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#ndvi — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #ndvi, aggregated by home.social.

  1. 7/
    5. The Paradox of Greening

    Satellite tracking measures a massive increase in the Normalized Difference Vegetation Index (NDVI), meaning the Arctic is getting visibly greener. However, this greening is not an environmental victory. The incoming dark tree canopies and tall shrubs destroy the snow's high albedo effect; instead of reflecting sunlight back into space, they act as a dark thermal sponge.

    youtu.be/loRR-H4lTC8

    #Arctic
    #ClimateChange
    #GlobalWarming
    #NDVI

  2. 7/
    5. The Paradox of Greening

    Satellite tracking measures a massive increase in the Normalized Difference Vegetation Index (NDVI), meaning the Arctic is getting visibly greener. However, this greening is not an environmental victory. The incoming dark tree canopies and tall shrubs destroy the snow's high albedo effect; instead of reflecting sunlight back into space, they act as a dark thermal sponge.

    youtu.be/loRR-H4lTC8

    #Arctic
    #ClimateChange
    #GlobalWarming
    #NDVI

  3. 7/
    5. The Paradox of Greening

    Satellite tracking measures a massive increase in the Normalized Difference Vegetation Index (NDVI), meaning the Arctic is getting visibly greener. However, this greening is not an environmental victory. The incoming dark tree canopies and tall shrubs destroy the snow's high albedo effect; instead of reflecting sunlight back into space, they act as a dark thermal sponge.

    youtu.be/loRR-H4lTC8

    #Arctic
    #ClimateChange
    #GlobalWarming
    #NDVI

  4. 7/
    5. The Paradox of Greening

    Satellite tracking measures a massive increase in the Normalized Difference Vegetation Index (NDVI), meaning the Arctic is getting visibly greener. However, this greening is not an environmental victory. The incoming dark tree canopies and tall shrubs destroy the snow's high albedo effect; instead of reflecting sunlight back into space, they act as a dark thermal sponge.

    youtu.be/loRR-H4lTC8

    #Arctic
    #ClimateChange
    #GlobalWarming
    #NDVI

  5. 7/
    5. The Paradox of Greening

    Satellite tracking measures a massive increase in the Normalized Difference Vegetation Index (NDVI), meaning the Arctic is getting visibly greener. However, this greening is not an environmental victory. The incoming dark tree canopies and tall shrubs destroy the snow's high albedo effect; instead of reflecting sunlight back into space, they act as a dark thermal sponge.

    youtu.be/loRR-H4lTC8

    #Arctic
    #ClimateChange
    #GlobalWarming
    #NDVI

  6. Remote Sensing And GIS-Supported Framework Of Pre-Monsoon Drought Assessment In Bangladesh (2000–2022) Using CHIRPS-Based SPI-3 And MODIS-Derived Vegetation And Temperature Indices
    --
    doi.org/10.1007/s12665-026-128 <-- shared paper
    --
    H/T MD. ABDULLAH AL MAMUNM | Studying PhD in Rural and Environmental Sciences
    “১ বছর ২০ দিন লেগে গেল! প্রথম ৪ জন রিভিউয়ারের প্রায় ৫০+ কমেন্টের পর মনে হয়েছিল আর এগোব না। তবে আমার সুপারভাইজার বলেছিলেন, “রিজেকশনের চেয়ে কমেন্ট ফেস করা ভালো।”
    --
    #GIS #spatial #mapping #remotesensing #Bangladesh #earthobservation #water #hydrology #premoonsoon #moonsoon #drought #CHIRPS #MODIS #SPI #vegetation #temperature #indices #parameters #SPI #NDVI #VCI #TCI #VHI #monitoring #droughts #agriculture #farming #crop #cultivation #yield #foodsecurity #weather #rainfall #precipitation #Pearsoncorrelation #geostatistics #irrigation #watersecurity #foodsecurity #policy #planning

