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#himalayas — Public Fediverse posts

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

  1. Chinese national rescued from Nepal tunnel

    A Chinese national was pulled alive from a tunnel in Nepal ten ‌days after a wall of ice, rock and mud tore through a Himalayan valley, killing more than 1,300 people. #nepal #environment #himalayas #mudslides #china #tibet #climatechange #glacier #asia #News #Reuters #Newsfeed Read the story here: 👉 Subscribe: Keep up with the latest news from around the world: Follow Reuters on Facebook: Follow Reuters on X: Follow Reuters…

    fllics.com/en/video/chinese-na

  2. Chinese national rescued from Nepal tunnel

    A Chinese national was pulled alive from a tunnel in Nepal ten ‌days after a wall of ice, rock and mud tore through a Himalayan valley, killing more than 1,300 people. #nepal #environment #himalayas #mudslides #china #tibet #climatechange #glacier #asia #News #Reuters #Newsfeed Read the story here: 👉 Subscribe: Keep up with the latest news from around the world: Follow Reuters on Facebook: Follow Reuters on X: Follow Reuters…

    fllics.com/en/video/chinese-na

  3. Chinese national rescued from Nepal tunnel

    A Chinese national was pulled alive from a tunnel in Nepal ten ‌days after a wall of ice, rock and mud tore through a Himalayan valley, killing more than 1,300 people. #nepal #environment #himalayas #mudslides #china #tibet #climatechange #glacier #asia #News #Reuters #Newsfeed Read the story here: 👉 Subscribe: Keep up with the latest news from around the world: Follow Reuters on Facebook: Follow Reuters on X: Follow Reuters…

    fllics.com/en/video/chinese-na

  4. Chinese national rescued from Nepal tunnel

    A Chinese national was pulled alive from a tunnel in Nepal ten ‌days after a wall of ice, rock and mud tore through a Himalayan valley, killing more than 1,300 people. #nepal #environment #himalayas #mudslides #china #tibet #climatechange #glacier #asia #News #Reuters #Newsfeed Read the story here: 👉 Subscribe: Keep up with the latest news from around the world: Follow Reuters on Facebook: Follow Reuters on X: Follow Reuters…

    fllics.com/en/video/chinese-na

  5. Chinese national rescued from Nepal tunnel

    A Chinese national was pulled alive from a tunnel in Nepal ten ‌days after a wall of ice, rock and mud tore through a Himalayan valley, killing more than 1,300 people. #nepal #environment #himalayas #mudslides #china #tibet #climatechange #glacier #asia #News #Reuters #Newsfeed Read the story here: 👉 Subscribe: Keep up with the latest news from around the world: Follow Reuters on Facebook: Follow Reuters on X: Follow Reuters…

    fllics.com/en/video/chinese-na

  6. 🔍 Ah, the riveting tale of "what if a lake bursts?" in the #Himalayas. Because, clearly, it's not like we have bigger lakes to worry about or anything. 😂 Just a regular Tuesday in academia, folks! ⛰️💦
    nhess.copernicus.org/articles/ #lakeburst #academicdiscourse #environmentalconcerns #sciencehumor #researchupdates #HackerNews #ngated

  7. In 2022, DJI was able to fly one of their drones over Mt. Everest.

    Here's the video recorded by the drone around the highest point on Earth!
    youtu.be/Zz9oI3B6v4c

    In 2024 and 2025, DJI drones, specifically the Mavic 3 Pro and Mavic 4 Pro, achieved record-setting, high-altitude flights over Mount Everest, capturing 8K footage of the summit at 8,848 meters. These drones, often operated with 8KRAW, showcased remarkable stability in high winds (up to 50 km/h) and thin air.

    DJI Mavic 3 Pro: youtu.be/A-iVxaFhr7s
    DJI Mavic 4 Pro: youtu.be/csDriucITDE

    Here are some of the physics challenges involved 👇

    #Drone #DronePhotography #MtEverest #Everest #Aerodynamics #Physics #DJIdroneshots #HighAltitude #ThinAir #PhysicsChallenge #Nepal #Himalayas #Drones #DroneShots

