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The IDL library from EBDL
Atmospherically Corrected Time Series using Google Earth Engine
Maps and tools to assess the state and change of global grasslands based on fractional ground cover calculated on the Google Earth Engine
Walkthrough demonstrating how trained DNNs (CNTK and TensorFlow) can be applied to massive image sets in ADLS using PySpark on Azure HDInsight clusters
ESPA modules for cloud masking
Ordering and fulfillment for USGS Climate Data Records and Essential Climate Variables
ESPA module for product formatting
ESPA module for generating various spectral indices
Jupyter notebooks for Python and R workshops
Automatically exported from code.google.com/p/fmask
Assorted tasks meant for use with ENVI's Feature Extraction Module.
Code for using Google Earth Engine
Atmospheric correction of Sentinel 2 image collections
This is the final class project for the Johns Hopkins Coursera class Getting and Cleaning Data
Global Forest Change calculator - uses Hansen et a. (2013) GFC data to calculate forest cover for given set of areas
Remote Sensing Lower Mekong & Mumbai using Google Earth Engine
Various examples for Google Earth Engine in Javascript
A walkthrough of some Google Earth Engine Features, as well as using the data in TensorFlow
Basic script to order data on Google Earth Engine using Python API
Machine learning based methods for satellite precipitation downscaling
This repository is a python implementation of the Harmonic ANalysis of Time Series (HANTS) applied to geographic data. The python module can be used to perform the HANTS analysis to a collection of time-variable raster data at each pixel.
Hyperspectral Image Interactive Holistic Analysis Toolkit (HiiHAT) for ENVI/IDL
My repository of IDL and ENVI scripts and programs
Climate indices for drought monitoring, community reference implementations in Python
Experiments with satellite image data
Code for training and testing deep learning based land cover models.
Land Cover Mapping
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.