awesome-repositories.com
Blog
MCP
awesome-repositories.com

Discover the best open-source repositories with AI-powered search.

ExploreCurated searchesOpen-source alternativesSelf-hosted softwareBlogSitemap
ProjectMCP serverAboutHow we rankPress
LegalPrivacyTerms
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
csaybar avatar

csaybar/ee-fastapi

0
View on GitHub↗

Ee Fastapi

ee-fastapi: Flood Detection System

Features

  • Geospatial Data Services - Detects floods using cloud-based geospatial processing.

AI search

Explore more awesome repositories

Describe what you need in plain English — the AI ranks thousands of curated open-source projects by relevance.

Start searching with AI
  • Satellite Datasets - FastAPI backend for flood detection using Earth Engine.
  • 88 stars·18 forks·Python·12 views

    Star history

    Star history chart for csaybar/ee-fastapiStar history chart for csaybar/ee-fastapi

    How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

    Frequently asked questions

    What does csaybar/ee-fastapi do?

    ee-fastapi: Flood Detection System

    What are the main features of csaybar/ee-fastapi?

    The main features of csaybar/ee-fastapi are: Geospatial Data Services, Satellite Datasets.

    Which projects share features with csaybar/ee-fastapi?

    Projects with overlapping indexed features include: torchgeo/torchgeo — TorchGeo is a PyTorch library designed for deep learning on geospatial data, providing a framework for building and… acgeospatial/awesome-earthobservation-code — A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite… acgeospatial/sentinel-5p — Sentinel5P_Python. binder-examples/getting-data — This example demonstrates a few ways to get data into your binder. bopen/xarray-sentinel — Easily access and explore the SAR data products of the Copernicus Sentinel-1 satellite mission in Python. aazuspan/wxee — A Python interface between Earth Engine and xarray for processing time series data.

    Projects sharing features with Ee Fastapi

    These projects share indexed features with Ee Fastapi. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
    • torchgeo/torchgeotorchgeo avatar

      torchgeo/torchgeo

      4,237View on GitHub↗

      TorchGeo is a PyTorch library designed for deep learning on geospatial data, providing a framework for building and training neural networks for tasks such as semantic segmentation, object detection, and change detection. It serves as a comprehensive pipeline for remote sensing, featuring specialized dataset loaders and multispectral image preprocessing tools. The library is distinguished by a dedicated remote sensing model zoo and extensive support for transfer learning, allowing users to integrate pre-trained weights optimized for specific satellite sensors. It also includes support for sel

      Pythoncomputer-visiondatasetsdeep-learning
      View on GitHub↗4,237
    • acgeospatial/awesome-earthobservation-codeacgeospatial avatar

      acgeospatial/awesome-earthobservation-code

      1,353View on GitHub↗

      A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery

      HTML
      View on GitHub↗1,353
    • acgeospatial/sentinel-5pacgeospatial avatar

      acgeospatial/Sentinel-5P

      43View on GitHub↗

      Sentinel5P_Python

      Jupyter Notebook
      View on GitHub↗43
    aazuspan/wxeeaazuspan avatar

    aazuspan/wxee

    214View on GitHub↗

    A Python interface between Earth Engine and xarray for processing time series data

    Python
    View on GitHub↗214
    Compare all 30 related projects→