  8. Permafrost Distribution, Degradation, And Potential Mass Movement Cascades In The Western Himalaya Using Machine Learning And Numerical Models
    --
    doi.org/10.1038/s44304-026-002 <-- shared paper
    --
    doi.org/10.1038/s41598-025-220 <-- shared (earlier) paper
    --
    doi.org/10.1080/2150704X.2025. <-- shared (earlier) paper
    --
    H/T @abhinav Alangadan
    “Can we develop a first-order understanding of permafrost degradation and glacial lakes exposed to degradation-induced mass movements in the Himalaya?
    [The authors] tried to address this question. The study [first link above] integrates machine learning, statistical modeling, and numerical modeling to investigate high-resolution permafrost distribution, potential degradation, and associated mass-movement hazards in the Kinnaur district of Himachal Pradesh, India.
    Using rock glaciers as proxies, [they] generated a high-resolution permafrost distribution using machine learning, while potential degradation zones were delineated using the 0°C isotherm as a first-order indicator. [They] further identified glacial lakes located near potentially degrading permafrost zones and reconstructed their bathymetry. A detailed scenario-based GLOF process-chain simulation was then carried out for Kashang Lake using r.avaflow and HEC-RAS.
    [Their] results indicate that seven glacial lakes in #Kinnaur are located close to potentially degrading permafrost zones. The simulations further show that a potential GLOF from Kashang Lake could inundate critical downstream infrastructure, including nearly 11 km of National Highway 5…”
    #permafrost #distribution #GIS #spatial #mapping #Himalayas #India #Kinnaur #HimachalPradesh #KashangLake #massmovement #engineeringgeology #machinelearning #AI #model #modeling #numericalmodel #glaciallakes #glaciet #glacial #glaciallakeoutburstflood #GLOF #cryosphere #geostatistics #rockglaciers #GeoAI #bathymetry #processchainsimulation #HECRAS #avaflow #risk #hazard #mitigation #riskassessment #infrastructure #HEP #publicsafety #downstream #avalanche

  9. Permafrost Distribution, Degradation, And Potential Mass Movement Cascades In The Western Himalaya Using Machine Learning And Numerical Models
    --
    doi.org/10.1038/s44304-026-002 <-- shared paper
    --
    doi.org/10.1038/s41598-025-220 <-- shared (earlier) paper
    --
    doi.org/10.1080/2150704X.2025. <-- shared (earlier) paper
    --
    H/T @abhinav Alangadan
    “Can we develop a first-order understanding of permafrost degradation and glacial lakes exposed to degradation-induced mass movements in the Himalaya?
    [The authors] tried to address this question. The study [first link above] integrates machine learning, statistical modeling, and numerical modeling to investigate high-resolution permafrost distribution, potential degradation, and associated mass-movement hazards in the Kinnaur district of Himachal Pradesh, India.
    Using rock glaciers as proxies, [they] generated a high-resolution permafrost distribution using machine learning, while potential degradation zones were delineated using the 0°C isotherm as a first-order indicator. [They] further identified glacial lakes located near potentially degrading permafrost zones and reconstructed their bathymetry. A detailed scenario-based GLOF process-chain simulation was then carried out for Kashang Lake using r.avaflow and HEC-RAS.
    [Their] results indicate that seven glacial lakes in #Kinnaur are located close to potentially degrading permafrost zones. The simulations further show that a potential GLOF from Kashang Lake could inundate critical downstream infrastructure, including nearly 11 km of National Highway 5…”
    #permafrost #distribution #GIS #spatial #mapping #Himalayas #India #Kinnaur #HimachalPradesh #KashangLake #massmovement #engineeringgeology #machinelearning #AI #model #modeling #numericalmodel #glaciallakes #glaciet #glacial #glaciallakeoutburstflood #GLOF #cryosphere #geostatistics #rockglaciers #GeoAI #bathymetry #processchainsimulation #HECRAS #avaflow #risk #hazard #mitigation #riskassessment #infrastructure #HEP #publicsafety #downstream #avalanche

  10. Permafrost Distribution, Degradation, And Potential Mass Movement Cascades In The Western Himalaya Using Machine Learning And Numerical Models
    --
    doi.org/10.1038/s44304-026-002 <-- shared paper
    --
    doi.org/10.1038/s41598-025-220 <-- shared (earlier) paper
    --
    doi.org/10.1080/2150704X.2025. <-- shared (earlier) paper
    --
    H/T @abhinav Alangadan
    “Can we develop a first-order understanding of permafrost degradation and glacial lakes exposed to degradation-induced mass movements in the Himalaya?
    [The authors] tried to address this question. The study [first link above] integrates machine learning, statistical modeling, and numerical modeling to investigate high-resolution permafrost distribution, potential degradation, and associated mass-movement hazards in the Kinnaur district of Himachal Pradesh, India.
    Using rock glaciers as proxies, [they] generated a high-resolution permafrost distribution using machine learning, while potential degradation zones were delineated using the 0°C isotherm as a first-order indicator. [They] further identified glacial lakes located near potentially degrading permafrost zones and reconstructed their bathymetry. A detailed scenario-based GLOF process-chain simulation was then carried out for Kashang Lake using r.avaflow and HEC-RAS.
    [Their] results indicate that seven glacial lakes in #Kinnaur are located close to potentially degrading permafrost zones. The simulations further show that a potential GLOF from Kashang Lake could inundate critical downstream infrastructure, including nearly 11 km of National Highway 5…”
    #permafrost #distribution #GIS #spatial #mapping #Himalayas #India #Kinnaur #HimachalPradesh #KashangLake #massmovement #engineeringgeology #machinelearning #AI #model #modeling #numericalmodel #glaciallakes #glaciet #glacial #glaciallakeoutburstflood #GLOF #cryosphere #geostatistics #rockglaciers #GeoAI #bathymetry #processchainsimulation #HECRAS #avaflow #risk #hazard #mitigation #riskassessment #infrastructure #HEP #publicsafety #downstream #avalanche

