#environmentalmonitoring

2026-01-14

Hệ thống giám sát Bắc Cực ứng dụng AI cung cấp nhận thức thời gian thực cho quốc phòng, bảo vệ môi trường và nghiên cứu khoa học. Xử lý dữ liệu cảm biến và theo dõi tàu với độ chính xác cao, phát hiện bất thường (>95%) và hỗ trợ ra quyết định tức thì. Xây dựng chỉ trong một cuối tuần, dùng Polars/Pandas cho xử lý hiệu năng cao.

#AI #Arctic #EnvironmentalMonitoring #DefenseTech #ClimateChange #TríTuệNhânTạo #BảoVệMôiTrường #KhoaHọcDữLiệu

reddit.com/r/SideProject/comme

2025-12-30

The Future of Pollution Monitoring Will Be Seen From Above
Plastic waste and chemical pollution don’t stay in one place.
know more:zurl.co/D3EP3#AIVision
#AIVision #PollutionTracking #EnvironmentalMonitoring #DroneImaging #AerialVision #PlasticPollution #ChemicalDetection

Local Hazelocalhaze
2025-12-10

The latest blog post from AirGradient spotlights Local Haze! Read the blog post by Ethan Brooke here: airgradient.com/blog/local-haz

Local Haze app on iPhone and Apple Watch
2025-11-26

Liên quan đến thông tin về việc các nhà máy điện rác ở Hà Nội không có số liệu quan trắc, đại diện cơ quan chức năng đã lên tiếng.

Lãnh đạo Trung tâm Kỹ thuật Nông nghiệp và Môi trường Hà Nội khẳng định tất cả các nhà máy điện rác đều phải thực hiện quan trắc online 24/24. Dữ liệu này được truyền trực tiếp về cơ quan quản lý để giám sát chặt chẽ.

#ĐiệnRác #HàNội #QuanTrắcMôiTrường #TinTức
#WasteToEnergy #Hanoi #EnvironmentalMonitoring #Vietnam

vietnamnet.vn/thuc-hu-nha-may-

Yonhap Infomax Newsinfomaxkorea
2025-11-20

South Korea confirmed no abnormal uranium or heavy metal levels in its waters in November, following regular monitoring amid concerns over North Korea's Pyongsan uranium plant wastewater discharge.

en.infomaxai.com/news/articleV

2025-11-18

Comparison of the median-seasoned NDVI for central Calgary: 2024 vs 2025

Here is a side-by-side look at how the vegetation conditions in central Calgary changed between two years, using median-seasoned NDVI maps derived from Sentinel-2 imagery.

You can clearly see the interannual differences in greenness — especially in parks, riparian zones, and residential areas with large tree cover.
The spatial patterns remain stable, but 2025 shows noticeably higher NDVI in many neighbourhoods due to more favourable moisture conditions.

This is part of my ongoing project on analyzing the vegetation dynamics of Calgary communities: #GreennessOfCalgary

#RemoteSensing #EarthObservation #NDVI #Sentinel2 #Calgary #UrbanEcology #GIS #RStats #DataAnalysis #EnvironmentalMonitoring #Copernicus #Alberta #Canada #YYC #UrbanHealth #QGIS #FOSS

Side-by-side comparison of median-seasoned NDVI maps for central Calgary for 2024 (left) and 2025 (right).
Map colours show NDVI values from −0.2 to 1.0.
Higher NDVI (green–blue) marks greener vegetation; lower NDVI (red–brown) marks sparse or stressed vegetation.
The 2025 map shows generally higher NDVI across many areas.
2025-11-18

In the distant 2016, when I was a member of an environmental NGO in Kryvyi Rih (Ukraine), I started using satellite Earth Observation data to monitor the condition of large industrial tailings ponds.

At that time, environmental regulations required these storage facilities to be either flooded or at least kept moist to prevent dust storms.
Industrial operators often ignored these rules, leaving huge dry surfaces exposed — which created massive dust pollution affecting nearby communities.

Using Sentinel-2 and Landsat-8 imagery with false-color composites, I developed a simple but effective method to map dry, moist, and water-covered zones of tailings ponds.

Local residents and journalists were absolutely delighted! Industrial companies, on the other hand… reacted very differently 🤣

These maps are from 2016–2017 and show several tailings facilities around #KryvyiRih.

