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"rsync for cloud storage" - Google Drive, S3, Dropbox, Backblaze B2, One Drive, Swift, Hubic, Wasabi, Google Cloud Storage, Azure Blob, Azure Files, Yandex Files
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
Earth Engine JS module to color time series chart points as stretched 3-band RGB.
🎨 Diagram as Code for prototyping cloud system architectures
GeostatsPy Python package for spatial data analytics and geostatistics. Started as a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) from Fortran to Python, Geostatist…
A multivariate algorithm to detect breakpoints using multispectral time series.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
A game theoretic approach to explain the output of any machine learning model.
Interactive Code Editor-style reprs for Earth Engine objects in a Jupyter notebook
Combining tree-boosting with Gaussian process and mixed effects models
Terranex / pyfwi
Forked from buckinha/pyfwiAutomatically exported from code.google.com/p/pyfwi
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
Django-raster allows you to create tiled map services (TMS) and raster map algebra end points for web maps. It is Python-based, and requires GeoDjango with a PostGIS backend.
Turn a STAC catalog into a dask-based xarray
csaybar / kornia
Forked from kornia/korniaOpen Source Differentiable Computer Vision Library
Coursera Deep Learning Specialization
Awesome Spectral Indices in Python.
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
A python package that extends Google Earth Engine.
Raster-based Spatial Analytics for Python
Python module for hyperspectral image processing
Codes and data for Unmixing
Algorithm developed for Continuous Change Detection and Classification (CCDC) of land cover using all available Landsat data.