Honoring Alex Goetz, a Landsat Legend
Honoring Alex Goetz, a Landsat Legend
Проект «Уровень-Спутник» или как мы сделали платформу для гидрологов
Как мы сделали сервис, который подбирает спутниковые снимки под уровень воды на гидропосту Всем привет. Меня зовут Александр Иннокентьев, и уже больше года мы с моим коллегой Павлом Головлевым делаем веб-инструмент для гидрологов под названием «Уровень-Спутник».
💻 I took several completely independent datasets and "pitted" them against each other. One of the results is shown in this chart: the more "concrete" (roads, buildings, parking lots) my machine learning model identified in a community, the higher the surface temperature recorded by the thermal sensor.
🔥 The result: Data from different sources confirm one another. The difference in surface temperature between "green" and "concrete" residential areas averages 8–10°C throughout the summer. On certain days, this gap is likely even wider.
📉 This chart shows only established residential communities. If industrial zones were included, the trend would be even more dramatic. While modeling errors certainly exist, the overall physical pattern is undeniable.
#Calgary #OpenData #UrbanHeat #LULC #DataScience #ClimateAction #YYC #GreennesOfCalgary #ClimateEquity #EnvironmentalEquity #CityPlanning #MachineLearning #RemoteSensing #RStats #Sentinel1 #Sentinel2 #Landsat #fossgis
Landsat Reveals Reservoir Changes and Bathymetry
How hot was Calgary's neighborhood in 2025? 🛰️🌡️
I processed satellite data from last summer to see how Calgary’s communities handle the heat. It turns out that not all greenery is equal. My research shows a clear "breakpoint" where the density of vegetation actually starts to drop the surface temperature.
I’ve mapped the "Hottest" and "Coolest" communities — see where yours stands and why some "green" areas are still overheating.
Full article and maps here:
https://www.datastory.org.ua/calgarys-summer-heat-a-2025-satellite-perspective/
#RemoteSensing #Rstats #GreennesOfCalgary #ClimateOfCalgary #OpenData #FOSSGIS #ClimateResilence #Landsat #Sentinel2 #Calgary #Alberta #Canada #YYC #LST #NDVI
To distinguish between "normal" and anomalous surface temperatures in Calgary in 2025, I applied Tukey’s method. The statistical distribution shows a negative skewness (coefficient ≈−0.59).
This highlights a critical phenomenon: the vast majority of the urban area is densely clustered in the warmer temperature range. In contrast, cool refuges (the rivers, reservoir, and dense parks) are statistically scarce, forming a long "tail" on the left side of the plot. In essence, Calgary’s baseline is shifted toward higher temperatures, making Urban Cool Islands a rare and vital resource.
I would like to remind my readers and followers that I am currently preparing a comprehensive article based on these research results. In it, I will explore the ecological and geochemical implications of this thermal distribution. Stay tuned for further updates!
#YYC #Calgary #ClimateResilience #UrbanHeatIsland #DataAnalytics #RemoteSensing #Landsat #OpenData #CitizenScience #LST #ClimateOfCalgary #Landsat #Rstats