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#himalayas — Public Fediverse posts

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

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  1. The first silence I experienced wasn't quiet.

    When I stopped speaking, what rose up was everything I'd been drowning out.

    Have you ever sat with real silence, not just quiet but the kind that reveals what you've been avoiding?

    Read more

    medium.com/@clarainsweden/what

    #silenceretreat #meditation #himalayas
    #mindfulness #contemplativepractice #innerwork
    #spiritualpractice #yogaphilosophy #solitude

  2. A friend posted a photo of a book "Bird Tales From The Himalayas".

    Apart from sharing a folklore, I & the group I work with organized a book launch

    Apart from the eye catching cover & an association with the book I also just happen to live across from the peaks in the cover.

    So photo of the book caught my eye & Iit had to be followed up.

    sanctuarynaturefoundation.org/

    #himalayas #indiasnature #Books #TitliTrust #kalpavriksh #hHimalayanMonal #Panchachuli #Darma #Munsiari #bookCover

  3. After two unforgettable weeks in the #Himalayas, it was time to leave the mountains behind. I returned to Pokhara for a night before heading to my next stop: #Bandipur

    Is a small hilltop town in #Nepal that feels frozen in time

    No crowds, no traffic, just quiet streets, traditional houses, and incredible mountain views

    If you're rushing from Pokhara to Kathmandu, consider spending a night or two in Bandipur

    #travel

    elprismadefer.com/en/que-hacer

  4. 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

  5. RE: fosstodon.org/@stardust/116980

    "Peak Season" in the Nepali Himalayas is around springtime. From what I've heard, it's packed. The queues for the bridges can be hours long. I visited in winter. There were few tourists and no queues at the bridges. It can be chilly at night but bring a warm sleeping bag and you'll be fine. Highly recommended! 🗻 👍 😁 #Tourism #Travel #Nepal #Himalayas

  6. After Protests, Uttarakhand Halts Felling of 4,369 Trees for Highway Expansion

    sustained public protests, Uttarakhand government pauses felling of 4,369 trees for a highway project
    19 Jul 26

    thelogicalindian.com/uttarakha

    e sure to know the trees will be felled - illegally, at night or through some anti people quackery

    ***
    Anyone tracking India will realize everywhere it is a people versus injustice situation.

    #uttarakhand #trees #baddevelopment #himalayas #treefelling #roadwidening

    🧵 5/5

  7. Compound Hydrogeomorphic Cascades And Rapid Upstream To Downstream Hazard Coupling In The Eastern Himalaya
    --
    doi.org/10.1038/s41598-026-529 <-- shared paper
    --
    doi.org/10.1007/s11600-022-009 <-- shared paper
    --
    H/T @Kuldeep Dutta | Geology-Earth Science
    “… In hilly regions transitioning rapidly to low gradient alluvial plains, localized hydrometeorological triggers can instantly scale into devastating basin wide disasters. This study dissects the September 2020 cascading hazard in parts of the Arunachal Pradesh-Assam corridor to quantify the rapid coupling between upstream hillslopes and downstream floodplains.
    Check out the [attached graphical abstract figure] for an integrated visual workflow of the entire disaster continuum from hillslope failure to floodplain transformation...”
    --
    “Extreme precipitation in the Eastern Himalaya is increasingly associated with coupled hillslope-floodplain hazards. This study examines the 17th-18th September 2020 rainfall event in Arunachal Pradesh initiating landslides and its downstream impacts in Assam, India, using multi-sensor satellite data and long-term rainfall records. Sentinel-2 imagery was used to map landslides and debris flows, Sentinel-1 SAR data to delineate flood extent, and IMD gridded rainfall (1996–2020) to analyse rainfall spell characteristics. The event triggered widespread slope failures, localized landslide damming, and a subsequent breach, generating sediment-laden flows that inundated ~ 100 km² of the Dhemaji floodplain. A backscatter-derived Relative Flood Volume Index (RFVI) indicates spatial variability in inundation intensity, although it does not represent absolute flood volume. Rainfall analysis suggests that antecedent wetness from preceding spells preconditioned slopes, while peak daily rainfall (> 170 mm day−1) initiated landsliding. Power-law scaling shows negligible dependence of intensity on duration (R2 ≈ 0.0004), whereas cumulative rainfall exhibits a stronger relationship with duration (R2 ≈ 0.54). These results indicate distinct roles of rainfall intensity and accumulation in controlling landslide initiation and downstream flooding, respectively, highlighting the importance of compound rainfall forcing in rapid hydrogeomorphic cascades…”
    #EarthScience #RemoteSensing #Himalayas #NaturalHazards #ClimateChange #ScientificReports #GeospatialAnalysis #DisasterMitigation #Landslide #trigger #Flooding #massmovement #extremeweather #engineeringgeology #floodplain #innundation #hillslope #fluvial #pluvial #alluvial #sediment #sedimentation #hydrometeorology #ArunachalPradesh #Assam #India #Brahmaputra #risk #hazard #geology #engineeringgeology #remotesensing #earthobservation #spatialanalysis #spatiotemporal #disaster #hydrogeomorphology #workflow

