@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00090693v1> a dcat:Dataset ;
    dct:description """
              We propose an approach to texture characterization and comparison that directly uses the information of digital images of the earth surface without requesting a prior distinction of structural ‘patches'. Digital images are partitioned into square ‘windows' that define the scale of the analysis and which are submitted to the two-dimensional Fourier transform for extraction of a simplified textural characterization (in terms of coarseness) via the computation of a ‘radial' power spectrum. Spectra computed from many images of the same size are systematically compared by means of a principal component analysis (PCA), which provides an ordination along a limited number of coarseness vs. fineness gradients. As an illustration, we applied this approach to digitized panchromatic air photos depicting various types of land cover in a semiarid landscape of northern Cameroon. We performed ‘textural ordinations' at several scales by using square windows with sides ranging from 120 m to 1 km. At all scales, we found two coarseness gradients (PCA axes) based on the relative importance in the spectrum of large (> 50 km−1), intermediate (30–50 km−1), small (10–25 km−1) and very small (<10 km−1) spatial frequencies. Textural ordination based on Fourier spectra provides a powerful and consistent framework to identifying prominent scales of landscape patterns and to compare scaling properties across landscapes.
            """ ;
    dct:identifier "hal-00090693" ;
    dct:issued "2026-05-08T04:12:30.599104"^^xsd:dateTime ;
    dct:language "en" ;
    dct:modified "2026-05-08T04:12:30.599108"^^xsd:dateTime ;
    dct:publisher <https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> ;
    dct:title "Textural Ordination Based on Fourier Spectral Decomposition: A Method to Analyze and Compare Landscape Patterns" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "CCSD" ] ;
    dcat:distribution <https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00090693v1/resource/3ee874a6-d159-460a-956d-61eab39adb36> ;
    dcat:keyword "cameroon",
        "central-africa",
        "fourier-transform",
        "infoeu-reposemanticsarticle",
        "journal-articles",
        "multi-scale-analysis",
        "remote-sensing",
        "sahel",
        "sdveelife-sciences-q-bioecology-environment",
        "spectral-analysis",
        "texture-feature-extraction",
        "tropical-savannas" ;
    dcat:landingPage <ISSN:%200921-2973> .

<ISSN:%200921-2973> a foaf:Document .

<https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00090693v1/resource/3ee874a6-d159-460a-956d-61eab39adb36> a dcat:Distribution ;
    dct:format "HTML" ;
    dct:issued "2026-05-08T04:12:30.611766"^^xsd:dateTime ;
    dct:modified "2026-05-08T04:12:30.584172"^^xsd:dateTime ;
    dct:title "Textural Ordination Based on Fourier Spectral Decomposition: A Method to Analyze and Compare Landscape Patterns" ;
    dcat:accessURL <https://hal.science/hal-00090693> .

<https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> a foaf:Agent ;
    foaf:name "test_moissonnage_selune" .