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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

  • Czech description

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

Result continuities

  • Project

  • 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

  • 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