#RemoteSensing #EarthObservation #Sentinel2 #OpenData #EnvironmentalMonitoring
#Tailings #Mining #DustPollution #GIS #QGIS #Ukraine #Landsat

СУХО → DRY
ЗВОЛОЖЕНО → MOIST
ВОДА та КРИГА → WATER & ICE
Moisture conditions of the CGZK tailings storage facility.
Sentinel-2A image from 1 March 2017.
Spectral composite: bands 12, 8, and 3.
Atmospheric correction: DOS-1.Moisture conditions of the Northern Mining & Processing Plant (PivnGZK) tailings storage facility.
Sentinel-2A image from 31 March 2017.
Spectral composite: bands 12, 8, and 3.
Atmospheric correction: DOS-1.Water-filling conditions of the Northern Mining & Processing Plant (PivnGZK) tailings storage facility.
Sentinel-2A image from 19 October 2016.
Spectral composite: bands 12, 8, and 3.
Atmospheric correction: DOS-1.
2025-11-17

🌿 Greenness of Calgary Communities (Summer 2024)
📎 datastory.org.ua/greenness-of-

Last year I published my first attempt to analyze the actual vegetation condition across Calgary and to build a data-driven ranking of its communities based on median summer NDVI. It was my very first experiment in assessing urban greenness at the neighbourhood scale — but the results turned out surprisingly insightful.
Some patterns were expected, while others revealed unexpectedly low vegetation density in places that looked green from the ground.

This exploration later grew into a much larger line of research on Calgary’s greenness, climate resilience, and spatial variability in vegetation health. You can find some results here with thematic hashtag #GreennessOfCalgary

If you're working on urban ecology, remote sensing, or land-cover analysis of Canadian cities — I’d be happy to exchange ideas.

#NDVI #RemoteSensing #Calgary #UrbanEcology #Sentinel2 #QGIS #RStats #Alberta #Canada #EnvironmentalMonitoring #GeospatialAnalysis

Median summer's NDVI across Calgary (mid-May - mid-September 2024)
2025-11-15

Here is the city-wide map of ΔNDVI for Calgary — the difference between the median summer NDVI (mid-May to mid-September) in 2024 vs 2025.

As in the previous post, the signal is quite clear:
2025 shows a systematic increase in vegetation index across almost the entire city, but some areas showing a decrease.

This pattern is consistent with what I see in the frequency distributions of median NDVI:
2025 has a broader, greener distribution — likely reflecting better moisture conditions and a more favourable growing season.

Working with ΔNDVI on a pixel-by-pixel scale (10 × 10 m) offers a much more detailed picture of how vegetation responds spatially, compared with community-level averages or city-wide summaries.

#NDVI #Sentinel2 #RemoteSensing #Calgary #GreennessOfCalgary #GIS #Rstats #DataAnalysis #ESA #UrbanEcology #Copernicus #CopernicusSentinel #SustainableDevelopment #SustainableUrbanDevelopment #Alberta #Canada #EnvironmentalMonitoring #GIS #Geospatial

ΔNDVI Map for Calgary (median summer NDVI difference, 2024 → 2025).
Green areas = NDVI increase; Red areas = NDVI decrease.
Based on Sentinel-2 data (10 m resolution).
2025-11-13

Wildfires in Dnipropetrovsk region: a one-week satellite chronicle (2018)
(In Ukrainian: Дніпропетровщина у вогні: тижнева космічна хроніка)
A short look at how quickly landscapes can change when dry vegetation is intentionally burned.

The main goal of the article was to draw attention to this destructive and widespread local practice of setting dry biomass on fire.

Using Sentinel-2 imagery, I documented how almost 3,000 hectares of land were burned within just one week.
The full article contains many more satellite images and comparisons.

👉 Full article (in Ukrainian): datastory.org.ua/%d0%b4%d0%bd%

Intentional burning of dry biomass remains a serious ecological problem in many regions: it destroys soil, steppe ecosystems, and increases erosion and air pollution.
Remote sensing helps make this damage visible — and documented.

#RemoteSensing #Sentinel2 #GIS #Wildfire #Ukraine #EarthObservation #Copernicus #EnvironmentalMonitoring #Dnipropetrovsk #OpenData #QGIS

Large steppe wildfire near Bozhedarivka settlement council, Krynychanskyi district.
Sentinel-2 natural color and NIR/SWIR composites.Burned-out areas on the border of the Dmytrivka village council, Verkhnodniprovskyi district.
Sentinel-2, April 7 vs April 10, 2018.
2025-11-13

‘Uncontrolled experiment:’ Study links harmful atmospheric metals to spacecraft reentry

fed.brid.gy/r/https://spacenew

2025-11-09

🌳 Random Forests and Living Trees

English translation of my earlier article on applying satellite imagery and machine learning to map urban land cover.