  7. Remote Sensing And GIS-Supported Framework Of Pre-Monsoon Drought Assessment In Bangladesh (2000–2022) Using CHIRPS-Based SPI-3 And MODIS-Derived Vegetation And Temperature Indices
    --
    doi.org/10.1007/s12665-026-128 <-- shared paper
    --
    H/T MD. ABDULLAH AL MAMUNM | Studying PhD in Rural and Environmental Sciences
    “১ বছর ২০ দিন লেগে গেল! প্রথম ৪ জন রিভিউয়ারের প্রায় ৫০+ কমেন্টের পর মনে হয়েছিল আর এগোব না। তবে আমার সুপারভাইজার বলেছিলেন, “রিজেকশনের চেয়ে কমেন্ট ফেস করা ভালো।”
    --
    #GIS #spatial #mapping #remotesensing #Bangladesh #earthobservation #water #hydrology #premoonsoon #moonsoon #drought #CHIRPS #MODIS #SPI #vegetation #temperature #indices #parameters #SPI #NDVI #VCI #TCI #VHI #monitoring #droughts #agriculture #farming #crop #cultivation #yield #foodsecurity #weather #rainfall #precipitation #Pearsoncorrelation #geostatistics #irrigation #watersecurity #foodsecurity #policy #planning

  8. Remote Sensing And GIS-Supported Framework Of Pre-Monsoon Drought Assessment In Bangladesh (2000–2022) Using CHIRPS-Based SPI-3 And MODIS-Derived Vegetation And Temperature Indices
    --
    doi.org/10.1007/s12665-026-128 <-- shared paper
    --
    H/T MD. ABDULLAH AL MAMUNM | Studying PhD in Rural and Environmental Sciences
    “১ বছর ২০ দিন লেগে গেল! প্রথম ৪ জন রিভিউয়ারের প্রায় ৫০+ কমেন্টের পর মনে হয়েছিল আর এগোব না। তবে আমার সুপারভাইজার বলেছিলেন, “রিজেকশনের চেয়ে কমেন্ট ফেস করা ভালো।”
    --
    #GIS #spatial #mapping #remotesensing #Bangladesh #earthobservation #water #hydrology #premoonsoon #moonsoon #drought #CHIRPS #MODIS #SPI #vegetation #temperature #indices #parameters #SPI #NDVI #VCI #TCI #VHI #monitoring #droughts #agriculture #farming #crop #cultivation #yield #foodsecurity #weather #rainfall #precipitation #Pearsoncorrelation #geostatistics #irrigation #watersecurity #foodsecurity #policy #planning

  9. Remote Sensing And GIS-Supported Framework Of Pre-Monsoon Drought Assessment In Bangladesh (2000–2022) Using CHIRPS-Based SPI-3 And MODIS-Derived Vegetation And Temperature Indices
    --
    doi.org/10.1007/s12665-026-128 <-- shared paper
    --
    H/T MD. ABDULLAH AL MAMUNM | Studying PhD in Rural and Environmental Sciences
    “১ বছর ২০ দিন লেগে গেল! প্রথম ৪ জন রিভিউয়ারের প্রায় ৫০+ কমেন্টের পর মনে হয়েছিল আর এগোব না। তবে আমার সুপারভাইজার বলেছিলেন, “রিজেকশনের চেয়ে কমেন্ট ফেস করা ভালো।”
    --
    #GIS #spatial #mapping #remotesensing #Bangladesh #earthobservation #water #hydrology #premoonsoon #moonsoon #drought #CHIRPS #MODIS #SPI #vegetation #temperature #indices #parameters #SPI #NDVI #VCI #TCI #VHI #monitoring #droughts #agriculture #farming #crop #cultivation #yield #foodsecurity #weather #rainfall #precipitation #Pearsoncorrelation #geostatistics #irrigation #watersecurity #foodsecurity #policy #planning

  10. Remote Sensing And GIS-Supported Framework Of Pre-Monsoon Drought Assessment In Bangladesh (2000–2022) Using CHIRPS-Based SPI-3 And MODIS-Derived Vegetation And Temperature Indices
    --
    doi.org/10.1007/s12665-026-128 <-- shared paper
    --
    H/T MD. ABDULLAH AL MAMUNM | Studying PhD in Rural and Environmental Sciences
    “১ বছর ২০ দিন লেগে গেল! প্রথম ৪ জন রিভিউয়ারের প্রায় ৫০+ কমেন্টের পর মনে হয়েছিল আর এগোব না। তবে আমার সুপারভাইজার বলেছিলেন, “রিজেকশনের চেয়ে কমেন্ট ফেস করা ভালো।”
    --

  11. 🏡 Here is the data analysis for Calgary, Summer 2025. This chart shows the relationship between vegetation density (NDVI) and Land Surface Temperature (LST).

