Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
World Heightmaps 360px
This is a dataset of 360x360 Earth heightmaps generated from SRTM 1 Arc-Second Global. Each heightmap is labelled according to its latitude and longitude. There are 573,995 samples.
Method
Convert GeoTIFFs into PNGs with Python and Rasterio.
import rasterio import matplotlib.pyplot as plt import os
input_directory = '...' output_directory = '...' file_list = os.listdir(input_directory)
for i in range(len(file_list)): image =… See the full description on the dataset page: https://huggingface.co/datasets/novaia/world-heightmaps-360px.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
This is a tiled collection of the 3D Elevation Program (3DEP) and is one meter resolution. The 3DEP data holdings serve as the elevation layer of The National Map, and provide foundational elevation information for earth science studies and mapping applications in the United States. Scientists and resource managers use 3DEP data for hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. The elevations in this DEM represent the topographic bare-earth surface. USGS standard one-meter DEMs are produced exclusively from high resolution light detection and ranging (lidar) source data of one-meter or higher resolution. One-meter DEM surfaces are seamless within collection projects, but, not necessarily seamless across projects. The spatial reference used for tiles of the one-meter DEM within the conterminous United States (CONUS) is Universal Transverse Mercator (UTM) in units of meters, and in conformance with the North American Datum of 1983 ...
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Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
World Heightmaps 360px
This is a dataset of 360x360 Earth heightmaps generated from SRTM 1 Arc-Second Global. Each heightmap is labelled according to its latitude and longitude. There are 573,995 samples.
Method
Convert GeoTIFFs into PNGs with Python and Rasterio.
import rasterio import matplotlib.pyplot as plt import os
input_directory = '...' output_directory = '...' file_list = os.listdir(input_directory)
for i in range(len(file_list)): image =… See the full description on the dataset page: https://huggingface.co/datasets/novaia/world-heightmaps-360px.