Next Sequence Prediction of Satellite Images using Neural Networks
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Updated
Aug 12, 2020 - Python
Next Sequence Prediction of Satellite Images using Neural Networks
Sentinel-5P: Processing and handling NO2 measured values in R
A web player for customized animation of satellite images, developed for ISRO as part of Smart India Hackathon 2018
Source code for the paper "HyPhAICC v1.0: a hybrid physics–AI approach for probability fields advection shown through an application to cloud cover nowcasting".
Track migraine weather triggers including low barometric pressure and high cloud cover. Written in Arduino (C++) for use with ESP8266, MPL115A2 sensor, and a tri-color LED. Uses API calls. Sends data via MQTT for lightweight IoT messaging with publish and subscribe functionality.
Small project on deriving fog percentages by month from GOES-16 satellite data in Google Earth Engine using JavaScript
determine best time to use the washing machine ;-)
Repository for a data science competition on cloud cover detection in aerial images
A tool for analyzing cloud coverage over any brazilian location based on Sentinel-2 data.
Use this weather model if you care about Cloud Cover percentage as well as Cloud Heights. Created by extracting METAR data from weather stations.
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