How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
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
Extract and analyze space-time-series characteristics from raster data.
MovingPandas - a Python library for movement data exploration and analysis
Get Landsat surface reflectance time-series from google earth engine
The main features of loicdtx/landsat-extract-gee are: Geospatial Data Services, Python Geospatial Libraries.
Open-source alternatives to loicdtx/landsat-extract-gee include: samapriya/geeup — Simple CLI for Google Earth Engine Uploads. giswqs/geemap — geemap is a Python library and toolkit for interactive geospatial analysis, visualization, and satellite imagery… adbeda/ts-raster — Extract and analyze space-time-series characteristics from raster data. banesullivan/localtileserver — dynamic tile server for visualizing rasters in Jupyter with ipyleaflet or folium. ben-nour/geojson-shave — A command-line tool for reducing the size of GeoJSON files. anitagraser/movingpandas — MovingPandas - a Python library for movement data exploration and analysis.
