Satellite imagery for dummies.
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Updated
Mar 12, 2022 - Python
Satellite imagery for dummies.
framework for large-scale SAR satellite data processing
AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.
Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.
Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.
Generalized data analysis workflow via a consistent easy to use interface.
API to get enormous amount of high resolution satellite images from satellites.pro quickly through multi-threading! create map your own map dataset. Bringing data to Humans.
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.
Interactive tools for spectral mixture analysis of multispectral raster data in Python
A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification
Python scripts to download and preprocess air pollution concentration level data aquired from the Sentinel-5P mission
Evapotranspiration (ET) models for use in python and with integration into Google Earth Engine
UKIS Cloud Shadow MASK
PyTorch implementations of CNNs and domain-bridging algorithms used in baseline studies of SPEED+ dataset
CCSDS Navigation Data Messages Read/Write Library
The ukis-pysat package provides generic classes and functions to query, access and process multi-spectral and SAR satellite images
Create 3d-printable STLs from satellite 🌍 elevation data
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