Fourier transforms for detecting multitemporal landscape fragmentation by remote sensing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F13%3A00208781" target="_blank" >RIV/68407700:21110/13:00208781 - isvavai.cz</a>
Result on the web
<a href="http://www.tandfonline.com/doi/full/10.1080/01431161.2013.853896#.UnjRwo1VRhF" target="_blank" >http://www.tandfonline.com/doi/full/10.1080/01431161.2013.853896#.UnjRwo1VRhF</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/01431161.2013.853896" target="_blank" >10.1080/01431161.2013.853896</a>
Alternative languages
Result language
angličtina
Original language name
Fourier transforms for detecting multitemporal landscape fragmentation by remote sensing
Original language description
Remote sensing is a useful tool for detecting landscape fragmentation, typically by creating land-use maps from remotely sensed images acquired at different dates. Nonetheless, classification may present a number of drawbacks since it degrades the information content of images leading to the loss of continuous information about fragmentation processes. For exploratory purposes, methods to detect landscape change based on continuous information should not require any a-priori assumptions about landscapecharacteristics. Accordingly, Fourier transforms may represent the best algorithmic solution. In this paper, we describe a Fourier transform tool developed in a free and open-source environment to detect potential fragmentation over the landscape. We briefly introduce Fourier transforms applied to remotely sensed imagery by further showing their potential application with an empirical example. We argue that Fourier transforms represent a straightforward approach for detecting spatial fra
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
DE - Earth magnetism, geodesy, geography
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Remote Sensing
ISSN
0143-1161
e-ISSN
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Volume of the periodical
34
Issue of the periodical within the volume
24
Country of publishing house
GB - UNITED KINGDOM
Number of pages
10
Pages from-to
8907-8916
UT code for WoS article
000327237000016
EID of the result in the Scopus database
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