    🔥 The data reveals a critical "tipping point": vegetation only starts effectively cooling the environment once it reaches a specific density threshold. Below this threshold (the left side of the curve), green spaces stay just as hot as the surrounding concrete.
    Sparse or isolated trees don't act as air conditioners—they "burn" in the urban furnace right along with us.

    ❗ What does this mean for Calgary? Simply planting a few scattered trees isn't enough. To actually move the needle on temperature, we need dense, healthy green belts. Otherwise, it’s just a waste of water and resources.

    🔗 Link to the research: datastory.org.ua/calgarys-summ

    #Calgary #UrbanHeatIsland #NDVI #ClimateChange #UrbanPlanning #DataScience #Environment #YYC #BigData #ScienceMatters #GreennessOfCalgary #ClimateOfCalgary #rstats #RemoteSensing #OpenScience

  12. 🏡 Here is the data analysis for Calgary, Summer 2025. This chart shows the relationship between vegetation density (NDVI) and Land Surface Temperature (LST).

    🔥 The data reveals a critical "tipping point": vegetation only starts effectively cooling the environment once it reaches a specific density threshold. Below this threshold (the left side of the curve), green spaces stay just as hot as the surrounding concrete.
    Sparse or isolated trees don't act as air conditioners—they "burn" in the urban furnace right along with us.

    ❗ What does this mean for Calgary? Simply planting a few scattered trees isn't enough. To actually move the needle on temperature, we need dense, healthy green belts. Otherwise, it’s just a waste of water and resources.

    🔗 Link to the research: datastory.org.ua/calgarys-summ

    #Calgary #UrbanHeatIsland #NDVI #ClimateChange #UrbanPlanning #DataScience #Environment #YYC #BigData #ScienceMatters #GreennessOfCalgary #ClimateOfCalgary #rstats #RemoteSensing #OpenScience

  13. 🏡 Here is the data analysis for Calgary, Summer 2025. This chart shows the relationship between vegetation density (NDVI) and Land Surface Temperature (LST).

    🔥 The data reveals a critical "tipping point": vegetation only starts effectively cooling the environment once it reaches a specific density threshold. Below this threshold (the left side of the curve), green spaces stay just as hot as the surrounding concrete.
    Sparse or isolated trees don't act as air conditioners—they "burn" in the urban furnace right along with us.

    ❗ What does this mean for Calgary? Simply planting a few scattered trees isn't enough. To actually move the needle on temperature, we need dense, healthy green belts. Otherwise, it’s just a waste of water and resources.

    🔗 Link to the research: datastory.org.ua/calgarys-summ

    #Calgary #UrbanHeatIsland #NDVI #ClimateChange #UrbanPlanning #DataScience #Environment #YYC #BigData #ScienceMatters #GreennessOfCalgary #ClimateOfCalgary #rstats #RemoteSensing #OpenScience

  14. 🏡 Here is the data analysis for Calgary, Summer 2025. This chart shows the relationship between vegetation density (NDVI) and Land Surface Temperature (LST).

    🔥 The data reveals a critical "tipping point": vegetation only starts effectively cooling the environment once it reaches a specific density threshold. Below this threshold (the left side of the curve), green spaces stay just as hot as the surrounding concrete.
    Sparse or isolated trees don't act as air conditioners—they "burn" in the urban furnace right along with us.

    ❗ What does this mean for Calgary? Simply planting a few scattered trees isn't enough. To actually move the needle on temperature, we need dense, healthy green belts. Otherwise, it’s just a waste of water and resources.

    🔗 Link to the research: datastory.org.ua/calgarys-summ

    #Calgary #UrbanHeatIsland #NDVI #ClimateChange #UrbanPlanning #DataScience #Environment #YYC #BigData #ScienceMatters #GreennessOfCalgary #ClimateOfCalgary #rstats #RemoteSensing #OpenScience

  15. 🏡 Here is the data analysis for Calgary, Summer 2025. This chart shows the relationship between vegetation density (NDVI) and Land Surface Temperature (LST).

