#hydrology — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #hydrology, aggregated by home.social.
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For flash-drought early warning, which single indicator has served you best? VPD, soil moisture, ET anomaly, an index? My hunch is VPD, but I want to be argued with.
#Drought #RemoteSensing #Hydrology #ClimateChange -
For flash-drought early warning, which single indicator has served you best? VPD, soil moisture, ET anomaly, an index? My hunch is VPD, but I want to be argued with.
#Drought #RemoteSensing #Hydrology #ClimateChange -
For flash-drought early warning, which single indicator has served you best? VPD, soil moisture, ET anomaly, an index? My hunch is VPD, but I want to be argued with.
#Drought #RemoteSensing #Hydrology #ClimateChange -
For flash-drought early warning, which single indicator has served you best? VPD, soil moisture, ET anomaly, an index? My hunch is VPD, but I want to be argued with.
#Drought #RemoteSensing #Hydrology #ClimateChange -
For flash-drought early warning, which single indicator has served you best? VPD, soil moisture, ET anomaly, an index? My hunch is VPD, but I want to be argued with.
#Drought #RemoteSensing #Hydrology #ClimateChange -
Where The Water Once Flowed - Rivers And Lakes Dry Up As Droughts Take Toll
(Surreal images of scorched landscapes where water once flowed, as severe droughts lead to dwindling water supplies around the world.)
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https://www.reuters.com/pictures/where-water-once-flowed-rivers-lakes-dry-up-droughts-take-toll-2026-08-14/ <-- shared media article
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[damn!]
#water #hydrology #hydrography #waterresources #rivers #lakes #photojournalism #drought #climatechange #extremeweather #heatwave #temperature #watershortage #global #risk #hazard #infrastructure #watermanagement #global #impacts #watersecurity #humanimpacts #publichealth -
Where The Water Once Flowed - Rivers And Lakes Dry Up As Droughts Take Toll
(Surreal images of scorched landscapes where water once flowed, as severe droughts lead to dwindling water supplies around the world.)
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https://www.reuters.com/pictures/where-water-once-flowed-rivers-lakes-dry-up-droughts-take-toll-2026-08-14/ <-- shared media article
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[damn!]
#water #hydrology #hydrography #waterresources #rivers #lakes #photojournalism #drought #climatechange #extremeweather #heatwave #temperature #watershortage #global #risk #hazard #infrastructure #watermanagement #global #impacts #watersecurity #humanimpacts #publichealth -
Where The Water Once Flowed - Rivers And Lakes Dry Up As Droughts Take Toll
(Surreal images of scorched landscapes where water once flowed, as severe droughts lead to dwindling water supplies around the world.)
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https://www.reuters.com/pictures/where-water-once-flowed-rivers-lakes-dry-up-droughts-take-toll-2026-08-14/ <-- shared media article
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[damn!]
#water #hydrology #hydrography #waterresources #rivers #lakes #photojournalism #drought #climatechange #extremeweather #heatwave #temperature #watershortage #global #risk #hazard #infrastructure #watermanagement #global #impacts #watersecurity #humanimpacts #publichealth -
Where The Water Once Flowed - Rivers And Lakes Dry Up As Droughts Take Toll
(Surreal images of scorched landscapes where water once flowed, as severe droughts lead to dwindling water supplies around the world.)
--
https://www.reuters.com/pictures/where-water-once-flowed-rivers-lakes-dry-up-droughts-take-toll-2026-08-14/ <-- shared media article
--
[damn!]
#water #hydrology #hydrography #waterresources #rivers #lakes #photojournalism #drought #climatechange #extremeweather #heatwave #temperature #watershortage #global #risk #hazard #infrastructure #watermanagement #global #impacts #watersecurity #humanimpacts #publichealth -
Where The Water Once Flowed - Rivers And Lakes Dry Up As Droughts Take Toll
(Surreal images of scorched landscapes where water once flowed, as severe droughts lead to dwindling water supplies around the world.)
--
https://www.reuters.com/pictures/where-water-once-flowed-rivers-lakes-dry-up-droughts-take-toll-2026-08-14/ <-- shared media article
--
[damn!]
