Showing 5 open source projects for "commons-logging"

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  • 1
    Blender GIS

    Blender GIS

    Blender addons to make the bridge between Blender and geographic data

    Import in Blender most commons GIS data format, Shapefile vector, raster image, geotiff DEM, OpenStreetMap XML. There are a lot of possibilities to create a 3D terrain from geographic data with BlenderGIS, check the Flowchart to have an overview. Display dynamics web maps inside Blender 3d view, requests for OpenStreetMap data (buildings, roads, etc.), get true elevation data from the NASA SRTM mission.
    Downloads: 106 This Week
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  • 2
    PyMapStitcher-3---Cuda-Maps-Downloader

    PyMapStitcher-3---Cuda-Maps-Downloader

    A low ram maps downloader to keep your ram free.

    PyMapStitcher 3 is a desktop application for downloading, stitching, and exporting very large satellite map areas as GeoTIFF/BigTIFF files. The software supports GPU acceleration with NVIDIA CUDA and CuPy, direct GeoTIFF georeferencing, WebView-based map selection, and high-performance tile processing for large-scale mapping workflows.
    Downloads: 0 This Week
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  • 3

    geomorphometry toolbox

    Geomorphometry Toolbox for AG

    Geomorphometry Toolbox for AG is concerned with automated analysis of Digital Elevation Models with ESRI's software packages, mainly ArcInfo and ArcGIS
    Downloads: 0 This Week
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  • 4

    globalsoilmap.net/GSIF AG toolbox

    facilitating predictions of parameters using statistical models

    streamline the DSM process in ArcGIS/Numpy/GDAL/Python using Sampling, Statistical elaboration, Prediction to allow the application of extended statistical models generated by the CUBIST (TM) or JMP (TM) software to a set of auxiliary input parameters, thereby bypassing the need to i) manually calculate the equations using Raster calculator; ii) use a grid-to-point conversion process prior to applying the prediction model in the statistical software itself and then a point-to-grid...
    Downloads: 0 This Week
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  • 5

    Planar Roof Top Detection in LiDAR

    This tool detects and classifies roof tops from raw spatial LiDAR

    A new algorithm for extracting roof tops was developed. Using the assumption that roof tops are planar in construction, a new approach was developed using volume of point clouds to determine whether a cluster contains planar points. This approach yields very promising results and with attention applied to its weaknesses, should provide another algorithm which can rival currently available roof top detection methods.
    Downloads: 0 This Week
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