geemap is a Python library and geospatial toolkit designed for interactive mapping, remote sensing visualization, and satellite imagery analysis. It serves as a Python interface for Google Earth Engine, enabling users to manage cloud-based geospatial workflows and visualize datasets within notebook environments.
gee-community/geemap की मुख्य विशेषताएं हैं: Geospatial Visualizations, Earth Engine Client Libraries, Satellite Imagery Classification, Satellite Imagery, Spatial Format Translators, Geospatial Data Catalogs, Geospatial Data Converters, Format Conversions।
gee-community/geemap के ओपन-सोर्स विकल्पों में शामिल हैं: opengeos/leafmap — Leafmap is a Python geospatial visualization library designed for creating interactive maps and performing geospatial… giswqs/geemap — geemap is a Python library and toolkit for interactive geospatial analysis, visualization, and satellite imagery… xiangyuecn/areacity-jsspider-statsgov — This project is an administrative GIS toolset that provides a comprehensive dataset of China's administrative… keplergl/kepler.gl — Kepler.gl is a web-based geospatial visualization framework designed for rendering large-scale location datasets. It… google/earthengine-api — The Google Earth Engine Client Library is a programmatic interface for accessing, manipulating, and exporting… freika/dawarich — Dawarich is a self-hosted location history manager and travel journaling platform. It functions as a personal travel…
Leafmap is a Python geospatial visualization library designed for creating interactive maps and performing geospatial analysis within Jupyter environments. It provides a comprehensive set of tools for building interactive map interfaces, browsing and visualizing SpatioTemporal Asset Catalog items, and connecting to PostGIS databases for spatial data rendering. The project distinguishes itself through a backend-agnostic rendering system that allows users to switch between different mapping engines while maintaining a consistent API. It features specialized capabilities for Cloud Optimized GeoT
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
This project is an administrative GIS toolset that provides a comprehensive dataset of China's administrative divisions, including provinces, cities, districts, and townships. It functions as a coordinate system transformer and a boundary converter for transforming geographic data into standard formats. The toolset distinguishes itself through the ability to convert administrative boundary data between CSV, GeoJSON, Shapefiles, and SQL. It includes specialized utilities for coordinate system transformation between GCJ-02, BD-09, WGS-84, and CGCS2000 standards to ensure accuracy across differe
Kepler.gl is a web-based geospatial visualization framework designed for rendering large-scale location datasets. It functions as a modular React mapping component that enables developers to embed interactive, high-performance geographic visualizations into web applications, serving as a comprehensive engine for building browser-based GIS dashboards. The library distinguishes itself through a highly extensible architecture that centers on centralized state management. By utilizing a predictable state-driven model, it allows for the programmatic control of map layers, filters, and viewport set