Use of remote sensing methods in studying agricultural landscapes ? a review

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12220%2F10%3A00012573" target="_blank" >RIV/60076658:12220/10:00012573 - isvavai.cz</a>
Alternative codes found
RIV/60460709:41330/10:49708
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Use of remote sensing methods in studying agricultural landscapes ? a review
Original language description
One of the advantages of remote sensing in agricultural applications lies in its ability to classify and track changes occuring over large areas. Remote sensing is commonly used for crop classification, for yield forecasts, and also for monitoring post-harvest residues and on-site meteorological conditions. Land cover evaluations are most often performed using data from multispectral optical systems of sufficient spectral resolution. To improve the spatial resolution, hyperspectral and radar data is often used. The classification accuracy of vegetation cover is influenced not only by the technical parameters of the sensors but also by the physical and biological characteristics of the vegetation that is scanned, and by the conditions in the locality. Satellite data conveniently supplies terrestrial information, and as the technologies for acquiring and processing this information are continuously improving, they have huge potential in landscape monitoring. In this paper, we summarize s
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
DO - Protection of landscape
OECD FORD branch
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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