Résultats de la recherche | Land Portal

Résultats de la recherche

Showing items 1 through 9 of 4.
  1. Library Resource
    Articles et Livres
    décembre, 2016
    Pays-Bas, Europe

    Multifunctional land use has become a widely supported pathway for Europe's countryside. Brussels and the national governments stimulate farmers to integrate primary production with non-agricultural practices from which they can also benefit. In favour of this development different stakeholders are encouraged to collaborate to produce the so-called farmer-managed public goods. This paper explores critical success factors for the production and maintenance of these public goods.

  2. Library Resource
    Articles et Livres
    décembre, 2011
    Pays-Bas

    In this paper we evaluate the potential of ENVISAT–Medium Resolution Imaging Spectrometer (MERIS) fused images for land-cover mapping and vegetation status assessment in heterogeneous landscapes. A series of MERIS fused images (15 spectral bands; 25 m pixel size) is created using the linear mixing model and a Landsat Thematic Mapper (TM) image acquired over the Netherlands. First, the fused images are classified to produce a map of the eight main land-cover types of the Netherlands. Subsequently, the maps are validated using the Dutch land-cover/land-use database as a reference.

  3. Library Resource
    Articles et Livres
    décembre, 2011
    Pays-Bas

    Although developments in remote sensing have greatly improved land cover mapping, the mixed pixel problem has not yet been fully addressed. Soft classification techniques have been introduced to address the problem, but they do not show the spatial location of the class proportions in a pixel. Subpixel mapping has been introduced to address the drawbacks of soft classifications. In this work, the feedforward backpropagating neural network (FFBPNN) was used for subpixel mapping.

  4. Library Resource
    Articles et Livres
    décembre, 2012
    Inde, Pays-Bas

    A remote-sensing and geographical information sysytem (GIS)-based quantitative methodology for landslide-susceptibility zonation is described in a stepwise manner with its application in the Igo River Basin in the West Siang District of Arunachal Pradesh, Eastern Himalaya, India. Parameters such as geology, physiography, slope angle, slope length, slope aspect, slope type, generic landforms, lineament distance, road distance, drainage distance, altitudinal zones and land cover are used for landslide-susceptibility zonation.

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