https://aqicn.org/here/
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⚠️
This is an ongoing project conducted by John Miguel Co Molina (Junior Data Analyst & Operations Support), initiated on April 25, 2026. The estimated date of completion for this project is sometime in July 2026.
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Goals
- Analyze the PM2.5 levels over a specifically targeted prefecture and its health implications.
- Provide a comprehensive report for government and business stakeholders.
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Notes
- Always credit ‘ARSET - Fundamentals of Remote Sensing. NASA Applied Remote Sensing Training Program (ARSET)’ for ARSET-related content.
- Always credit Japan's Ministry of the Environment for all SORAMAME-related content.
- Include both multi-spectral and hyperspectral data for the analysis.
- Create a Nihongo version of this whole project.
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Core Framework
Applied Remote Sensing Training Program | NASA Earthdata
Open Science at NASA - NASA Science
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Steps Undertaken
Progress Log
| April 27, 2026 PHT |
Determined project goals, tools need to be used, data sources, created GitHub repository, created Notion documentation page |
| April 28, 2026 PHT |
Project Break |
| April 29, 2026 PHT |
Reviewed and revised project methodologies, data sources, tools |
| April 30 - May 7, 2026 |
Project Break |
| May 8, 2026 PHT |
Added objective to project goals: Create a video visualization of air quality trends, use NASA’s Ozone Monitoring Equipment (OMI) |
| May 9 - 17, 2026 PHT |
Spaced Learning: ARSET Training: Fundamentals of Remote Sensing |
| May 18, 2026 PHT |
Revised the project’s core goal to focus on the health implications of PM2.5 and re-determined the remote sensing and data sources to use, which are the MODIS MAIAC AOD, MISR AOD, VIIRS AOD, TROPOMI NO₂/SO₂, MERRA-2 wind, AERONET stations, SORAMAME PM2.5, and JMA wind records. Updated the project’s deadline to sometime in July 2026 and changed the author’s title from ‘Remote Operations Support & Junior Data Analyst’ to ‘Junior Data Analyst & Operations Support.’ Updated the and sections of this Notion project page. |
| May 22 - 27, 2026 PHT |
Spaced Learning: ARSET Training: Land & Coastal Systems Hyperspectral Data |
| May 28, 2026 PHT |
Spaced Learning: ARSET Training: Land & Coastal Systems Hyperspectral Data & Added Goals: Include both multi-spectral and hyperspectral data for the analysis, and create a Nihongo version of this whole project. |
| May 29, 2026 PHT - Present |
Project Break |
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Project Description
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Project Purpose & Beneficiaries
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Tools & Technology Used
Project & Documentation
- Anthropic Claude — Overall Project Assistant (Data & Output Inspection, Process Guidance)
- Notion — Process Documentation
- GitHub — Data & Code Repository
- NASA ARSET Portal — Core Framework & Methodology Guidance
- NASA Open Science 101 OSTEM LMS — Open Science Framework & Methodologies
Data Processing & Analysis
- JetBrains PyCharm — Data Cleaning, Processing & Analysis (Python)
- JetBrains DataGrip — SQL Querying & Data Aggregation
- Microsoft Excel — Data Spreadsheeting & Initial Inspection
- Google Earth Engine — Satellite Data Extraction & Preprocessing
Visualization & Reporting
- Microsoft Power BI — Data Visualization & Interactive Dashboard
- Canva — Business & Government Stakeholder Report
Live Monitoring & Reference Tools
- NASA Worldview Webtool — Remote Sensing Dataset Access & Near-Real-Time Viewing
- SORAMAME (そらまめ君) — Live Ground Station PM2.5 Monitoring & Official Validation Reference (Japan Ministry of the Environment)
- AQICN — Live Air Quality Index Map & Station-Level Readings Visualization
- IQAir — Live City-Level PM2.5 Rankings & Health Context Reference
- Windy — Live PM2.5 & Wind Transport Overlay Visualization
- Copernicus CAMS — PM2.5 Forecast & Aerosol Transboundary Transport Modelling
Remote Sensing Instruments & Satellites
- MODIS (Terra & Aqua) — Aerosol Optical Depth (AOD) via MAIAC Algorithm — Primary PM2.5 Satellite Proxy
- MISR (Terra) — Multi-Angle AOD & Aerosol Type Classification
- Sentinel-5P TROPOMI — Tropospheric NO₂, SO₂ & Aerosol Index
- VIIRS (Suomi NPP & NOAA-20) — High-Resolution AOD, Complementary to MODIS
- CALIPSO — Vertical Aerosol Profile & Altitude Measurement (Archive)
Data Sources & Ground Networks
- NASA MERRA-2 — Atmospheric Reanalysis: Wind Vectors, Humidity & Boundary Layer Height
- NASA GEOS-CF — Modelled PM2.5 Surface Concentration (Cross-Validation)
- AERONET — Ground-Based Aerosol Optical Depth Validation Network (NASA)
- SORAMAME Station Data — Hourly Surface PM2.5 & Pollutant Readings by Prefecture (Japan MoE)
- JMA (気象庁) — Wind Direction, Speed & Kosa Advisory Records (Japan Meteorological Agency)
- NIES (国立環境研究所) — Supplementary Atmospheric Datasets & Methodology Reference
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Data Sources
Data Processing & Analysis
Google Earth Engine
Live Monitoring & Reference Tools
Remote Sensing Instruments & Satellites
Data Sources & Ground Networks
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