eo-tides
eo-tides: Tide modelling tools for large-scale satellite Earth observation analysis - Published in JOSS (2025)
sandpyper
sandpyper: A Python package for UAV-SfM beach volumetric and behavioural analysis - Published in JOSS (2021)
gpm-api
A python package to download and analyze the Global Precipitation Measurement Mission (GPM) data archive
pysat
Generalized data analysis workflow via a consistent easy to use interface.
DINCAE
DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.
multi-mode-cnn-pytorch
A PyTorch implementation of the Multi-Mode CNN to reconstruct Chlorophyll-a time series in the global ocean from oceanic and atmospheric physical drivers
unmixing
Interactive tools for spectral mixture analysis of multispectral raster data in Python
causual-structure-discovery-spacecraft-telemetry
Detecting anomalies in satellites telemetry data using Probabilistic Graphical Models
greenexp_r
This is a R toolkit and developer version package to estimate multidimensional aspects of greenness and nature exposure, such as availability, accessibility and visibility using various geospatial data and models
goes2go
Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.
eodash
Software behind the RACE dashboard by ESA and the European Commission (https://race.esa.int), the Green Transition Information Factory - GTIF (https://gtif.esa.int), as well as the Earth Observing Dashboard by NASA, ESA, and JAXA (https://eodashboard.org)
pylandtemp
Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.
https://github.com/aalling93/sentinel_1_python
Sentinel-1 SAR in Python. Work with Metadata, Download Images, Load image, Calibrate the images, Speckle Filter the images. In short: Work with Sentinel 1 with only python...
https://github.com/aalling93/ecnn-on-sar-data-and-radiometry-data
Deep learning for Synthetic Aperture Radar(SAR) and Radiometry data. An Ensemble Convolutional Neural Network workflow is implemented with data acquisition, processing, labelling, creating model, training model and launching a model
cdsuite
Repositorio de herramientas para la obtención y gestión de datos de Copernicus Climate Data Store (CDS)
egu_2021_lgeo_workshops
Workshop materials for EGU General Assembly 2021 sessions Spatio-temporal trend analysis of spatial climate data (temperature and rainfall) using Python Satellite image processing using Python programming
automatic-satelitte-island-discovery
Project outside of course scope at (BSc) Machine Learning and Data Science education programme. Colab between NGI and DIKU at University of Copenhagen.
hyperspectral_toolkit
Google Earth Engine (GEE) JavaScript-based tools for working with various hyperspectral datasets (e.g., AVIRIS, EMIT, Hyperion, PACE OCI)
workshops_servir_central_america
Miscellanous JavaScript-based Google Earth Engine (GEE) scripts for Central America virtual trainings by the SERVIR program
pace_oci_toolkit
Google Earth Engine (GEE) JavaScript-based tools for working with NASA PACE OCI data