A Python package for geospatial analysis and interactive mapping in a Jupyter environment.
A module that turns raw LiDAR point clouds and gridded data cubes into aligned rasters and a simple 3D scene for inspection.
[xmin, ymin, xmax, ymax] bounds at the requested resolution, returning the output path. @test@generates
from typing import Optional
def build_dem_from_lidar(lidar_path: str, bounds: list[float], resolution: float, output_tif: str) -> str:
"""Create a DEM GeoTIFF from the LiDAR file clipped to [xmin, ymin, xmax, ymax]."""
def cube_slice_to_raster(cube_path: str, variable: str, time_index: int, dem_tif: str, output_tif: str) -> str:
"""Export a single variable slice to a GeoTIFF aligned to the DEM's extent/CRS and resolution."""
def render_3d_scene(dem_tif: str, overlay_tif: Optional[str], output_html: str) -> str:
"""Render a 3D scene of the DEM with an optional overlay and save it to HTML."""Provides LiDAR ingestion, data cube rasterization, and 3D terrain visualization support.
tessl i tessl/pypi-leafmap@0.52.0docs
evals
scenario-1
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