A method and apparatus for selecting a ski resort
A ski resort and snow volume technology, applied in the field of GIS, can solve the problems of poor accessibility, passive purpose, large manpower and material resources in ski resorts, and achieve the effect of strong space landing, rapid acquisition and cost saving.
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Embodiment 1
[0052] The embodiment of the present invention provides a method for site selection of ski resorts, which is used for site selection of outdoor ski resorts, such as alpine ski resorts, in order to obtain construction addresses of ski resorts for different purposes such as athlete training, sports events, and mass skiing. Such as figure 1 As shown, the method includes:
[0053] Step S100: Obtain the DEM grid data, annual average air temperature grid data and snow thickness grid data of the area to be selected; the DEM grid data is a multi-source space of 200m×200m~2000m×2000m in the area to be located with different precision Raster database; the annual average temperature can be provided by the China Climate Sharing Platform for the air temperature raster data of the area to be selected; the first data of snow thickness is based on the meteorological data provided by the regional meteorological bureau and the precipitation from November to next March The snowfall is calculated ...
Embodiment 2
[0102] The embodiment of the present invention provides a ski resort site selection device, which is used for site selection of outdoor ski resorts, such as alpine ski resorts, to obtain the construction addresses of ski resorts for different purposes such as athlete training, sports events, and mass skiing. Such as Figure 6 As shown, the device includes:
[0103] The data acquisition module 10 is used to acquire DEM grid data, annual average air temperature grid data and snow thickness grid data of the area to be sited.
[0104] The aspect and slope extraction module 20 is used to extract the aspect and slope from the DEM grid data respectively to obtain the aspect grid data and the slope grid data.
[0105] The first reclassification module 30 is used to take fall, annual average temperature, snow thickness, slope and aspect as evaluation indicators to respectively analyze DEM raster data, annual average air temperature raster data, snow thickness raster data, and aspect ...
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