et Amsterdam : Balkema (August Aimé) Année de publication : 31/05/1999 Conférence : EARSeL 1999, 19th symposium, Remote sensing in the 21st century : economic and environmental applications 31/05/1999 02/06/1999 Valladolid Espagne Importance : pp 75 - 78 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] céréales [Termes IGN] cultures [Termes IGN] image ERS-SAR [Termes IGN] image NOAA-AVHRR [Termes IGN] image thermique [Termes IGN] radar à antenne synthétique [Termes IGN] sécheresse [Termes IGN] surveillance agricole [Termes IGN] télédétection en hyperfréquence Résumé : (Auteur) The Remote Sensing and Spatial Information Centre - OPOLIS in co-operation with NOAA/NESDIS Satellite Laboratory in Washington and ESA has conducted multidisciplinary studies on impacts of environment on agriculture with application of remote sensing data for several years. Research activities included vegetation monitoring using NOAA/AVHRR as well as high resolution ERS-2.SAR data. Recently, a successful attempt was launched to use low resolution AVHRR data for early drought detection in Poland. NOAA images have been used to derive Temperature Condition Index (TCI) characterising the status of crop development. TCI index represents the relation between actual weekly value of temperature and the temperature, which occurred during both favourable and stress crop growing conditions in the last decade. The differences in TCI values and their spatial distribution for the whole country give information where and when the drought has started and how intensive it was. The research also demonstrated that backscattering coefficient calculated from ERS-1/2.SAR data characterises soil moisture condition and can be used for drought detection. Our research has been conducted for cereals and validated through detailed ground measurements. This paper presents the results obtained for 1992 (drought conditions), 1994 (mean moisture conditions) and 1998 (favourable moisture conditions) for cereals. Numéro de notice : C1999-038 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Communication Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65804