What started as a local research project in Kryvyi Rih turned into something much larger — the results sparked a heated discussion among residents, officials, and industry representatives about the real condition of green buffers around large industrial sites.

The methodology developed during that work is still being used today — adapted for new environmental and urban projects.

🔗 datastory.org.ua/random-forest

#RemoteSensing #MachineLearning #LandCoverMapping #UrbanEcology #EnvironmentalMonitoring #RandomForest #GeospatialAnalysis #GIS #RStats #SAGAGIS #QGIS #IndependentResearch #OpenSource #EnvironmentalDataScience #KryvyiRih #LULC

Map of Kryvyi Rih showing land cover classification (2017) produced with Sentinel-1A, Sentinel-2A, and Landsat-8 data using the Random Forest algorithm in R. Green areas indicate vegetation; red tones show industrial and built-up zones.
2025-11-09

🌿 NDVI change in Calgary’s Weaselhead Flats (2024 → 2025)

This map shows how vegetation in one of Calgary’s most diverse natural areas responded to the city’s unusually wet summer of 2025.
Greener shades mark zones where NDVI increased most strongly compared to 2024 — the same floodplain and forest patches that locals know for dense canopy recovery.

Even modest year-to-year shifts in temperature and rainfall leave clear spatial traces in NDVI — a reminder of how sensitive urban ecosystems are to climate variability, and how well open-data satellite products can capture it.

🛰 Data and processing: Sentinel-2 + R + QGIS

#NDVI #RemoteSensing #Calgary #UrbanEcology #ClimateImpact #EnvironmentalMonitoring #GIS #QGIS #RStats #DataVisualization #GeospatialAnalysis #Sentinel2 #CopernicusSentinel2 #CopernicusProgram #Copernicus #GreennessOfCalgary #Alberta #Canada

Map of NDVI change (ΔNDVI) for the Weaselhead Flats area in Calgary, showing differences between summer 2025 and summer 2024. Warm tones (yellow-red) mark low or negative change, while green tones highlight stronger vegetation recovery along river channels, floodplains, and wetlands.
2025-11-08

New instance, new #introduction

#BookConservation
#PaperConservation
Heritage #EnvironmentalMonitoring
#Exhibitions
#MedievalManuscripts
#GLAM
#Naps
#Reading
#Travel
#Introvert
#Cake

Masking in public. Public transport over car driving with acknowledgement that some people need a car. Twitter alumni from the early exodus. Love heist films. American and English languages with a few other basics under the tongue: Italian, Spanish, Swahili, Japanese. Best trip ever was Antarctica.

2025-11-07

🛰️ Land-cover classification with Sentinel-1 & Sentinel-2 — validated and working

My machine-learning model for land-cover classification has shown very high accuracy (both overall and per-class).
It was trained on multi-temporal Sentinel-1/2 data over one of Ukraine’s largest mining and industrial areas.

The model now serves as a base for analysing environmental dynamics and supporting real-world sustainability decisions.
Bridging #RemoteSensing with #EnvironmentalData and #GeospatialAnalytics — where research meets practice.

#MachineLearning #EarthObservation #GIS #DataScience #EnvironmentalMonitoring #Sustainability #OpenScience #Ukraine #RStats #LandCover #Copernicus #CopernicusSentinel

Confusion matrix for #RandomForest classifierPer-class accuracy of #RandomForest classifier
Ingvar Santrysantry
2025-10-19

It sounds like a curiosity, but the sensitivity of Unio tumidus to pollution pmc.ncbi.nlm.nih.gov/articles/ is used by more than 50 water treatment plants across Poland. The mollusks control the water supply for 10 million people. Similar systems operate in the US (for example, in Minneapolis) cbsnews.com/minnesota/news/mus and other countries.

Zoomers of the Sunshine Coast 🇨🇦SCZoomers@mstdn.ca
2025-10-09

The breakthrough: AlphaEarth Foundations compresses every 10x10m of Earth into 64 numbers—a semantic fingerprint capturing meaning, not pixels.

• 16x storage efficiency •
24% lower errors
• Sees through clouds via multi-sensor fusion
• 2017-2024 coverage, freely available

#EnvironmentalMonitoring #MachineLearning

2025-09-27

📖 'Monitoring heavy metals and their impact on animal health' - an article in the @EDPSciences UN #SDGs research collection on #ScienceOpen 🔗 scienceopen.com/document?vid=9

#HeavyMetals #AnimalHealth #EnvironmentalMonitoring #OneHealth

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