#karnali — Public Fediverse posts

Upstream Hydrology And The Importance Of Snowmelt In Buffering Droughts In The Karnali Basin In Nepal
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https://doi.org/10.3389/frwa.2025.1720178 <-- shared paper
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https://nepalitimes.com/banner/a-karnali-portrait <-- shared media article
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https://youtu.be/ns7jytSwpng?si=rGm90l9FC_ahHum5 <-- shared video, Megh Ale, Nepal River Conservation Trust on the Karnali R.
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#water #hydrology #hydrography #surfacewater #catchment #waterresources #Nepal #Karnali #snowmelt #drought #SPHY #model #modeling #ERA5 #Himalya #river #basin #fluvial #pluvial #precipitation #rainfall #discharge #history #record #weather #climate #snow #climatechange #watersecurity #watersupply #conservation #planning #risk #hazard #rain #runoff #baseflow #waterbalance #evapotranspiration #ET #variability #spatiotemporal #change #time #streamflow #resilience

Upstream Hydrology And The Importance Of Snowmelt In Buffering Droughts In The Karnali Basin In Nepal
--
https://doi.org/10.3389/frwa.2025.1720178 <-- shared paper
--
https://nepalitimes.com/banner/a-karnali-portrait <-- shared media article
--
https://youtu.be/ns7jytSwpng?si=rGm90l9FC_ahHum5 <-- shared video, Megh Ale, Nepal River Conservation Trust on the Karnali R.
--
#water #hydrology #hydrography #surfacewater #catchment #waterresources #Nepal #Karnali #snowmelt #drought #SPHY #model #modeling #ERA5 #Himalya #river #basin #fluvial #pluvial #precipitation #rainfall #discharge #history #record #weather #climate #snow #climatechange #watersecurity #watersupply #conservation #planning #risk #hazard #rain #runoff #baseflow #waterbalance #evapotranspiration #ET #variability #spatiotemporal #change #time #streamflow #resilience

Upstream Hydrology And The Importance Of Snowmelt In Buffering Droughts In The Karnali Basin In Nepal
--
https://doi.org/10.3389/frwa.2025.1720178 <-- shared paper
--
https://nepalitimes.com/banner/a-karnali-portrait <-- shared media article
--
https://youtu.be/ns7jytSwpng?si=rGm90l9FC_ahHum5 <-- shared video, Megh Ale, Nepal River Conservation Trust on the Karnali R.
--
#water #hydrology #hydrography #surfacewater #catchment #waterresources #Nepal #Karnali #snowmelt #drought #SPHY #model #modeling #ERA5 #Himalya #river #basin #fluvial #pluvial #precipitation #rainfall #discharge #history #record #weather #climate #snow #climatechange #watersecurity #watersupply #conservation #planning #risk #hazard #rain #runoff #baseflow #waterbalance #evapotranspiration #ET #variability #spatiotemporal #change #time #streamflow #resilience

Upstream Hydrology And The Importance Of Snowmelt In Buffering Droughts In The Karnali Basin In Nepal
--
https://doi.org/10.3389/frwa.2025.1720178 <-- shared paper
--
https://nepalitimes.com/banner/a-karnali-portrait <-- shared media article
--
https://youtu.be/ns7jytSwpng?si=rGm90l9FC_ahHum5 <-- shared video, Megh Ale, Nepal River Conservation Trust on the Karnali R.
--
#water #hydrology #hydrography #surfacewater #catchment #waterresources #Nepal #Karnali #snowmelt #drought #SPHY #model #modeling #ERA5 #Himalya #river #basin #fluvial #pluvial #precipitation #rainfall #discharge #history #record #weather #climate #snow #climatechange #watersecurity #watersupply #conservation #planning #risk #hazard #rain #runoff #baseflow #waterbalance #evapotranspiration #ET #variability #spatiotemporal #change #time #streamflow #resilience

Upstream Hydrology And The Importance Of Snowmelt In Buffering Droughts In The Karnali Basin In Nepal
--
https://doi.org/10.3389/frwa.2025.1720178 <-- shared paper
--
https://nepalitimes.com/banner/a-karnali-portrait <-- shared media article
--
https://youtu.be/ns7jytSwpng?si=rGm90l9FC_ahHum5 <-- shared video, Megh Ale, Nepal River Conservation Trust on the Karnali R.
--
#water #hydrology #hydrography #surfacewater #catchment #waterresources #Nepal #Karnali #snowmelt #drought #SPHY #model #modeling #ERA5 #Himalya #river #basin #fluvial #pluvial #precipitation #rainfall #discharge #history #record #weather #climate #snow #climatechange #watersecurity #watersupply #conservation #planning #risk #hazard #rain #runoff #baseflow #waterbalance #evapotranspiration #ET #variability #spatiotemporal #change #time #streamflow #resilience

Improving Forest Loss Mapping In Nepal Using Landtrendr Time-Series And Machine Learning
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https://doi.org/10.1016/j.rsase.2025.101864 <-- share paper
--
“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

Improving Forest Loss Mapping In Nepal Using Landtrendr Time-Series And Machine Learning
--
https://doi.org/10.1016/j.rsase.2025.101864 <-- share paper
--
“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

Improving Forest Loss Mapping In Nepal Using Landtrendr Time-Series And Machine Learning
--
https://doi.org/10.1016/j.rsase.2025.101864 <-- share paper
--
“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

Improving Forest Loss Mapping In Nepal Using Landtrendr Time-Series And Machine Learning
--
https://doi.org/10.1016/j.rsase.2025.101864 <-- share paper
--
“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

Improving Forest Loss Mapping In Nepal Using Landtrendr Time-Series And Machine Learning
--
https://doi.org/10.1016/j.rsase.2025.101864 <-- share paper
--
“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

🇳🇵 An #earthquake (#भूकम्प) happened in #Karnali, #Nepal 17mins ago at 4:42PM on 26/03/2023 UTC. The earthquake had a magnitude of M3.6 and it was 10km (6.21 miles) deep in the ground. Stay safe! #sismo #quake

Site Used: https://cutt.ly/d4DhcFd
Information from EMSC.

Unser Freund Tej Bagale ist heute in den Bezirk #Kalikot in #Nepal aufgebrochen, um vor Ort den Bedarf an unseren #Solarsystemen zu bewerten.

Kalikot ist einer der Bezirke im äußersten Westen Nepals. Er liegt in der #Karnali-Zone und ist ein rückständiger Bezirk im Bereich #Entwicklung, #Bildung, #Verkehr und andere Entwicklungsinfrastrukturen, ist aber sehr reich an natürlichen Ressourcen.
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