Atmosphere from space
Satellite remote sensing of atmospheric composition, nitrogen dioxide, air quality, and environmental change.
Earth observation · environmental data science
Philipp Schneider
Senior Scientist at NILU
Satellite remote sensing, machine learning, and data fusion for air quality and environmental monitoring.
I combine satellite observations, environmental models, sensor networks, and geospatial methods to create useful evidence for cleaner, healthier environments.
Research themes
From orbital observations to local decisions
A connected research portfolio focused on atmospheric composition, environmental monitoring, and trustworthy spatial information.
Data fusion & ML
Machine learning, geostatistics, and data assimilation that bring observations and models together.
Urban-scale mapping
High-resolution, European-scale air-quality mapping for cities, policy, and public understanding.
Sensor networks
Low-cost air-quality sensors, quality control, and new ways to extend environmental monitoring.
Research record
A long view on environmental change
Metrics are a dated CV snapshot, not live counters. The chart is computed from the verified publications represented on this site.
59+peer-reviewed publications
CV snapshot, May 2026
CV snapshot, May 2026
7,800+citations
CV snapshot, May 2026
CV snapshot, May 2026
35+h-index
CV snapshot, May 2026
CV snapshot, May 2026
2006: 1 publications; 2008: 1 publications; 2009: 1 publications; 2010: 1 publications; 2011: 1 publications; 2012: 1 publications; 2014: 1 publications; 2015: 1 publications; 2018: 1 publications; 2019: 2 publications; 2021: 2 publications; 2022: 1 publications; 2023: 3 publications; 2024: 3 publications; 2025: 4 publications; 2026: 3 publications.
Selected work
Publications across methods and scales
Evaluating the role of low-cost sensors in machine learning based European PM₂.₅ monitoring
Environmental Research, 291, 123558
PM₂.₅Low-cost sensorsMachine learning
Tracking the path to cleaner cities using global urban NO₂ monitoring from space
Environmental Research Letters, 21, 094004
Satellite NO₂Urban air qualityTrends
Daily high-resolution surface PM₂.₅ estimation over Europe by ML-based downscaling of the CAMS regional forecast
Environmental Research, 264, 120363
PM₂.₅Machine learningEurope
Estimating surface NO₂ concentrations over Europe using Sentinel-5P TROPOMI observations and Machine Learning
Remote Sensing of Environment, 312, 114321
Satellite NO₂Machine learningEurope
Reassessing the role of urban green space in air pollution control
Proceedings of the National Academy of Sciences, 121, e2306200121
Urban environmentAir pollutionGreen space
Toward a Unified Terminology of Processing Levels for Low-Cost Air-Quality Sensors
Environmental Science & Technology, 53, 8485–8487
Low-cost sensorsQuality controlTerminology
Collaborative research
Current and recent projects
GreenEOCurrent
GreenEO
Using satellite data, environmental modelling, and digital tools to support sustainable land-use practices and policy decisions aligned with the European Green Deal.
2025–2029 · Co-Investigator and Work Package Lead
Satellite servicesSustainable land useEnvironmental modelling
SYLVACurrent
A System for Real-Time Observations of Aeroallergens
Developing real-time observations of aeroallergens, with satellite remote sensing contributing to improved environmental information for pollen monitoring.
2023–2026 · Satellite Remote Sensing Lead and NILU Project Manager
PollenBioaerosolsEarth observation
CitySatAirCurrent
CitySatAir
Demonstrating how satellite observations can support urban air-pollution monitoring and local decision-making.
2020–2027 · Co-Investigator, Work Package Lead, and NILU Project Manager
Urban air qualitySatellite remote sensingDemonstration
ECOMAPCompleted
ECOMAP
Applied Copernicus satellite data to strengthen Norwegian national services in greenhouse gases and air quality.
2023–2025 · Co-Investigator and Work Package Lead
CopernicusGreenhouse gasesAir quality
SPARKSCompleted
Arctic Wildfire Information System
Developed an Arctic wildfire information system using Sentinel satellite data and Copernicus services to monitor peat and forest fires at northern latitudes.
2022–2025 · Co-Investigator and Work Package Lead
WildfireArcticSentinel
Collaboration
Interested in building better environmental evidence?
I welcome research and project conversations around Earth observation, air-quality mapping, sensor networks, data fusion, and environmental applications.
Get in touch