Opportunities of delineating inland waters and soil moisture with remote sensed data

dc.contributor.authorVasvári, Gyula
dc.contributor.authorVig, Róbert
dc.contributor.authorDobos, Attila
dc.date.accessioned2021-06-28T10:55:32Z
dc.date.available2021-06-28T10:55:32Z
dc.date.issued2012-05-16
dc.description.abstractThe methodology for delineating water bodies on multispectral remote sensing imagery was examined and evaluated. A supervised approach is tested with the aim to accurately detect inland water, moisturised soil surface and swampy patches on the Landsat TM 7 scene. The goal of this research is to investigate whether the application of remote sensing image interpretation could further refine the possibilities of future soil conductivity measurement research. The methodologies used were the application of supervised classification algorithms based on the training data collected in the area. The achieved overall classification accuracy value of 83.0795% suggests that the methodology could be used as a successful strategy to incorporate remote sensing data interpretation into soil conductivity measurement planning and application. The main conclusion that can be drawn is that processing of multispectral data with further refinement of the presented methodologies can led to very useful outcomes for environmental measurements.en
dc.formatapplication/pdf
dc.identifier.citationActa Agraria Debreceniensis, No. 46 (2012) , 95-98
dc.identifier.doihttps://doi.org/10.34101/actaagrar/46/2416
dc.identifier.issn2416-1640
dc.identifier.issue46
dc.identifier.jatitleActa agrar. Debr.
dc.identifier.jtitleActa Agraria Debreceniensis
dc.identifier.urihttps://hdl.handle.net/2437/316077en
dc.languageen
dc.relationhttps://ojs.lib.unideb.hu/actaagrar/article/view/2416
dc.rights.accessOpen Access
dc.subjectsoil moistureen
dc.subjectremote sensingen
dc.subjectsoil mapen
dc.subjectclassificationen
dc.titleOpportunities of delineating inland waters and soil moisture with remote sensed dataen
dc.typefolyóiratcikkhu
dc.typearticleen
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