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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. Flood And Landslide Susceptibility Assessment And Multi Hazard Interaction Mapping Using Machine Learning And GIS For Sustainable Settlement Planning In Nepal
    --
    doi.org/10.1007/s44288-026-006 <-- shared paper
    --
    H/T @Narayan Thapa | Earth Data Modeling
    “Nepal lies within an active seismic zone and is influenced by most dynamic climatic systems in the world. It faces compounding floods and landslide threats. Impacts are worst where multi-hazard interactions create spatially linked corridors. Despite frequent co-occurrence, national-scale assessments remain limited. This study presents machine learning and GIS-based approach to map nationwide susceptibility to floods, landslides, and identify their potential interaction zones, and delineate critical multi-hazard flow zones through spatial adjacency analysis. Using Google Earth Engine, the Random Forest model integrates topographic, climatic, environmental, and hydrological datasets to overcome subjective expert-driven methods. The model achieved strong predictive accuracy (AUC: 0.84 for floods, 0.85 for landslides). The results showed 19% of Nepal’s lowlands are medium to very highly susceptible to inundation, threatening approximately 900,000 people and over 3.4 million buildings; whilst in the hilly terrains, 40% is susceptible to slope-failure endangering 200,000 people and about 0.6 million buildings. K-means clustering followed by spatial adjacency analysis identified four spatial zonation: 81% of national area as low-hazard zone, 9% as flood-only zone, 5% as landslide-only zone, and 5% as interaction zones. Critical multi-hazard flow zone covering 7,588 km² represents spatially connected corridors linking interaction zones to downstream flood-prone populated areas, affecting 88 km² built-up land and 1,722 km² cropland. These zones represent susceptibility-based spatial connectivity rather than physically simulated cascading processes. These findings support recommendations for risk-informed land-use planning, resilient infrastructure development and climate adaptation aligned to sustainable development and investment risk screening…”
    #GIS #spatial #mapping #GoogleEarthEngine #MachineLearning #RemoteSensing #GeospatialAI #DisasterRiskReduction #MultiHazard #ClimateAdaptation #climatechange #extremeweather #LandUsePlanning #SustainableDevelopment #InfrastructurePlanning #RiskAssessment #NaturalHazards #Nepal #EarthObservation #HinduKushHimalaya #HKH #HinduKush #Himalayas #risk #hazard #assessment #national #regional #spatialanalysis #spatiotemporal #massmovement #landslide #assessment #mitigation #water #hydrology #flood #flooding #sustainability

  7. Muktinath Temple travel guide: luxury Nepal Himalayas trip planning for one of the world’s most sacred high-altitude pilgrimage sites.

    How to reach Muktinath, what to expect, why Mustang feels like another planet, and how to do it without letting logistics eat the trip.

    thevagabondcouple.blogspot.com

    #VagabondCouple #travel #Nepal #Muktinath #Himalayas #Mustang #NepalTravel

  8. Permafrost Distribution, Degradation, And Potential Mass Movement Cascades In The Western Himalaya Using Machine Learning And Numerical Models
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    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. Just a bit over 24 hours ago was on a mixed forest mountain trail.

    The opposite of modern dystopia - no jostling, quiet, can't say cool but not boiling hot either. Plenty of - flowers & some fruting plants; arthropods (butterflies, bees, beetles, cockroaches, spiders etc) ; & birds singing, calling, foraging silently, some harassed by baby duties. & Even the call of a less seen / heard Grey-bellied Tesia.

    #NotDystopia #Forests #Nature #Birding #bloomscrolling #IndiasNature #Himalayas #ferns

  10. 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

  11. Here's a potato-quality photograph of one of them. But mostly the view we had was of them streaking past.
    #nature #wildlife #photography #himalayas #mustelid

  12. A pair of Yellow-Bellied Weasels (Mustela kathiah) decided to spend a few days in our backyard. They were lightning-quick, utterly unafraid of humans being nearby, and systematically investigated every drainage hole in the retaining wall.
    #nature #wildlife #photography #himalayas #mustelid

  13. Tsarab Chu Valley, a short distance upstream of Hormoche in a remote part of #Zanskar Range of the #Himalayas in #Ladakh, India. An autumn view. A beautiful, demanding, remote and wild trek follows this valley towards the Zanskar region.

    radekkucharski.picfair.com/alb

    #mountains #trekking #photography #landscapephotography #landscape #mountainscape #wallart

  14. Dust plumes today including the one from Gala Lake #Tibet posted earlier in southerly flow over the #Himalayas and spreading north. Seen by #himawari 9 🛰️

  15. Applications invited for a #BabySitter for tonight

    Getting ready to go out for dinner, but then, my son....

    c1800 CE #Pahari #IndianMiniaturePainting from #Kangra #HimachalPradesh now at National #Museum #NewDelhi

    A Child Holds a Mirror while his Mother Applies 'Bindi' to her Forehead

    #Art #IndianHistory #IndianHeritage #Histodons #Painting #IndianCulture #MastoArt #Heritage #History #Paintings #Museums #Artist

    #Punjab Hill State in the #Himalayas

    #Entertainment #Delhi

  16. It was a week on Sunday since my latest return from #Ladakh. I was guiding a small group on a fairly difficult #trekking trip across the #Zanskar Range of the #Himalayas. We started the trek in Karsha & followed the Barmi La variant of the Kanji La route described in my guidebook, to finish in Lamayuru. We covered about 170 km in 11 day, walking for some 90 hours in total, with about 7000 metres of total ascent and similar total descent, crossing 7 Himalayan passes.