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Type: User
Company: Nanjing University
Type: User
Company: Nanjing University
2021 NASA Cloud Hackathon co-hosted by PODAAC, NSIDC and LPDAAC, with support provided by ASDC, GESDISC, IMPACT and NASA Openscapes.
NASA Openscapes AGU Workshop SCIWS31 - Enabling Analysis in the Cloud Using NASA Earth Science Data
2022 virtual workshop on accessing and analyzing synthetic SWOT L2 SSH datasets in preparation for SWOT launch, hosted by NASA PO.DAAC.
Notebooks and documentation for AI-for-Earth-managed datasets on Azure
We uploaded the code based on artificial surface mapping v1.0. We renamed the artificial surface to built-up areas. This uploaded code can process batch images.
Classification models trained on ImageNet. Keras.
Algorithm for COntinuous monitoring of Land Disturbance (COLD) using Landsat time series. It can detect many kinds of land disturbance continuously as new images are collected and provide historical land disturbance maps retrospectively.
Python scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"
a deep model that segments water on multispectral images
Utilities for DEM and point cloud co-registration
Python for GIS and Geoscience - specialist course Doctoral schools of Ghent University
This repo contains interactive code examples from the 2021 book "Earth Observation Using Python."
Jakarta Research Earth Observatory - Library
Python client for NASA CMR
A tutorial book of workflows for research using NASA EarthData in the Cloud created by the NASA-Openscapes team
Earth observation processing framework for machine learning in Python
A Python package to create, run, and post-process MODFLOW-based models.
UW Geospatial Data Analysis Course
Python Geospatial Data Analysis Course offered at UW during winter 2020
Creates an analysis ready sentinel-1 SAR image collection in Google Earth Engine by applying additional border noise correction, speckle filtering and radiometric terrain normalization.
A Jupyter notebook extension for geospatial visualization and analysis
Course materials for: Geospatial Data Science
A Python package for hierarchical building detection developed under Query Planet CCN3
Implementation of the HYMOD rainfall-runoff model in Python and Julia
Code to process ICESat-2 ATL03 photon returns into refraction corrected bathymetry and collocate the data to reflectance values from Landsat 8 multispectral data (Processed in the SeaDAS program) to interpolate depth in optically shallow water.
ICESat-2 Hackweek 2022 landing page and jupyter book
Code for spatially and temporally generalizable regional 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.