    🔥 The data reveals a critical "tipping point": vegetation only starts effectively cooling the environment once it reaches a specific density threshold. Below this threshold (the left side of the curve), green spaces stay just as hot as the surrounding concrete.
    Sparse or isolated trees don't act as air conditioners—they "burn" in the urban furnace right along with us.

    ❗ What does this mean for Calgary? Simply planting a few scattered trees isn't enough. To actually move the needle on temperature, we need dense, healthy green belts. Otherwise, it’s just a waste of water and resources.

    🔗 Link to the research: datastory.org.ua/calgarys-summ

    #Calgary #UrbanHeatIsland #NDVI #ClimateChange #UrbanPlanning #DataScience #Environment #YYC #BigData #ScienceMatters #GreennessOfCalgary #ClimateOfCalgary #rstats #RemoteSensing #OpenScience

  16. 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:
    datastory.org.ua/calgarys-summ

    #RemoteSensing #Rstats #GreennesOfCalgary #ClimateOfCalgary #OpenData #FOSSGIS #ClimateResilence #Landsat #Sentinel2 #Calgary #Alberta #Canada #YYC #LST #NDVI

  17. 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:
    datastory.org.ua/calgarys-summ

    #RemoteSensing #Rstats #GreennesOfCalgary #ClimateOfCalgary #OpenData #FOSSGIS #ClimateResilence #Landsat #Sentinel2 #Calgary #Alberta #Canada #YYC #LST #NDVI

  18. 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:
    datastory.org.ua/calgarys-summ

    #RemoteSensing #Rstats #GreennesOfCalgary #ClimateOfCalgary #OpenData #FOSSGIS #ClimateResilence #Landsat #Sentinel2 #Calgary #Alberta #Canada #YYC #LST #NDVI

  19. 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:
    datastory.org.ua/calgarys-summ

    #RemoteSensing #Rstats #GreennesOfCalgary #ClimateOfCalgary #OpenData #FOSSGIS #ClimateResilence #Landsat #Sentinel2 #Calgary #Alberta #Canada #YYC #LST #NDVI

  20. 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:
    datastory.org.ua/calgarys-summ

    #RemoteSensing #Rstats #GreennesOfCalgary #ClimateOfCalgary #OpenData #FOSSGIS #ClimateResilence #Landsat #Sentinel2 #Calgary #Alberta #Canada #YYC #LST #NDVI

  21. Calgary experienced a very wet and rainy summer in 2025. Naturally, the city’s vegetation responded vigorously to the high moisture levels, showing lush growth compared to the scorching summer of 2024. 🌿
    Among residential areas, tiny Roxboro showed the most significant "greening"! Meanwhile, the lowest "recovery" rates were observed in the city's newest communities.

    Read more about my research and explore the full data here:
    datastory.org.ua/how-much-gree

    #Calgary #NDVI #RemoteSensing #DataScience #Climate #YYC #OpenData #RStats #GreennessOfCalgary

  22. Calgary experienced a very wet and rainy summer in 2025. Naturally, the city’s vegetation responded vigorously to the high moisture levels, showing lush growth compared to the scorching summer of 2024. 🌿
    Among residential areas, tiny Roxboro showed the most significant "greening"! Meanwhile, the lowest "recovery" rates were observed in the city's newest communities.

    Read more about my research and explore the full data here:
    datastory.org.ua/how-much-gree

    #Calgary #NDVI #RemoteSensing #DataScience #Climate #YYC #OpenData #RStats #GreennessOfCalgary

  23. Calgary experienced a very wet and rainy summer in 2025. Naturally, the city’s vegetation responded vigorously to the high moisture levels, showing lush growth compared to the scorching summer of 2024. 🌿
    Among residential areas, tiny Roxboro showed the most significant "greening"! Meanwhile, the lowest "recovery" rates were observed in the city's newest communities.

