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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/60460709:41330/10:49708

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

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

Popis výsledku anglicky

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

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

DO - Ochrana krajinných území

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Landscape Studies

ISSN

1802-4416

e-ISSN

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Svazek periodika

3

Číslo periodika v rámci svazku

duben 2010

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

11

Strana od-do

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Kód UT WoS článku

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EID výsledku v databázi Scopus

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