20 个仓库
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 是一个 Python 库和工具包,用于使用 Google Earth Engine 数据和云计算进行交互式地理空间分析、可视化和卫星图像分析。它提供了一个用于在 Jupyter Notebook 中显示地理空间数据集的地图工具,以及一套用于分类图像和计算区域统计数据的工具。 该项目包括一个将地理空间分析脚本从 JavaScript 转换为 Python 代码的工具,以促进数据操作。它还支持从卫星图像目录生成延时动画和时间序列可视化。 该库涵盖了广泛的地理空间功能,包括大规模空间计算、图像分类和地理空间数据可视化。它支持数据管理任务,例如将地理空间图层导出为通用格式、将图像像素提取为 numpy 数组,以及将本地 Shapefile 与基于云的分析集成。
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.
Provides a Julia interface for cloud-based geospatial analysis.
Performs atmospheric correction on satellite imagery.
Integrates cloud-based geospatial tools into RStudio.
Simplifies remote sensing data acquisition for R users.