Projects sharing features with Rioxarray

This project is a utility library for the Google Maps SDK for Android, providing a suite of specialized tools for rendering geospatial data, calculating spherical geometry, and visualizing map markers and heatmaps. It serves as a helper collection to handle complex geospatial tasks within Android applications. The library features a marker clustering tool to group nearby markers into single icons and a map data visualizer for generating heatmaps based on the intensity and distribution of geographic points. It also includes a polyline encoding tool for compressing coordinate sequences into com

``` pip install aiocogeo

The Python Shapefile Library (PyShp) reads and writes ESRI Shapefiles in pure Python.

EarthPy makes it easier to plot and manipulate spatial data in Python.

Rasterio reads and writes geospatial raster datasets

Cloud Optimized GeoTIFF creation and validation plugin for rasterio

User friendly Rasterio plugin to read raster datasets.

NumpyTiles is an open standard for communicating map raster data.

S2P is a Python library and command line tool that implements a stereo pipeline which produces elevation models from images taken by high resolution optical satellites such as Pléiades, WorldView, QuickBird, Spot or Ikonos. It generates 3D point clouds and digital surface models from stereo…

Deep learning docker files and docker images for geospatial anaysis. It contains the most popular deep learning frameworks(PyTorch and Tensorflow) with CPU and GPU support (CUDA and cuDNN included). And some other commonly used packages in machine learning and geospatial anaysis.

Simple Raster Formats for Julia