Sentinel Libraries

6 Components & Libraries

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Sentinel Libraries

Deep learning with satellite & aerial imagery

Extracting roads is challenging due to the occlusions caused by other objects and the complex traffic environment In instance segmentation, each individual 'instance' of a segmented area is given a u…

Sentinel Hub Cloud Detector for Sentinel-2 images in Python

The package requires a Python version >= 3.8. The package is available on the PyPI package manager and can be installed with To install the package manually, clone the repository and

FastAPI framework plugins

Add information about plugin system. Add information about settings. Add information about configuration of an application This project is licensed under the terms of the MIT license.

A collection of all earth related space Images in one script to set as your Desktop background.

DSen2-CR: A network for removing clouds from Sentinel-2 images. This repo contains the model code, written in Python/Keras, as well as links to pre-trained checkpoints and the SEN12MS-CR dataset.

This repository contains the code and models for the paper Meraner, A., Ebel, P., Zhu, X. X., & Schmitt, M. (2020). Cloud removal in Sentinel-2 imagery using a deep residual neural network and SA…

Python scripts for creating time lapse videos and gifs from Sentinel-2 images

The class allows creation of GIF and AVI videos, given a bounding box and a time interval. Sentinel-Hub's cloud detection classifier is used to filter cloudy images out of the time-lapse. The package…

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