A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

interactive notebooks from Planet Engineering

Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray

A collection of Python packages for geospatial analysis with binder-ready notebook examples

All the code in this branch will be python based, upon jupyter notebook. You will be able to find all codes for Google Earth Engine(GEE) on this repository. You will be able to link code with each post blog on readme file for each folders. Content from the Blog https://kaflekrishna.com.np will be uploaded here. https://google-earth-engine.com/

Sample Jupyter notebooks for EOdal

SAR2SAR: a self-supervised despeckling algorithm for SAR images - Notebook implementation usable on Google Colaboratory

Notebooks that use Google Earth Engine and CUAHSI to teach and develop remote sensing projects

Python scripts and Jupyter Notebooks to download and preprocess VIIRS DNB Nighttime Lights data.

Unofficial Google Earth Engine Python Documentation

SOMOSPIE (Soil Moisture Spatial Inference Engine) consists of a Jupyter Notebook and a suite of machine learning methods to process inputs of available coarse-grained soil moisture data at its native spatial resolution. Features include the selection of a geographic region of interest, prediction of missing values across the entire region of int…

Lexcube: 3D Data Cube Visualization in Jupyter Notebooks

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

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

Ejecicicos en español sobre Jupyter Notebook mediante el paquete de Python, ipyleaflet, y ipywidgets: "geemap", para el mapeo interactivo en Google Earth Engine-GGE, de incendios forestales.

Jupyter notebook to convert Tiff files to Geojson

This repo contains open-source tools and tutorials developed by scientists and engineers funded by the NASA TROPESS project.

SAR Image Despeckling by Deep Neural Networks: from a pre-trained model to an end-to-end training strategy - Notebook implementation usable on Google Colaboratory

A personal pytorch-based implement of HybridSN by Jupyter Notebook

Python scripts and Jupyter Notebooks to download and preprocess Sentinel-5P NO2 data.