Python scripts to download and preprocess air pollution concentration level data aquired from the Sentinel-5P mission
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Updated
Jul 7, 2021 - Python
Python scripts to download and preprocess air pollution concentration level data aquired from the Sentinel-5P mission
Python package to get and transform PurpleAir data
A spatiotemporal causal convolutional network for predicting PM2.5 concentrations.
A spatiotemporal causal convolutional network for predicting PM2.5 concentrations.
Detects PM2.5 levels based on daily atmospheric conditions
Emissions Spatial and Temporal Allocator model
Gridded Aircraft Trajectory Emissions model
Python Wrapper for the sensirion SPS030 Particulate Matter (PM) sensor
A minimal python interface for PMS7003 PM sensor
Exploring the effect of COVID-19 in air pollution by using satellite data, with the sentinelsat and cartopy libraries.
Python wrapper for the honeywell-hpma115s0 particulate matter sensor
☁Air pollution visualization and forecasting platform based on Flask and TensorFlow
Low cost air quality monitoring
This repository inclludes a deep learning model for predicting the air pollution value for the next hour based on the pollution data of past 1 year hour by hour. The dataset contains reports on the weather and the level of pollution each hour for five years at the US embassy in Beijing, China.
A Python module to import data from the UK Automatic Urban Rural Network (air pollution monitoring network)
Normalising meteorology on air quality data
Using NYC Taxi Data as a Predictor of Urban Air Quality
This repo contains all analyses conducted, and services created, by CAN.
Docker image for deployment of Apolline software stack.
An air quality monitoring app. Reads data from a particulate matter (PM 10 & PM 2.5) sensor and publishes values to a graphing API (adafruitio).
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