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mbongowo
Mbongowo J Mbuh @mbongowo@mastodon.social · Jul 23, 2026
We mapped urban heat island intensification in Minneapolis–St. Paul and Chicago with 32 years of Landsat (1984–2016). The pattern is stubborn: land-cover change writes itself into surface temperature, neighborhood by neighborhood, and it compounds. Paper in Geocarto International: https://doi.org/10.1080/10106049.2019.1655802 #UrbanHeatIsland #Landsat #RemoteSensing #ClimateChange #Cities
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raumfahrttutnot
RTN @raumfahrttutnot@chaos.social · Jun 30, 2026
#Earthdata: " Little Water Left in San Carlos Reservoir OPERA's dynamic surface water extent layer and Landsat images show extremely low water levels in this Arizona reservoir in June 2026. " https://www.earthdata.nasa.gov/news/worldview-image-archive/little-water-left-san-carlos-reservoir 29.6.2026 #Arizona #CoolidgeDam #EO #Erdbeobachtung #Klimakrise #Klimawandel #Landsat #LowWater #NASA #Niedrigwasser #reservoir #SanCarlosReservoir #Sentinel2 #Staudamm #USA #Wasser #Water
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datastory
Eugene @datastory@mstdn.ca · Apr 16, 2026
Boosted by Bruce Elrick @virtuous_sloth@cosocial.ca
It is a common belief that higher elevations are naturally cooler. In pristine landscapes, this rule holds firm. But what about urban environments? Humanity moves vast amounts of matter and energy, sometimes fundamentally altering the thermodynamic parameters of our habitat. 🛰️ I correlated summer Land Surface Temperature (LST) data across Calgary’s neighborhoods with the Canadian Medium-Resolution Digital Elevation Model (MRDEM). The chart below illustrates the relationship between "Average Elevation" and "Average Surface Temperature" specifically for established residential communities. As observed, this relationship is notably weak, even though a slight cooling trend persists. Based on my data analysis, elevation above sea level is not a key factor in cooling the city. #Calgary #OpenData #UrbanHeat #DataScience #ClimateAction #YYC #GreennesOfCalgary #ClimateEquity #EnvironmentalEquity #CityPlanning #RemoteSensing #RStats #Landsat #fossgis #DigitalElevationModel
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datastory
Eugene @datastory@mstdn.ca · Mar 25, 2026
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
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