20 रिपॉजिटरी
APIs and platforms providing access to geographic, safety, and postal data.
Explore 20 awesome GitHub repositories matching part of an awesome list · Geospatial Data Services. Refine with filters or upvote what's useful.
geemap is a Python library and toolkit for interactive geospatial analysis, visualization, and satellite imagery analysis using Google Earth Engine data and cloud computing. It provides a mapping tool for displaying geospatial datasets within Jupyter notebooks and a suite of tools for classifying imagery and calculating zonal statistics. The project includes a utility to convert geospatial analysis scripts from JavaScript into Python code to facilitate data manipulation. It also enables the generation of timelapse animations and time-series visualizations from satellite imagery catalogs. The
Enables interactive mapping and analysis in Python.
Google Earth Engine for R
Connects R environments to cloud-based geospatial engines.
Simple CLI for Google Earth Engine Uploads
Provides a CLI for uploading geospatial datasets.
ee-fastapi: Flood Detection System
Detects floods using cloud-based geospatial processing.
Get Landsat surface reflectance time-series from google earth engine
Extracts reflectance time-series from satellite archives.
Provides a collection of reusable geospatial code snippets.
Enhances the web-based code editor for geospatial tasks.
Integrates cloud-based geospatial tools into RStudio.
Provides a Julia interface for cloud-based geospatial analysis.
Simplifies remote sensing data acquisition for R users.
Performs atmospheric correction on satellite imagery.