dongjwou Goto Github PK
Name: Jinwei
Type: User
Location: Univ. of Okla.
Blog: eomf.ou.edu
Name: Jinwei
Type: User
Location: Univ. of Okla.
Blog: eomf.ou.edu
Software Carpentry boot camp material
Bunjil Forest Watch - Community Forest Monitoring System
Python client for Baidu Yun (Personal Cloud Storage) 百度云/百度网盘Python客户端
Code for generating shrub cover trends from Landsat stacks
Prepare MODIS MOD13Q1 and MYD13Q1 vegetation products for TIMESAT.
A general classifier module to allow Bayesian and other types of classifications.
Congo Rain Forest Analysis
Work on: extraction of bands and creation of indices from Landsat image, cloud QA, creation of seasonal model and plotting cusum charts
A docker image that includes a IPython Notebook server and the Earth Engine Python API.
Simple Python script to query NASA's ECHO Rest API for MODIS MOD09GA HDF files, using some simple command line parameters
Ecosystem Production in Space and Time (ePiSaT) models Gross Primary Production (GPP) across the Australian continent from OzFlux flux tower data, gridded climate and satellite (MODIS) data. ePiSaT can be used to estimate ecosystem variables by partitioning OzFlux eddy covariance data to estimate GPP, light use efficiency (LUE), the maximum rate of carboxylation (Amax) etc. Once determined, the ePiSaT-modelled variables can be used in the well-founded and tested LUE approach to estimate GPP. Sample OzFlux data from Howard Springs is provided; ePiSaT requires the user to provide fAPAR, observed radiation, temperature and humidity data.
WebGL based visualizations of active fire data
Workshop Training to generate flood maps from Radarsat-2, EO-1, MODIS and Landsat-8
The Forest Monitoring for Action (FORMA) project provides forest clearing alerts derived from MODIS satellite imagery every 16 days beginning in December 2005. FORMA is a project of World Resources Institute and was developed by the Center for Global Development.
Course modules for teaching FOSS Scientific tools
if you like python, geo and landsat images, check this out... you will need gdal installed and in fact the old skool fwtools will help too
Miscellaneous geospatial scripts
Graphical analysis of random forests with the randomForestSRC and ggplot2 packages.
GRASS GIS Python scripts
Use MODIS satellite imagery to track EVI differences in places hit by major storms.
IDL code repo
A project to schedule and control the download and processing of Landsat 8 Imagery
MODIS direct broadcast pds merge tool
Visualization code for Landsat 8
Scripts for processing and analyzing Landsat data
Landsat 8 band recombinations in the browser.
Harvests new Landsat 8 imagery from USGS website. Formats the attributes and stores data in geodatabase. Also included is the front end code for the UI displaying the queried imagery.
An API for Landsat Metadata using Elastic Search
Database for Landsat-based research at Boston University
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.