jena-earth-observation-school Goto Github PK
Type: Organization
Twitter: JEOS_Jena
Type: Organization
Twitter: JEOS_Jena
Tool for extracting all kinds of statistics from Sentinel-1 time series and visualizing them
Tool for comparing International Soil Moisture Network (ISMN) sensor data with Sentinel-1 SAR backscatter from Google Earth Engine (GEE)
Woody Cover estimation using Sentinel-1 time series in the Kruger National Park
Include the fmask-algorithms for cloud detection in GRASS GIS
Tool for integrating Sentinel-1 processing capabilities with GRASS GIS functionality
:satellite: Sentinel-1 Pre-Processing in GRASS GIS
framework for large-scale SAR satellite data processing
This package uses machine learning for the land cover classification of Sentinel-1 data
Python tool for displaying time series of Radar backscatter and NDVI values in a web app.
Sentinel-1 Normalised Radar Backscatter Prototype Processor
Flask application to create an overview of SAR datasets & to visualize time series data of individual pixels
Tools and tutorials for the SALDi Data Cube (SDC).
A Python module for spatial data handling
The Python package provides access to user-friendly functions to calculate and analyse Sentinel-1 relative surface moisture products at different spatio-temporal levels.
Sentinel-1 Water Dynamics Toolkit
multitemporal analysis of raster data
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.