  8. Zinc Isotopes Reveal Cross‐Border Transport of Coal Combustion #Pollutants Across the #Himalayas During the Summer #Monsoon - Jiao - 2026 - Geophysical Research Letters - Wiley Online Library

    agupubs.onlinelibrary.wiley.co

  9. Compound Hydrogeomorphic Cascades And Rapid Upstream To Downstream Hazard Coupling In The Eastern Himalaya
    --
    doi.org/10.1038/s41598-026-529 <-- shared paper
    --
    doi.org/10.5194/esurf-13-1281- <-- shared paper
    --
    doi.org/10.1007/s11069-025-077 <-- shared paper
    --
    [I recognise that the photo is instead for the floods, etc in Lubra, Nepal - but felt it better showed the hydrogeomorphical setting (sic) for the 'casual' post viewer...]
    H/T @Kuldeep Dutta
    “In hilly regions transitioning rapidly to low gradient alluvial plains, localized hydrometeorological triggers can instantly scale into devastating basin wide disasters. This study dissects the September 2020 cascading hazard in parts of the Arunachal Pradesh-Assam corridor to quantify the rapid coupling between upstream hillslopes and downstream floodplains…”
    --
    “Extreme precipitation in the Eastern Himalaya is increasingly associated with coupled hillslope-floodplain hazards. This study examines the 17th-18th September 2020 rainfall event in Arunachal Pradesh initiating landslides and its downstream impacts in Assam, India, using multi-sensor satellite data and long-term rainfall records. Sentinel-2 imagery was used to map landslides and debris flows, Sentinel-1 SAR data to delineate flood extent, and IMD gridded rainfall (1996–2020) to analyse rainfall spell characteristics. The event triggered widespread slope failures, localized landslide damming, and a subsequent breach, generating sediment-laden flows that inundated ~ 100 km2 of the Dhemaji floodplain. A backscatter-derived Relative Flood Volume Index (RFVI) indicates spatial variability in inundation intensity, although it does not represent absolute flood volume. Rainfall analysis suggests that antecedent wetness from preceding spells preconditioned slopes, while peak daily rainfall (> 170 mm/day/) initiated landsliding. Power-law scaling shows negligible dependence of intensity on duration (R² ≈ 0.0004), whereas cumulative rainfall exhibits a stronger relationship with duration (R² ≈ 0.54). These results indicate distinct roles of rainfall intensity and accumulation in controlling landslide initiation and downstream flooding, respectively, highlighting the importance of compound rainfall forcing in rapid hydrogeomorphic cascades...”
    #EarthScience #RemoteSensing #Himalayas #NaturalHazards #ClimateChange #ScientificReports #GeospatialAnalysis #DisasterMitigation #Landslide #Flooding #alluvial #fluvial #water #hydrology #hydrography #flood #flooding #spatialanalysis #spatiotemporal #mountain #plain #hydrometeorological #hydrogeomorphology #ArunachalPradesh #Assam #India #hillslope #floodplain #rainfall #precipitation #extremeweather #engineeringgeology #massmovement #landslide #debrisflow #risk #hazard #monitoring #GIS #spatial #mapping #remotesensing #satellite #Sentinel #sedimentation #humanimpacts #infrastructure #damage #cost #economics #public #safety #model #modeling #downstream

  10. 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

  11. 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

  12. Hello Mastodon!

    I am Ram Hari, and I'm highly interested in learning new things, connecting with people, and exploring the breathtaking beauty of the mountains.

    I am excited to share my journey, insights, and adventures with you all. You can check out what I do here: thrillhimalaya.com/

    Looking forward to connecting with fellow adventurers, creators, and lifelong learners! 🏔️✨

    #Introduction #Travel #Himalayas #Adventure #Trekking #LearningNewThings #NewHere

  13. 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

  14. There was a bleached tree beneath the Himalayas, stripped by wind, still standing.

    Looking at it, I understood, impermanence isn't sad, it's beautiful.

    What in nature has taught you something words couldn't explain?

    #impermanence #nature #buddhism
    #mountains #meditation #himalayas
    #contemplativepractice #mindfulness #spiritualjourney

  15. There are benches and then there are benches.

    Never seen one like this, at charming roadside tea shop, with (shockingly) parking for a dozen vehicles

    Among the more interesting furniture was this absolutely delight of a bench made from straight wooden branches, not sure the species , initially thought Chir Pine (Pinux roxburghii) but maybe not.

    #art #craft #furniture #himalayas #india #IndiasNature #teashop #wood #bench

  16. 💁🏻‍♀️ 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