30 open-source projects similar to csaybar/ee-fastapi, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.
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
A Python interface between Earth Engine and xarray for processing time series data
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
This example demonstrates a few ways to get data into your binder.
Easily access and explore the SAR data products of the Copernicus Sentinel-1 satellite mission in Python.
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
There is a need to design specialized networks that are inherently computationally efficient to enable there use in resource contraint devices such as UAVs. The design space can be explored by focusing on the layer configurations, type and connectivity. An architecture is poropsed that allows…
A curated list of resources focused on Machine Learning in Geospatial Data Science.
Check our Breizhcrops Tutorial Colab Notebook for quick hands-on examples.
ServiceNow completed its acquisition of Element AI on January 8, 2021. All references to Element AI in the materials that are part of this project should refer to ServiceNow.
A curated list of awesome tools, tutorials and APIs related to data from the Copernicus Sentinel Satellites.
An Earth Engine JavaScript library for working with Landsat MSS image data.
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
An Earth Engine JavaScript library for visualizing GOES-R time series.
Earth Engine JS module to color time series chart points as stretched 3-band RGB.
Overview about state-of-the-art land-use classification from satellite data with CNNs based on an open dataset
Auto-updating Landsat 8 mosaics from AWS SNS notifications.
Create Cloud Optimized GeoTIFF mosaics from AWS Public datasets.
GEEO is a processing pipeline and collection of algorithms for obtaining Analysis-Ready-Data (ARD) from Landsat and Sentinel-2 using the Google Earth Engine Python API.
Get Landsat surface reflectance time-series from google earth engine
Microsoft Maps is releasing country wide open building footprints datasets in United States. This dataset contains 129,591,852 computer generated building footprints derived using our computer vision algorithms on satellite imagery. This data is freely available for download and use.
Code for 3rd place solution in Kaggle Understanding Clouds from Satellite Images Challenge.
A chrome extension to enhance Google Earth Engine code editor