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OpenGeoHub Summer School: Mastering Machine Learning - Lecture and Training
This is the basic tutorial for AI (ML or DL) for remote sensing.
A map of the costs of air pollution in Israel
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ANYWAY - Car accidents map
Automated Registration and Orthorectification Package
R scripts, input vector data and output raster data for master's thesis in Geoinformatics: "Evaluating Sentinel-2 and PlanetScope multispectral imagery in a machine learning approach to detect bark beetle infestation of spruce in North Rhine-Westphalia"
Run bokeh server on heroku
This project is the first research chapter of my dissertation proposal. I will be exploring the feasibility of using UAS remote sensing data to estimate forage production of a topographically heterogeneous rangeland nearby Atascadero, CA.
Spatial interpolation of point Tair data from private weather stations using a Random Forest model with satellite and other predictor data.
From the viewpoint of feature engineering and feature learning, the influence of the classification strategy and the features on the result of built-up area extraction is synthetically analyzed.
A commandline utility for converting GeoTIFF files for use in WRF
Initiate the cirme prediction algorithm
Terminal based UI for Israeli public transit data
A personal study collection for Data Science
Interactive, reactive web apps in pure python :star:
Deep learning courses and projects
Deep Neural Network: Satellite Image Classification in Google Colaboratory iPython Note Book
Introduction to convolutional neural networks (CNNs) with a remote sensing example.
A tool for estimating daily mean MODIS land surface temperature (LST) using a predictor-corrector apporach. The codes are written in R.
A python class for enhancing the spatial resolution of satellite-derived Land Surface Temperatures (LST) using statistical downscaling.
Downscaling soil moisture estimates from NASA's SMAP mission 9km product
Maps and tools to assess the state and change of global grasslands based on fractional ground cover calculated on the Google Earth Engine
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.