    Read more about my research and explore the full data here:
    datastory.org.ua/how-much-gree

    #Calgary #NDVI #RemoteSensing #DataScience #Climate #YYC #OpenData #RStats #GreennessOfCalgary

  24. Calgary experienced a very wet and rainy summer in 2025. Naturally, the city’s vegetation responded vigorously to the high moisture levels, showing lush growth compared to the scorching summer of 2024. 🌿
    Among residential areas, tiny Roxboro showed the most significant "greening"! Meanwhile, the lowest "recovery" rates were observed in the city's newest communities.

    Read more about my research and explore the full data here:
    datastory.org.ua/how-much-gree

    #Calgary #NDVI #RemoteSensing #DataScience #Climate #YYC #OpenData #RStats #GreennessOfCalgary

  25. Calgary experienced a very wet and rainy summer in 2025. Naturally, the city’s vegetation responded vigorously to the high moisture levels, showing lush growth compared to the scorching summer of 2024. 🌿
    Among residential areas, tiny Roxboro showed the most significant "greening"! Meanwhile, the lowest "recovery" rates were observed in the city's newest communities.

    Read more about my research and explore the full data here:
    datastory.org.ua/how-much-gree

    #Calgary #NDVI #RemoteSensing #DataScience #Climate #YYC #OpenData #RStats #GreennessOfCalgary

  26. How did Calgary respond to the wet summer of 2025?
    Here’s the median summer NDVI map derived from Sentinel-2 imagery.
    You can clearly see the Bow River corridor, Nose Hill Park, and the contrast between established tree-rich communities and newer developments.

    Full analysis here:
    datastory.org.ua/how-much-gree

    #Geospatial #NDVI #UrbanClimate #Calgary #RStats #GreennessOfCalgary #yyc #Apberta #QGIS #foss4g #EnvironmentalMonitoring #UrbanHealth

  27. How did Calgary respond to the wet summer of 2025?
    Here’s the median summer NDVI map derived from Sentinel-2 imagery.
    You can clearly see the Bow River corridor, Nose Hill Park, and the contrast between established tree-rich communities and newer developments.

    Full analysis here:
    datastory.org.ua/how-much-gree

    #Geospatial #NDVI #UrbanClimate #Calgary #RStats #GreennessOfCalgary #yyc #Apberta #QGIS #foss4g #EnvironmentalMonitoring #UrbanHealth

  28. How did Calgary respond to the wet summer of 2025?
    Here’s the median summer NDVI map derived from Sentinel-2 imagery.
    You can clearly see the Bow River corridor, Nose Hill Park, and the contrast between established tree-rich communities and newer developments.

    Full analysis here:
    datastory.org.ua/how-much-gree

    #Geospatial #NDVI #UrbanClimate #Calgary #RStats #GreennessOfCalgary #yyc #Apberta #QGIS #foss4g #EnvironmentalMonitoring #UrbanHealth

  29. How did Calgary respond to the wet summer of 2025?
    Here’s the median summer NDVI map derived from Sentinel-2 imagery.
    You can clearly see the Bow River corridor, Nose Hill Park, and the contrast between established tree-rich communities and newer developments.

    Full analysis here:
    datastory.org.ua/how-much-gree

    #Geospatial #NDVI #UrbanClimate #Calgary #RStats #GreennessOfCalgary #yyc #Apberta #QGIS #foss4g #EnvironmentalMonitoring #UrbanHealth

  30. New analysis published:
    “How Much Greener Is Calgary in 2025?”

    Using Sentinel-2 data (~8.5M pixels), I calculated NDVI change (ΔNDVI) between the 2024 drought and the rainy 2025 season across all Calgary communities.

    Clear spatial pattern:
    • Strong rebound in mature tree neighborhoods
    • Limited change in developing, impervious-heavy zones

    Method: R (terra, tidyverse) + QGIS
    Community boundaries: Open Calgary

    Article + interactive table: datastory.org.ua/how-much-gree

    #RemoteSensing #NDVI #OpenData #UrbanEcology #RStats #QGIS #GreennessOfCalgary

  31. New analysis published:
    “How Much Greener Is Calgary in 2025?”

    Using Sentinel-2 data (~8.5M pixels), I calculated NDVI change (ΔNDVI) between the 2024 drought and the rainy 2025 season across all Calgary communities.