  11. Permafrost Distribution, Degradation, And Potential Mass Movement Cascades In The Western Himalaya Using Machine Learning And Numerical Models
    --
    doi.org/10.1038/s44304-026-002 <-- shared paper
    --
    doi.org/10.1038/s41598-025-220 <-- shared (earlier) paper
    --
    doi.org/10.1080/2150704X.2025. <-- shared (earlier) paper
    --
    H/T @abhinav Alangadan
    “Can we develop a first-order understanding of permafrost degradation and glacial lakes exposed to degradation-induced mass movements in the Himalaya?
    [The authors] tried to address this question. The study [first link above] integrates machine learning, statistical modeling, and numerical modeling to investigate high-resolution permafrost distribution, potential degradation, and associated mass-movement hazards in the Kinnaur district of Himachal Pradesh, India.
    Using rock glaciers as proxies, [they] generated a high-resolution permafrost distribution using machine learning, while potential degradation zones were delineated using the 0°C isotherm as a first-order indicator. [They] further identified glacial lakes located near potentially degrading permafrost zones and reconstructed their bathymetry. A detailed scenario-based GLOF process-chain simulation was then carried out for Kashang Lake using r.avaflow and HEC-RAS.
    [Their] results indicate that seven glacial lakes in #Kinnaur are located close to potentially degrading permafrost zones. The simulations further show that a potential GLOF from Kashang Lake could inundate critical downstream infrastructure, including nearly 11 km of National Highway 5…”
    #permafrost #distribution #GIS #spatial #mapping #Himalayas #India #Kinnaur #HimachalPradesh #KashangLake #massmovement #engineeringgeology #machinelearning #AI #model #modeling #numericalmodel #glaciallakes #glaciet #glacial #glaciallakeoutburstflood #GLOF #cryosphere #geostatistics #rockglaciers #GeoAI #bathymetry #processchainsimulation #HECRAS #avaflow #risk #hazard #mitigation #riskassessment #infrastructure #HEP #publicsafety #downstream #avalanche

  12. Permafrost Distribution, Degradation, And Potential Mass Movement Cascades In The Western Himalaya Using Machine Learning And Numerical Models
    --
    doi.org/10.1038/s44304-026-002 <-- shared paper
    --
    doi.org/10.1038/s41598-025-220 <-- shared (earlier) paper
    --
    doi.org/10.1080/2150704X.2025. <-- shared (earlier) paper
    --
    H/T @abhinav Alangadan
    “Can we develop a first-order understanding of permafrost degradation and glacial lakes exposed to degradation-induced mass movements in the Himalaya?
    [The authors] tried to address this question. The study [first link above] integrates machine learning, statistical modeling, and numerical modeling to investigate high-resolution permafrost distribution, potential degradation, and associated mass-movement hazards in the Kinnaur district of Himachal Pradesh, India.
    Using rock glaciers as proxies, [they] generated a high-resolution permafrost distribution using machine learning, while potential degradation zones were delineated using the 0°C isotherm as a first-order indicator. [They] further identified glacial lakes located near potentially degrading permafrost zones and reconstructed their bathymetry. A detailed scenario-based GLOF process-chain simulation was then carried out for Kashang Lake using r.avaflow and HEC-RAS.
    [Their] results indicate that seven glacial lakes in are located close to potentially degrading permafrost zones. The simulations further show that a potential GLOF from Kashang Lake could inundate critical downstream infrastructure, including nearly 11 km of National Highway 5…”

  13. 💁🏻‍♀️ TIL: 🏔️❄️ Roughly the size of #HongKong, #Sagarmatha National Park in north-east #Nepal contains Mount #Everest, the highest #mountain on #Earth.

    Established in 1976 and declared a #UNESCO World Heritage Site in 1979, the #park spans 1,148 square km of #glaciers, river #valleys, and #forests. It hosts 28 #mammal species and over 150 #birds, including snow #leopards, red #pandas, Himalayan #tahr, and bar-headed #geese.

    👉 discoverwildlife.com/animal-fa

    #himalayas #everest #unesco #snowleopard #redpanda #wildlife #conservation #mountains #biodiversity #nature #geography

  14. India Safaris @indiasafaristrends.wordpress.com@indiasafaristrends.wordpress.com ·

    What Are Some Popular Trekking Destinations in the Himalayan Region?

