OPTION 2 The Planetary Observation Lab (Deep Dark Theme)
REGIONAL PM2.5 MEAN
41.2 µg/m³ Moderate
THERMAL HOTSPOTS TODAY
129 VIIRS/MODIS
VENTILATION COEFFICIENT
2.2 m/s (Moderate)
CALIBRATED IOT SENSORS
148 Nodes Live
ORBITAL SYNC LIVE
Planetary Atmosphere & Satellite Telemetry

Northern Thailand Atmospheric Data Observatory

A high-resolution scientific data pipeline fusing orbital satellite radiometry (Terra/Aqua/VIIRS), dense ground-sensor calibrations, and deep convective dispersion models to understand and mitigate Northern Thailand's transboundary haze crisis.

9 Provinces Northern Geographic Basin
375m VIIRS Active Fire Spatial Res
72 Hours Predictive Trajectory
Active Orbital Sweep & Atmospheric Vectors
ORBITING
HIMAWARI-9 AOD FEED WRF-CHEM VECTOR
CMU Center of Excellence Telemetry 100% OK

Planetary Atmospheric Observatory Container

Open Live

9 Northern Provinces Sensor Grid

Continuous time-series monitoring, calibrated optical density, and hotspot dispersion indices

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Big Data Pipeline & Open API Gateway

Direct endpoints and NetCDF archives for scientific research and atmospheric models

01

Orbital Radiometry Ingestion

Continuous MODIS & VIIRS fire radiative power (FRP) and AOD calibrated with Himawari-9 geostationary orbital feeds.

02

IoT Calibration & ML Correction

Over 140 ground monitoring stations calibrated dynamically against PCD reference monitors using gradient boosting for RH% correction.

03

WRF-Chem Dispersion Models

Atmospheric boundary layer height and ventilation indexing to model haze stagnation inside the Northern mountain valley basins.

Python Data Science Ingestion Example
import requests
import xarray as xr

# Stream NetCDF gridded PM2.5 spatial interpolation for Upper Northern Thailand
api_endpoint = "https://api.hazefree.com/v1/gridded/netcdf?date=latest"
ds = xr.open_dataset(api_endpoint)
print(ds["pm25_interpolated"].mean(dim=["lat", "lon"]))