    Clear spatial pattern:
    • Strong rebound in mature tree neighborhoods
    • Limited change in developing, impervious-heavy zones

    Method: R (terra, tidyverse) + QGIS
    Community boundaries: Open Calgary

    Article + interactive table: datastory.org.ua/how-much-gree

    #RemoteSensing #NDVI #OpenData #UrbanEcology #RStats #QGIS #GreennessOfCalgary

  32. New analysis published:
    “How Much Greener Is Calgary in 2025?”

    Using Sentinel-2 data (~8.5M pixels), I calculated NDVI change (ΔNDVI) between the 2024 drought and the rainy 2025 season across all Calgary communities.

    Clear spatial pattern:
    • Strong rebound in mature tree neighborhoods
    • Limited change in developing, impervious-heavy zones

    Method: R (terra, tidyverse) + QGIS
    Community boundaries: Open Calgary

    Article + interactive table: datastory.org.ua/how-much-gree

    #RemoteSensing #NDVI #OpenData #UrbanEcology #RStats #QGIS #GreennessOfCalgary

  33. New analysis published:
    “How Much Greener Is Calgary in 2025?”

    Using Sentinel-2 data (~8.5M pixels), I calculated NDVI change (ΔNDVI) between the 2024 drought and the rainy 2025 season across all Calgary communities.

    Clear spatial pattern:
    • Strong rebound in mature tree neighborhoods
    • Limited change in developing, impervious-heavy zones

    Method: R (terra, tidyverse) + QGIS
    Community boundaries: Open Calgary

    Article + interactive table: datastory.org.ua/how-much-gree

    #RemoteSensing #NDVI #OpenData #UrbanEcology #RStats #QGIS #GreennessOfCalgary

  34. How much does landform position matter for vegetation dynamics across Calgary?

    I explored how ΔNDVI (2025-2024) varies across geomorphon classes (summit, ridge, slope, hollow, valley, etc.) using a large spatial dataset (~194k observations).

    A few key points from the analysis:
    • Non-parametric Kruskal–Wallis test shows statistically significant differences between geomorphons
    • However, the effect size is moderate (ε² ≈ 0.04)
    • Distributions strongly overlap — landform position matters, but it is not a deterministic driver
    • Median ΔNDVI tends to be higher in lower landscape positions (hollows, footslopes, valleys), consistent with moisture and accumulation controls

    #EnvironmentalData #RemoteSensing #NDVI #LandscapeEcology #Geomorphology #DataAnalysis #RStats
    #ReproducibleResearch #Calgary #GreennessOfCalgary #Sentinel2

  35. How much does landform position matter for vegetation dynamics across Calgary?

    I explored how ΔNDVI (2025-2024) varies across geomorphon classes (summit, ridge, slope, hollow, valley, etc.) using a large spatial dataset (~194k observations).

    A few key points from the analysis:
    • Non-parametric Kruskal–Wallis test shows statistically significant differences between geomorphons
    • However, the effect size is moderate (ε² ≈ 0.04)
    • Distributions strongly overlap — landform position matters, but it is not a deterministic driver
    • Median ΔNDVI tends to be higher in lower landscape positions (hollows, footslopes, valleys), consistent with moisture and accumulation controls

    #EnvironmentalData #RemoteSensing #NDVI #LandscapeEcology #Geomorphology #DataAnalysis #RStats
    #ReproducibleResearch #Calgary #GreennessOfCalgary #Sentinel2

  36. How much does landform position matter for vegetation dynamics across Calgary?

    I explored how ΔNDVI (2025-2024) varies across geomorphon classes (summit, ridge, slope, hollow, valley, etc.) using a large spatial dataset (~194k observations).

