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#himalayas — Public Fediverse posts

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

  1. Compound Hydrogeomorphic Cascades And Rapid Upstream To Downstream Hazard Coupling In The Eastern Himalaya
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    doi.org/10.1038/s41598-026-529 <-- shared paper
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    doi.org/10.1007/s11600-022-009 <-- shared paper
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    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...”
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    “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

  2. 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
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    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

  3. 💁🏻‍♀️ 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

  4. 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

  5. Improving Forest Loss Mapping In Nepal Using Landtrendr Time-Series And Machine Learning
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    doi.org/10.1016/j.rsase.2025.1 <-- share paper
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    “HIGHLIGHTS:
    • ViT-based forest mask, multispectral ensemble LandTrendr and terrain shadow mask.
    • District-level RF/XGBoost model training with expert-weighted validation.
    • Outperformed GFC and REDD + AI benchmarks in accuracy and F1 performance.
    • RF excelled in High Mountains/Himalayas; XGBoost in the lower Mountain regions.
    • NBR contributed the most; snow-impacted forest loss uncertainty was observed..."
    #Forestdisturbance #forest #disturbance #remotesensing #LandTrendr #workflow #timeseries #ViT #RF #XGBoost #GEE #Nepal #ForestNepal #spatial #GIS #mapping #earthobservation #landsat #Himalayas #mountains #alpine #vegetation #AI #multispectral #monitoring #spatialanalysis #spatiotemporal #loss #change #machinelearning #NDR #conservation #planning #policy #mitagion #ecology #Karnali #Bagmati, #Darchula #Siwalik #GlobalForestChange #Degradation

  6. Climate change is contributing to the decline in bee populations in Nepal, leading to the loss of a cliff-side honey gathering tradition.

    Fantastic photos of the villagers and the harvesting process

    aljazeera.com/gallery/2024/6/6

    #ClimateChange #Bees #Tradition #Nepal #Himalayas #MadHoney #Deforestation #PesticideUse

  7. A Weekend!

    Getting ready for the day.

    c1720 AD #Pahari #IndianMiniaturePainting from #Mankot #Ramkot in #Jammu #India now at The Metropolitan #museum of #art USA (The MET).

    'A #Nayika at her Toilette'.

    Attributed to a master artist of 'Swirling Skies' (2 centuries before #VincentVanGogh attempted this style).

    #IndianHeritage #mastoart #history #heritage #IndianHistory #painting #museums #paintings #Himalayas #JammuAndKashmir

    Good morning @pvonhellermannn and everyone
    Have a great weekend.

  8. Just a little update to the Emerald Tiger Moth (Callindra principalis) seen zipping about Bhutan at 2900m.

    I first saw one two days ago, and posted those pics above. But then yesterday while visiting Gangtey Gonpa another one landed right in front of me while walking the grounds of the gonpa!

    #Mothstodon

    #Bhutan #Phobjikha #Photography #Lumix #FlutterByes #Himalayas #Butterflies #NotButterflies #MothOrMonster #Callindra #TigerMoth