Environmental data for a new world
Thoughtfully curated environmental data points.
Blue Sky Products
Displaying 5 datasets.
Air quality data from the ground monitor network in India
Data Family
Breezo
Temporality
Daily
Spatial res.
N/A
Availability
Since 2017
Parameters
Carbon Monoxide
Nitrogen Oxide
PM 2.5
PM 10
Sulphur Dioxide
Ozone
Methodology
We aggregated all publicly available pollution control monitors in India. They primarily come from two sources - the Central Pollution Control Board and the American Embassies.
PM 2.5 data by combining ground observation & satellite data
Data Family
Breezo
Temporality
Daily
Spatial res.
1 sq. km
Availability
Since 2019
Parameters
PM 2.5
PM 10
Methodology
Breezo SmartAQ uses machine learning and combines realtime ground observation for more than 250 Central Pollution Control Board air quality sensors with near real time satellite data (such as aerosols optical depth and weather) to provide a continuous spatiotemporal map for PM2.5 and PM10.
Aggregated Greenhouse Gas emissions associated with biomass burning
Data Family
Zuri
Temporality
Daily
Spatial res.
375 x 375 m
Availability
Since 2015
Parameters
Number of Fires
Fire Radiative Power
Carbon Dioxide Emissions
Methodology
GHG Emissions links satellite based fire observation with aerosol optical depth (AOD) and vegetation type to directly estimate how much CO2 was emitted from each fire event which is also aggregated.
Forecasts PM2.5 and PM10 for next 24 hours for all ground stations.
Data Family
Breezo
Temporality
Daily
Spatial res.
N/A
Availability
Forecast data for 24 hours
Forecasts probable biomass fire events
Data Family
Zuri
Temporality
Daily
Spatial res.
10 km
Availability
Forecast data for next 2 days
Parameters
Fire count
Methodology
Fire Count Prediction uses machine learning to forecast probable fire events. It does so by ingesting information such as weather, fuel type, vegetation indices, past fire events for each grid.