    A few key points from the analysis:
    • Non-parametric Kruskal–Wallis test shows statistically significant differences between geomorphons
    • However, the effect size is moderate (ε² ≈ 0.04)
    • Distributions strongly overlap — landform position matters, but it is not a deterministic driver
    • Median ΔNDVI tends to be higher in lower landscape positions (hollows, footslopes, valleys), consistent with moisture and accumulation controls

    #EnvironmentalData #RemoteSensing #NDVI #LandscapeEcology #Geomorphology #DataAnalysis #RStats
    #ReproducibleResearch #Calgary #GreennessOfCalgary #Sentinel2

  37. How successive #meteotsunami and storm activity disrupts #saltmarsh vegetation

    Clare Lewis, Jonathan Dale, Jessica Neumann, Tim Smyth, Hannah Cloke, October 2025

    Abstract
    "Meteotsunami (#MeteorologicalTsunami) are globally occurring progressive shallow water waves with a period of between 2 and 120 min which result from sudden pressure changes and wind stress due to moving atmospheric systems. These waves are known to cause destruction to and loss of assets. Currently, there is no research into the impact of meteotsunami on #CoastalEcosystems such as saltmarshes, despite the significant role saltmarsh play in providing vital habitats for resident and migrating birds, natural flood defences and climate mitigation. As such the restoration of saltmarshes has emerged as a pivotal focus within the UK Government's environmental policy framework.

    "This paper examines the impact of two meteotsunami events (2016 and 2021) on saltmarsh vegetation in the southwestern #UK. An assessment of the vegetation pre and post event was undertaken using high resolution satellite imagery and the Normalised Difference Vegetation Index (#NDVI). Results revealed that the 2016 meteotsunami exacted minimal vegetation change with a decrease in NDVI from 0.26 to 0.23 and a temporary reduction in coverage of 40%, suggesting a potential resilience to single episodic disturbances. In contrast, the 2021 event, compounded by multiple significant storms and additional meteotsunami, led to a decline in NDVI values from 0.44 to 0.22 and a temporary reduction in vegetation coverage of 66%.

    "Both events indicated a short-term disruption with a relatively rapid rebound (within one to three months). However, the longer-term effects of such a disruption on the saltmarsh ecosystem need to be investigated further.
    This comparative analysis underscores the complex interactions between meteotsunami, climatic phenomena, and coastal vegetation dynamics, highlighting the necessity for ongoing monitoring and research to understand the resilience mechanisms of such ecosystems in the face of increasing #ClimaticVariability and #ExtremeWeather events."

    Full paper:
    sciencedirect.com/science/arti

    #ClimateChange #AtmosphericDisturbances #AtmosphericDisturbance #CoastalAreas #RogueWave

  38. How successive #meteotsunami and storm activity disrupts #saltmarsh vegetation

    Clare Lewis, Jonathan Dale, Jessica Neumann, Tim Smyth, Hannah Cloke, October 2025

    Abstract
    "Meteotsunami (#MeteorologicalTsunami) are globally occurring progressive shallow water waves with a period of between 2 and 120 min which result from sudden pressure changes and wind stress due to moving atmospheric systems. These waves are known to cause destruction to and loss of assets. Currently, there is no research into the impact of meteotsunami on #CoastalEcosystems such as saltmarshes, despite the significant role saltmarsh play in providing vital habitats for resident and migrating birds, natural flood defences and climate mitigation. As such the restoration of saltmarshes has emerged as a pivotal focus within the UK Government's environmental policy framework.

    "This paper examines the impact of two meteotsunami events (2016 and 2021) on saltmarsh vegetation in the southwestern #UK. An assessment of the vegetation pre and post event was undertaken using high resolution satellite imagery and the Normalised Difference Vegetation Index (#NDVI). Results revealed that the 2016 meteotsunami exacted minimal vegetation change with a decrease in NDVI from 0.26 to 0.23 and a temporary reduction in coverage of 40%, suggesting a potential resilience to single episodic disturbances. In contrast, the 2021 event, compounded by multiple significant storms and additional meteotsunami, led to a decline in NDVI values from 0.44 to 0.22 and a temporary reduction in vegetation coverage of 66%.

    "Both events indicated a short-term disruption with a relatively rapid rebound (within one to three months). However, the longer-term effects of such a disruption on the saltmarsh ecosystem need to be investigated further.
    This comparative analysis underscores the complex interactions between meteotsunami, climatic phenomena, and coastal vegetation dynamics, highlighting the necessity for ongoing monitoring and research to understand the resilience mechanisms of such ecosystems in the face of increasing #ClimaticVariability and #ExtremeWeather events."

