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Documentation and samples for ArcGIS API for Python
Code for shapefile generation
We propose Compressive Sensing and Deep Learning framework (CS-DL) for multiple satellite sensor based data fusion. Itβs aims to improve spatial and temporal resolution for long term analysis. Compressive Sensing is used as an initial guess to combine data from multiple sources. Deep Learning model, using Long Short Term Memory Neural Network (LSTM/RNN) refines and further improves the resulting data fusion output from CS. Our CS-DL framework has been tested to fuse CO2 from the NASA Orbiting Carbon Observatory-2 (OCO-2) and the JAXA Greenhouse gases from Orbiting Satellites (GOSAT). It achieves lower errors and high correlation compared with the original data. This work demonstrates the use of CS-DL for fusing CO2 from NASA Orbiting Carbon Observatory-3 and GOSAT2 at higher resolution.
Lets detect lines in the air
This repository hosts Jupyter notebook tutorials on the Copernicus Climate Change (C3S) and Atmosphere Monitoring (CAMS) Services.
Road network extraction from satellite imagery, with speed and travel time estimates
A Pytorch implementation of DeepCrack and RoadNet projects.
a deep model that segments water on multispectral images
Notebooks for learning deep learning
GDAL is an open source X/MIT licensed translator library for raster and vector geospatial data formats.
My very first Github repo
Interpolation in D-dimensional spaces using inverse distance weighted, k-nearest neighbours
Marine debris detection with commercial satellite imagery and deep learning.
interactive notebooks from Planet Engineering
Convert OCO-2 data to single variable raster
This is a full reading list of books for 2020
Road Detection in satellite imagery.
Algorithm trials for road extraction
Detection and classification of roads in satellite images
RoadNet: A Multi-task Benchmark Dataset for Road Detection, TGRS.
Image processing in Python
Road Detection from satellite images using U-Net.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.