Sentinel5P_Python

Jupyter notebook for classifiying ITEMv2 polygons by Landsat observation offsets and spread

Notebook: How to resample Copernicus Global Land Service vegetation-related products (i.e. NDVI, FAPAR...) from 333m resolution to 1km using R-based packages and functions

Example of preliminary analysis and data exploration of Sentinel-5P satellite data

Detecting vegetation anomalies from CGLS products (e.g. NDVI)

Sample scripts and notebooks on processing satellite imagery Python Geospatial raster

Scripts and notebooks to tune, train, verify and apply random forest models for MSG-based rainfall retrieval over Africa.

Repository of WEkEO Jupyter Notebooks for learning about the Sentinel-3 SLSTR sensor for marine applications

Repository of WEkEO Jupyter Notebooks for learning about the Sentinel-3 SRAL sensor for marine applications

Repository of WEkEO Jupyter Notebooks for examples of marine case studies featuring EUMETSAT and/or CMEMS data.

Repository of WEkEO Jupyter Notebooks for learning about EUMETSAT Copernicus satellite data for marine applications. This code is a partial mirror of the repositories on https://gitlab.eumetsat.int/eumetlab/oceans/ocean-training

Repository of WEkEO Jupyter Notebooks for machine learning applications with EUMETSAT Copernicus marine data, in support of the 2020 Liege Colloquium.

A collection of Python notebooks and applications related to Earth Observation (EO) sector.

A notebook introducing regression machine learning for earth observation data.

Notebook demonstrating coastal vegetation edge detection from satellite imagery

Repository of WEkEO Jupyter Notebooks for learning about the Sentinel-3 OLCI sensor for marine applications

Sample Jupyter notebooks for EOdal

Notebook demonstrating tree crown detection from drone imagery

Set of Jupyter notebooks and geospatial data developed by the MAPSPADES project to study desertification in the Algerian steppe using EO data.

Notebooks for preprocessing and analysis of Planetscope 4 band data/imagery, using rasterio and fiona.