    Full paper:
    sciencedirect.com/science/arti

    #ClimateChange #AtmosphericDisturbances #AtmosphericDisturbance #CoastalAreas #RogueWave

  39. How successive #meteotsunami and storm activity disrupts #saltmarsh vegetation

    Clare Lewis, Jonathan Dale, Jessica Neumann, Tim Smyth, Hannah Cloke, October 2025

    Abstract
    "Meteotsunami (#MeteorologicalTsunami) are globally occurring progressive shallow water waves with a period of between 2 and 120 min which result from sudden pressure changes and wind stress due to moving atmospheric systems. These waves are known to cause destruction to and loss of assets. Currently, there is no research into the impact of meteotsunami on #CoastalEcosystems such as saltmarshes, despite the significant role saltmarsh play in providing vital habitats for resident and migrating birds, natural flood defences and climate mitigation. As such the restoration of saltmarshes has emerged as a pivotal focus within the UK Government's environmental policy framework.

    "This paper examines the impact of two meteotsunami events (2016 and 2021) on saltmarsh vegetation in the southwestern #UK. An assessment of the vegetation pre and post event was undertaken using high resolution satellite imagery and the Normalised Difference Vegetation Index (#NDVI). Results revealed that the 2016 meteotsunami exacted minimal vegetation change with a decrease in NDVI from 0.26 to 0.23 and a temporary reduction in coverage of 40%, suggesting a potential resilience to single episodic disturbances. In contrast, the 2021 event, compounded by multiple significant storms and additional meteotsunami, led to a decline in NDVI values from 0.44 to 0.22 and a temporary reduction in vegetation coverage of 66%.

    "Both events indicated a short-term disruption with a relatively rapid rebound (within one to three months). However, the longer-term effects of such a disruption on the saltmarsh ecosystem need to be investigated further.
    This comparative analysis underscores the complex interactions between meteotsunami, climatic phenomena, and coastal vegetation dynamics, highlighting the necessity for ongoing monitoring and research to understand the resilience mechanisms of such ecosystems in the face of increasing #ClimaticVariability and #ExtremeWeather events."

    Full paper:
    sciencedirect.com/science/arti

    #ClimateChange #AtmosphericDisturbances #AtmosphericDisturbance #CoastalAreas #RogueWave

  40. How successive #meteotsunami and storm activity disrupts #saltmarsh vegetation

    Clare Lewis, Jonathan Dale, Jessica Neumann, Tim Smyth, Hannah Cloke, October 2025

    Abstract
    "Meteotsunami (#MeteorologicalTsunami) are globally occurring progressive shallow water waves with a period of between 2 and 120 min which result from sudden pressure changes and wind stress due to moving atmospheric systems. These waves are known to cause destruction to and loss of assets. Currently, there is no research into the impact of meteotsunami on #CoastalEcosystems such as saltmarshes, despite the significant role saltmarsh play in providing vital habitats for resident and migrating birds, natural flood defences and climate mitigation. As such the restoration of saltmarshes has emerged as a pivotal focus within the UK Government's environmental policy framework.

    "This paper examines the impact of two meteotsunami events (2016 and 2021) on saltmarsh vegetation in the southwestern #UK. An assessment of the vegetation pre and post event was undertaken using high resolution satellite imagery and the Normalised Difference Vegetation Index (#NDVI). Results revealed that the 2016 meteotsunami exacted minimal vegetation change with a decrease in NDVI from 0.26 to 0.23 and a temporary reduction in coverage of 40%, suggesting a potential resilience to single episodic disturbances. In contrast, the 2021 event, compounded by multiple significant storms and additional meteotsunami, led to a decline in NDVI values from 0.44 to 0.22 and a temporary reduction in vegetation coverage of 66%.

    "Both events indicated a short-term disruption with a relatively rapid rebound (within one to three months). However, the longer-term effects of such a disruption on the saltmarsh ecosystem need to be investigated further.
    This comparative analysis underscores the complex interactions between meteotsunami, climatic phenomena, and coastal vegetation dynamics, highlighting the necessity for ongoing monitoring and research to understand the resilience mechanisms of such ecosystems in the face of increasing #ClimaticVariability and #ExtremeWeather events."

    Full paper:
    sciencedirect.com/science/arti

    #ClimateChange #AtmosphericDisturbances #AtmosphericDisturbance #CoastalAreas #RogueWave