    The Himalayan region is a dream for trekking enthusiasts, offering breathtaking landscapes, towering peaks, and a unique cultural experience. From the lush valleys of the Eastern Himalayas to the snow-capped peaks of the Western ranges, India is a top destination for trekking tours. Whether you are a seasoned trekker or a beginner looking for an adventurous trekking tour in Himalayas, this guide will help you explore the most popular trekking routes, plan your itinerary, and discover the best […]

    indiasafaristrends.wordpress.c

  15. John Krakauer, the author of "Into Thin Air",says he wishes that he had never gone to Mt. Everest.
    This is the 30th anniversary of the deadly1996 Everest disaster.
    #mountainclimbing
    #mteverest
    #Himalayas
    people.com/jon-krakauer-into-t

  16. In 2022, DJI was able to fly one of their drones over Mt. Everest.

    Here are some of the physics challenges involved (see comments) 👇

    Here's the drone video (2022) recorded at the highest point on Earth!
    youtu.be/Zz9oI3B6v4c

    In 2024 and 2025, DJI drones, specifically the Mavic 3 Pro and Mavic 4 Pro, achieved record-setting, high-altitude flights over Mount Everest, capturing 8K footage of the summit at 8,848 meters. These drones, often operated with 8KRAW, showcased remarkable stability in high winds (up to 50 km/h) and thin air.

    DJI Mavic 3 Pro: youtu.be/A-iVxaFhr7s
    DJI Mavic 4 Pro: youtu.be/csDriucITDE

    #Drone #DronePhotography #MtEverest #Everest #Aerodynamics #Physics #DJIdroneshots #HighAltitude #ThinAir #PhysicsChallenge #Nepal #Himalayas #Drones #DroneShots

  17. Ever wondered how the mighty Himalayas rose from the sea?

    The collision between the Indian and Eurasian plates created the world's highest mountains through five fascinating geological phases. Watch this quick reel to journey through millions of years in just seconds!

    #EnliteIAS #Himalayas #IndianGeography #Geology #UPSC #IAS #CivilServices #IASCoaching #UPSCPreparation #UPSCAspirants

  18. Silhouettes of the World's highest mountains, the eight-thousanders: Mount Everest (8850m), Lhotse (8516m) and Makalu (8485m) among other prominent peaks, seen from the way to the summit of Gokyo Ri (5357m) at dawn. Solukhumbu, Sagarmatha National Park, #Nepal

    radekkucharski.picfair.com/ima

    © Radek Kucharski / pics.born2trek.com

    #travelphotography #landscapephotography #trekking #outdoor #trekkingphotography #Himalayas #wallartphotography #born2trek

  19. #15August #HappyIndependenceDay #RepublicOfIndia

    As we #Celebrate our 76th #IndependenceDay today here is the symbol of our #Democracy the #Buddhist Dharam Chakra (Wheel of Law) which is the centre of the #IndianFlag

    It has 24 spokes representing the 24 Rishis of #Himalayas. It also represents Time (24 hours of the day) to signify that #India is constantly changing & marching ahead.

    This 2nd century #Budhism Dharam Chakra comes from Amaravati in #AndharaPradesh & was on a Christies sale.

  20. Kongma La (5529m), view towards the West. The eight-thousander Cho Oyu, the sixth-highest mountain in the world, is on the left, under the cloud here. Three Passes Trek, Khumbu, the Himalayas. Sagarmatha National Park – a UNESCO World Heritage Site, Everest Region. Solukhumbu, Nepal.

    Prints available at fineartamerica.com/featured/1-

    #AYearForArt #mountains #Himalayas #trekking #hiking #TrekkingInHimalayas #mountainscape #landscape #LandscapePhotography #GiftIdea #WallArt #homedecor #officedecor

  21. Imja Khola valley seen from Kongma La (ca 5529m). It is Makalu (8485m), eight-thousander, the fifth-highest mountain on Earth, which crowns the others in this view. Khumbu, the Himalayas. Sagarmatha National Park – a UNESCO World Heritage Site, Everest Region. Solukhumbu, Nepal.

    fineartamerica.com/featured/up

    #EverestRegion #trekking #mountaineering #mountains #mountainsofmastodon #MountainPhotography #mountainscape #landscape #LandscapePhotography #Himalayas #Makalu #eightthousanders #photoNepal

  22. The classic view of Mount Everest (Chomolungma / Sagarmatha) from the top of Kala Patthar (5645m). South Col is seen between Everset and Nuptse and the ridge rises from it to the top of Lhotse. Nuptse looks spectacular on the rights with sharp peak. Autumn trekking season. Solukhumbum, Everest Base Camp Trek, Everest Region, Nepal.

    fineartamerica.com/featured/mo

    #EverestBaseCamp #mountains #trekking #Himalayas #MountEverest #mountainscape #MountainPhotography #eightthousanders #Everest #Sagarmatha