jiangyuinsar Goto Github PK
Name: Yu Jiang
Type: User
Company: Nanyang Technological University
Bio: Research fellow in Geophysics
Twitter: jiangyuinsar
Location: Singapore
Blog: yujiang.carrd.co
Name: Yu Jiang
Type: User
Company: Nanyang Technological University
Bio: Research fellow in Geophysics
Twitter: jiangyuinsar
Location: Singapore
Blog: yujiang.carrd.co
The version of record is available online at: https://doi.org/10.1093/gji/ggx502.
Material for the 2019 UNAVCO Short Course "The Generic Mapping Tools for Geodesy"
This repository aims to store the code to build Yu Jiang's website with Hugo (academic theme).
Data, descriptions and code related to work encapsulated in Walker, Becker, and Fricker (2020) paper submitted to GRL.
A little helper to estimate the depth of shallow earthquakes and facilitate the work flow
The software will load in image collections from Google Earth Engine from different sensors (Landsat 5, 7, and 8, Sentinel 2a, 2b) and the code will identify pixels meeting certain criteria as snow. Then the area of snow can be calculated for a region or for an individual watershed. Then a chart can be generated which would create a visual that shows the change in area covered by snow across images as a percentage of the whole area. As the sky islands stretch across much of Southeastern Arizona, the software also eliminates the need to download multiple images from differing rows/paths.
A Python module of a fast and intelligent algorithm for finding the pixel displacement between two images
Quadratic element linear elastic boundary elements in Julia
Open source toolkit for the compilation and harmonisation of earthquake catalogues
A simplified toolkit for earthquake catalogue handling
Cover Crop Remotely Observed Performance (CCROP): The Maryland Department of Agriculture (MDA) is interested in verifying winter cover crop implementation and analyzing cover crop productivity using satellite imagery. As they do not have the expertise on-site to automate the process, we used a combination of scripting using JavaScript in Google Earth Engine (GEE) and ArcGIS to identify suitable Landsat and Sentinel images, extract individual farm field characters (such as values for various bands, NDVI, and red-edge) to a table, and export this table. Subsequently, this table will be incorporated in the MDA agronomic database where crop and farm productivity reports can be created as needed.
Deep learning pipeline for orbital satellite data for detecting clouds
Seismicity Clustering Analysis Based on nearest neighbor distances of event pairs
Contains code to produce unbiased estimates as expectations as in Unbiased Smoothing using Particle Independent Metropolis–Hastings
Characteristic repeating earthquakes code.
Classic Slip Inversion
A LaTeX template for academic CVs
Unbiased Markov chain Monte Carlo with couplings
additional documents like presentations, posters and workshop material
Python and JavaScript bindings for calling the Earth Engine API.
These programs can be used to download the earthquake catalog as well as to extract the event informations such as latitude, longitude etc.
This program can be used to find the earthquakes for given set of parameters and save in the catalog and plot it
Ellipse-Ellipse overlap area
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.