#water #hydrology #hydrography #waterresources #rivers #lakes #photojournalism #drought #climatechange #extremeweather #heatwave #temperature #watershortage #global #risk #hazard #infrastructure #watermanagement #global #impacts #watersecurity #humanimpacts #publichealth -
Multiyear tropical warm pool warming drives slowdown in Antarctic mass loss
Data Ice mass variability was quantified using GRACE and GRACE-FO gravimetry data50 spanning 2003–2024. SMB (precipitation minus meltwater…
#NewsBeep #News #Environment #Atmosphericdynamics #AU #Australia #Cryosphericscience #HumanitiesandSocialSciences #hydrology #multidisciplinary #Science
https://www.newsbeep.com/au/861464/ -
Multiyear tropical warm pool warming drives slowdown in Antarctic mass loss
Data Ice mass variability was quantified using GRACE and GRACE-FO gravimetry data50 spanning 2003–2024. SMB (precipitation minus meltwater…
#NewsBeep #News #Environment #Atmosphericdynamics #AU #Australia #Cryosphericscience #HumanitiesandSocialSciences #hydrology #multidisciplinary #Science
https://www.newsbeep.com/au/861464/ -
https://www.europesays.com/ie/646166/ Multiyear tropical warm pool warming drives slowdown in Antarctic mass loss #AtmosphericDynamics #CryosphericScience #Éire #Environment #HumanitiesAndSocialSciences #Hydrology #IE #Ireland #multidisciplinary #Science
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🎉We did it!
Thanks to the amazing support from the #QGIS community, both the initial €6000 goal and the extended €7000 goal have been achieved.
Native #hydrology tools and the new flow direction & wind barb renderers will land in QGIS 4.4.
More info: www.qwast-gis.com/l/crowdfundi... -
🎉We did it!
Thanks to the amazing support from the #QGIS community, both the initial €6000 goal and the extended €7000 goal have been achieved.
Native #hydrology tools and the new flow direction & wind barb renderers will land in QGIS 4.4.
More info: www.qwast-gis.com/l/crowdfundi... -
🎉We did it!
Thanks to the amazing support from the #QGIS community, both the initial €6000 goal and the extended €7000 goal have been achieved.
Native #hydrology tools and the new flow direction & wind barb renderers will land in QGIS 4.4.
Thank you to everyone who contributed! 💚More info about the features that will be implemented by @northroadgeo and @lutraconsulting: https://www.qwast-gis.com/l/crowdfunding-native-qgis-tools-for-hydrology/
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🎉We did it!
Thanks to the amazing support from the #QGIS community, both the initial €6000 goal and the extended €7000 goal have been achieved.
Native #hydrology tools and the new flow direction & wind barb renderers will land in QGIS 4.4.
Thank you to everyone who contributed! 💚More info about the features that will be implemented by @northroadgeo and @lutraconsulting: https://www.qwast-gis.com/l/crowdfunding-native-qgis-tools-for-hydrology/
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🎉We did it!
Thanks to the amazing support from the #QGIS community, both the initial €6000 goal and the extended €7000 goal have been achieved.
Native #hydrology tools and the new flow direction & wind barb renderers will land in QGIS 4.4.
Thank you to everyone who contributed! 💚More info about the features that will be implemented by @northroadgeo and @lutraconsulting: https://www.qwast-gis.com/l/crowdfunding-native-qgis-tools-for-hydrology/
-
🎉We did it!
Thanks to the amazing support from the #QGIS community, both the initial €6000 goal and the extended €7000 goal have been achieved.
Native #hydrology tools and the new flow direction & wind barb renderers will land in QGIS 4.4.
Thank you to everyone who contributed! 💚More info about the features that will be implemented by @northroadgeo and @lutraconsulting: https://www.qwast-gis.com/l/crowdfunding-native-qgis-tools-for-hydrology/
-
🎉We did it!
Thanks to the amazing support from the #QGIS community, both the initial €6000 goal and the extended €7000 goal have been achieved.
Native #hydrology tools and the new flow direction & wind barb renderers will land in QGIS 4.4.
Thank you to everyone who contributed! 💚More info about the features that will be implemented by @northroadgeo and @lutraconsulting: https://www.qwast-gis.com/l/crowdfunding-native-qgis-tools-for-hydrology/
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Eventually the riverbed stabilizes into a new landscape and the intern builds houses and plants trees along the banks.
#science #hydrology #erosion #SciComm -
Eventually the riverbed stabilizes into a new landscape and the intern builds houses and plants trees along the banks.
