Environmental Monitoring and Technology

Air and water quality sensors, satellite monitoring, drones, and AI computer vision — five articles on using technology responsibly in environmental assessment, with a focus on data quality and human oversight.

📝 5 articles · ⌛ ~36 min total reading · 🇺🇦 Українська версія
📊 Quality principle: Retain raw data, metadata, calibration records, and algorithm versions. Technology supports assessment — it does not replace reference measurements, laboratory analysis, or expert judgment.

Articles in this category

From low-cost sensors to satellites and AI — practical guidance on data quality, calibration, validation, and the limits of each monitoring technology.

Article 01
Air Quality Sensors: What They Measure and How to Interpret the Data
PM2.5/PM10, CO₂ and VOC sensors, consumer vs professional systems, placement, calibration, co-location, drift, interpreting time series, and when professional measurement is needed.
⏲ 7 min read·Foundational
Article 02
Water Quality Monitoring with Sensors: Key Parameters and Limitations
Temperature, pH, conductivity, dissolved oxygen, turbidity, continuous monitoring benefits, site selection, calibration, biofouling control, correlation models, and data quality control.
⏲ 7 min read·Intermediate
Article 03
Satellite Environmental Monitoring: Tracking Change Across Large Areas
Optical, radar, and thermal satellite data, resolution trade-offs, temporal comparison, land cover mapping, emergency applications, limitations, ground validation, reproducible workflows.
⏲ 7 min read·Intermediate
Article 04
Drones for Environmental Monitoring: Capabilities, Use Cases, and Limitations
RGB, multispectral, thermal sensors, use cases, survey design and quality, EU aviation rules, personal data protection, wildlife disturbance, photogrammetry, processing and archiving.
⏲ 7 min read·Intermediate
Article 05
Computer Vision in Environmental Protection: How AI Analyses Images
Classification, detection, segmentation, training data, annotation quality, metrics and error types, domain shift, human oversight, hazardous-material limits, responsible deployment.
⏲ 8 min read·Intermediate
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