Tools tagged with "Python"

A Rust-powered vector tile engine for R and Python, creating efficient .pmtiles files from various data sources.

Elevate data storytelling skills through interactive, geospatial, and narrative data visualization techniques.

A unified Python toolkit for obtaining embeddings from any Remote Sensing Foundation Model with a single line of code.

GeoPandas-AI turns GeoDataFrames into a conversational, intelligent assistant for geospatial data analysis.

This book introduces `sits`, an open-source R package for analyzing big Earth observation data using satellite image time series and data cubes.

A Python library for high-accuracy water segmentation in satellite and aerial imagery using deep learning and spectral indices.

A universal Python package for regridding geospatial data, supporting various methods and curvilinear grids.

Rapid Realistic Routing with R5 in Python.

An open-source deep-learning framework for exploring, building, and deploying AI weather and climate workflows.

This Python library converts diverse geospatial datasets into graph structures for advanced GNN and spatial analysis.

A blog providing updates and technical insights related to geospatial code and news.

GoldenEye provides a unified interface for geospatial vision-language models, enabling rapid deployment with minimal code.

This course teaches fundamental programming and scientific data analysis using Python, tailored for geospatial applications.

A coordinated effort to simplify browser-based data visualization in Python.

A fast and scalable Python library for raster-based spatial analytics.

A data-oriented pansharpening model designed to enhance the spatial resolution of satellite imagery through image fusion.

This Python package automatically generates high-resolution river relative elevation models (REM) and visualizations from digital elevation models.

Provides current news and updates on developments within the geospatial industry.

A Python package for interactive geospatial analysis and visualization with Google Earth Engine.

OCWGIS provides free and open online courses for individuals to learn and enhance their skills in Geographic Information Systems.

A Python package that extends Google Earth Engine with pre-processing and processing tools for satellite platforms.

This course offers a gentle introduction to Python programming, specifically tailored for spatial data analysis.

An immersive online course for developing open-source Python packages for geospatial analysis and interactive mapping.

An open-source SDK designed for logging, storing, querying, and visualizing diverse multimodal and multi-rate data streams.

A structured introduction to XArray, STAC, and Dask for cloud-based remote sensing applications.

A robust open-source Python package for comprehensive analysis of digital elevation models.

A unified framework for end-to-end segmentation of forest LiDAR 3D point clouds.

Create beautiful maps from OpenStreetMap data using a Python package and web application.

A Python library for reading, visualizing, and performing calculations with weather data.

FIAtools offers an open-source Python ecosystem for comprehensive USDA Forest Service FIA data analysis, from raw plots to growth projections.

A Python library for drawing aesthetically pleasing maps from OpenStreetMap data.

This course introduces geographic data analysis using the Python programming language through interactive lessons and hands-on exercises.

A Python library for reading, writing, displaying, and processing complex SAR data using the NGA SICD standard.

A unified API and command-line tool for searching, aggregating, and downloading Earth Observation data from various providers.

A practical hands-on introduction to GDAL and OGR command-line programs.

An end-to-end pipeline for generating cloud-free Sentinel-2 satellite imagery mosaics over extensive geographical regions.