Global ETD Search

Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.

Results

Showing 1 to 3 of 3 for “"Landscape metric"”.

  1. American Woodcock Singing-ground Surveys in the western Great Lakes region: assessment of woodcock counts, forest cover types along survey routes, and landscape cover type composition.

    … of early successional forest, open space, and a landscape metric Interspersion and Juxtaposition Index (IJI) best explained counts in Wisconsin; in Minnesota, the amount of mature forest, water and models that included open space, wetlands, and early successional forest together best explained …

    umn Repository record for American Woodcock Singing-ground Surveys in the western Great Lakes region: assessment of woodcock counts, forest cover types along survey routes, and landscape cover type composition. (opens in a new tab)

  2. Synoptic Comparison of Salt Marsh Spatial Structure Using Hyperspectral Imagery at NOAA National Estuarine Research Reserves.

    … site geospatial patterns were examined using two landscape metrics. The seven sites were located in a range of climates, tidal, and river discharge regimes between Texas and Delaware. |Across all sites, the NDVI and MSAVI indices were well suited for distinguishing structural differences and …

    creighton Repository record for Synoptic Comparison of Salt Marsh Spatial Structure Using Hyperspectral Imagery at NOAA National Estuarine Research Reserves. (opens in a new tab)

  3. Visual topology in SDI: a data structure for modelling landscape perception

    … to support the inclusion of visual analysis into landscape planning and monitoring systems. Section 2 introduces various aspects of visual topology. In particular it sets out how visual intersections of occluding edges may be modelled topologically and formally defines a novel higher level …

    southwales Repository record for Visual topology in SDI: a data structure for modelling landscape perception (opens in a new tab)