Procjena strukturnih elemenata sastojine na temelju vrijednosti spektralnoga odbijanja satelitskoga snimka IKONOS | Assessment of Stand Structural Elements on the Basis of Spectral Reflectance Values of an IKONOS Satellite Image
2011
Seletković, Ante | Pernar, Renata | Ančić, Mario | Sučić, Jelena
Rapid technological advances in the second part of the 20th century have brought about immense changes in data collection methods, especially in developed countries. In addition to standard terrestric data collection methods, forest data are increasingly being collected with remote sensing methods. The application of remote sensing reduces the amount of field work and offers the possibility of saving time and money. Satellite remote sensing is a very efficient method, while satellite images are a useful means for the surveillance and study of forest vegetation. Remote sensing is based on the prediction of the relationship between spectral reflectance and the observed variable. To interpret this kind of relationship, it is important to know the reflective characteristics of the target object (spectral features of vegetation, leaf, etc.), the size of area presentation (spatial resolution), and other factors such as topography, sun height, slope and orientation between the surveyed area and the survey sensor. A detailed and high quality analysis of satellite imagery, recognition and selection of certain data is highly dependent on image resolution, and especially on spatial resolution. Acquiring information on forests from satellite photographs of high spatial resolution has been the subject of a large number of research activities. One of the approaches involves classification based on pixel value, or regression analyses in which spectral records are used to predict classes or continuous variables of stand structure.
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