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Photo-sharing app with liking, tagging, location maps, purchasing, etc.
Display photos from around the world onto a 3D globe.
Three + Cesium
This is project restfull api, Springboot for backend. React Native for mobile and React JS for website
POV GLOBE
this repo will contain the sourcefiles used for the application in the POV globe.
Automatically exported from code.google.com/p/pov-globe
PoV globe
teensy powered pov globe
ATmega328 POV globe project
The 1B awesome POV globe
pov globe esp32
Globe a persistence retinienne basé sur des leds WS2812B
Blue Marble Enterprise POV Globe
Arduino based POV Globe
The official home of the Presto distributed SQL query engine for big data
AndroidCapture For Processing
Vue + Cesium 前端案例,作者:张李君
A social platform for sharing geotagged photos and messages
Prediction of rainfall which varies both spatially and temporally is extremely challenging. Infrared and visible spectral data from satellites have been extensively used for rainfall prediction. In this study, two deep learning methods MLP and LSTM are discussed at length for predicting precipitation at a fine spatial (10km × 10km) and temporal (hourly) resolution for the state of Gujarat. These methods are applied by using the multispectral (VIS, SWIR, MIR, WV, TIR1, TIR2) channel data such as cloud top temperature and radiance values of the INSAT-3D satellite (ISRO) as features for the model. Textural features of satellite images are incorporated by considering mean and standard deviation of each pixel’s neighbourhood. Rainfall also heavily depends on the elevation and vegetation of earth’s surface so we have used SRTM DEM and AWIFS NDVI respectively. Measurements of actual rainfall are obtained from AWS (point source stations) and TRMM (10km × 10km resolution). First dataset contains only TIR1 band temperature and AWS rainfall data for training but the second dataset includes multispectral channel data and TRMM rainfall data which brought about great improvement in results. For each data- set, a comparison between MLP and LSTM models is discussed here. We were able to classify the rainfall into nil (0mm), low ( < 2mm), medium ( > = 2mm and < 5mm) and high ( > = 5 mm) with a high accuracy. Metrics like accuracy, precision, recall and fscore have been computed to get better insights about the dataset and its corresponding outcome. Our results show that LSTM performs significantly better than MLP for any given balanced class data-sets.
Program takes in zip code and satellite is inputs and sends alert via LED flash, standard audio output, and sms text message 15 minutes before a viewable event. Uses weather and satellite API to calculate visibility.
Visualizing, exploring, filtering and printing geographic data and geotagged photos and video
A small augmented reality demo built using React Native. This shows pins over a camera feed using location services and device sensors for pose estimation.
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.