#bagmati — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #bagmati, aggregated by home.social.
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Nearly 160,000 women, girls affected by Nepal floods
In Brief:
157,050 women and girls affected in #Rasuwa and #NuwakotDisaster toll: 500+ killed, nearly 1,000 missing, 10,000 homes destroyed
Survivors face shortages of #food, #water, #health and #protection services
Patricia Fernandez-Pacheco: "Existing risks skyrocket when disasters hit"
One in three #women in affected districts is illiterate, limiting access to relief
One-third of households in #Bagmati headed by women, many reliant on remittances
#UN Women mobilising Community Kitchen initiative for food and livelihoods
Agency has appealed for US$2 million to support women and girls at risk
https://thehimalayantimes.com/nepal/nearly-160000-women-girls-affected-by-nepal-floods-un-women
#Nepal
#Tibet
#BhotekoshiFlood
#NepaliFlood
#FlashFlood
#EndFossilFuels -
Nearly 160,000 women, girls affected by Nepal floods
In Brief:
157,050 women and girls affected in #Rasuwa and #NuwakotDisaster toll: 500+ killed, nearly 1,000 missing, 10,000 homes destroyed
Survivors face shortages of #food, #water, #health and #protection services
Patricia Fernandez-Pacheco: "Existing risks skyrocket when disasters hit"
One in three #women in affected districts is illiterate, limiting access to relief
One-third of households in #Bagmati headed by women, many reliant on remittances
#UN Women mobilising Community Kitchen initiative for food and livelihoods
Agency has appealed for US$2 million to support women and girls at risk
https://thehimalayantimes.com/nepal/nearly-160000-women-girls-affected-by-nepal-floods-un-women
#Nepal
#Tibet
#BhotekoshiFlood
#NepaliFlood
#FlashFlood
#EndFossilFuels -
Nearly 160,000 women, girls affected by Nepal floods
In Brief:
157,050 women and girls affected in #Rasuwa and #NuwakotDisaster toll: 500+ killed, nearly 1,000 missing, 10,000 homes destroyed
Survivors face shortages of #food, #water, #health and #protection services
Patricia Fernandez-Pacheco: "Existing risks skyrocket when disasters hit"
One in three #women in affected districts is illiterate, limiting access to relief
One-third of households in #Bagmati headed by women, many reliant on remittances
#UN Women mobilising Community Kitchen initiative for food and livelihoods
Agency has appealed for US$2 million to support women and girls at risk
https://thehimalayantimes.com/nepal/nearly-160000-women-girls-affected-by-nepal-floods-un-women
#Nepal
#Tibet
#BhotekoshiFlood
#NepaliFlood
#FlashFlood
#EndFossilFuels -
Nearly 160,000 women, girls affected by Nepal floods
In Brief:
157,050 women and girls affected in #Rasuwa and #NuwakotDisaster toll: 500+ killed, nearly 1,000 missing, 10,000 homes destroyed
Survivors face shortages of #food, #water, #health and #protection services
Patricia Fernandez-Pacheco: "Existing risks skyrocket when disasters hit"
One in three #women in affected districts is illiterate, limiting access to relief
One-third of households in #Bagmati headed by women, many reliant on remittances
#UN Women mobilising Community Kitchen initiative for food and livelihoods
Agency has appealed for US$2 million to support women and girls at risk
https://thehimalayantimes.com/nepal/nearly-160000-women-girls-affected-by-nepal-floods-un-women
#Nepal
#Tibet
#BhotekoshiFlood
#NepaliFlood
#FlashFlood
#EndFossilFuels -
Nearly 160,000 women, girls affected by Nepal floods
In Brief:
157,050 women and girls affected in #Rasuwa and #NuwakotDisaster toll: 500+ killed, nearly 1,000 missing, 10,000 homes destroyed
Survivors face shortages of #food, #water, #health and #protection services
Patricia Fernandez-Pacheco: "Existing risks skyrocket when disasters hit"
One in three #women in affected districts is illiterate, limiting access to relief
One-third of households in #Bagmati headed by women, many reliant on remittances
#UN Women mobilising Community Kitchen initiative for food and livelihoods
Agency has appealed for US$2 million to support women and girls at risk
https://thehimalayantimes.com/nepal/nearly-160000-women-girls-affected-by-nepal-floods-un-women
#Nepal
#Tibet
#BhotekoshiFlood
#NepaliFlood
#FlashFlood
#EndFossilFuels -
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
