geemap 是一个 Python 库和地理空间工具包,专为交互式地图、遥感可视化和卫星图像分析而设计。它作为 Google Earth Engine 的 Python 接口,使用户能够在 Notebook 环境中管理基于云的地理空间工作流并可视化数据集。
gee-community/geemap 的主要功能包括: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 的开源替代品包括: 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