#science #hydrology #erosion #SciComm -
Eventually the riverbed stabilizes into a new landscape and the intern builds houses and plants trees along the banks.
#science #hydrology #erosion #SciComm -
Eventually the riverbed stabilizes into a new landscape and the intern builds houses and plants trees along the banks.
#science #hydrology #erosion #SciComm -
The stream table is an old favorite at the county Fair. All the employees love it because they get to play like little kids. And little kids love it because sandbox!
(Technically it's not sand, it's micro plastics. Hey at least it's not in the soil I guess. The different colored particles have different weight/density.)
#science #erosion #hydrology #SciComm -
The stream table is an old favorite at the county Fair. All the employees love it because they get to play like little kids. And little kids love it because sandbox!
(Technically it's not sand, it's micro plastics. Hey at least it's not in the soil I guess. The different colored particles have different weight/density.)
#science #erosion #hydrology #SciComm -
The stream table is an old favorite at the county Fair. All the employees love it because they get to play like little kids. And little kids love it because sandbox!
(Technically it's not sand, it's micro plastics. Hey at least it's not in the soil I guess. The different colored particles have different weight/density.)
#science #erosion #hydrology #SciComm -
The stream table is an old favorite at the county Fair. All the employees love it because they get to play like little kids. And little kids love it because sandbox!
(Technically it's not sand, it's micro plastics. Hey at least it's not in the soil I guess. The different colored particles have different weight/density.)
#science #erosion #hydrology #SciComm -
Bankfull discharge is the maximum amount of water a river channel can hold before it spills onto its floodplain, a critical threshold for accurate flood modeling.
#Hydrology #Climatology #EnvironmentalEngineering #sflorg
https://www.sflorg.com/2026/08/eng08182601.html -
Bankfull discharge is the maximum amount of water a river channel can hold before it spills onto its floodplain, a critical threshold for accurate flood modeling.
#Hydrology #Climatology #EnvironmentalEngineering #sflorg
https://www.sflorg.com/2026/08/eng08182601.html -
Bankfull discharge is the maximum amount of water a river channel can hold before it spills onto its floodplain, a critical threshold for accurate flood modeling.
#Hydrology #Climatology #EnvironmentalEngineering #sflorg
https://www.sflorg.com/2026/08/eng08182601.html -
Bankfull discharge is the maximum amount of water a river channel can hold before it spills onto its floodplain, a critical threshold for accurate flood modeling.
#Hydrology #Climatology #EnvironmentalEngineering #sflorg
https://www.sflorg.com/2026/08/eng08182601.html -
Bankfull discharge is the maximum amount of water a river channel can hold before it spills onto its floodplain, a critical threshold for accurate flood modeling.
#Hydrology #Climatology #EnvironmentalEngineering #sflorg
https://www.sflorg.com/2026/08/eng08182601.html -
Spatiotemporal Distribution, Climatic Factors, And Seasonal Precipitation Patterns Characterizing 66 Years Of Widespread Shallow Landslide Events In Piedmont (Northwestern Italy)
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https://doi.org/10.3389/feart.2026.1884300 <-- shared paper
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“Widespread shallow landslide events constitute one of the primary drivers of recurrent societal and economic losses in mountain regions. Although the influence of climate variability on landslide frequency and magnitude has been widely recognized, long-term, event-level analyses linking spatiotemporal landslide patterns to precipitation climatology at the regional scale remain scarce. This study presents a statistical analysis of 128 widespread shallow landslide events recorded in Piedmont, northwestern Italy, over the 66-year period 1960–2025, cross-referenced against the regional precipitation climatology. Events were characterized by season, primary physiographic unit, provincial coverage, and an ordinal magnitude index (scale 1–7) encoding combined spatial extent and estimated landslide count. Results indicate that no statistically significant monotonic trend in event frequency was detected over the study period (mean rate: 1.97 events yr⁻1); however, a moderate positive correlation was established between event magnitude and the number of provinces affected (R2 = 0.51, p < 0.00), validating the magnitude index as a proxy for spatial footprint. Mean event magnitude reached its highest value in the 2010s (3.71), while all five events of magnitude ≥ 6 occurred in autumn. The summer fraction of the catalogue increased markedly, from 6% in the 1960s to 31% in the 2000s and 25% in the 2020s, concurrent with stable or declining summer mean precipitation totals, consistent with Clausius–Clapeyron amplification of convective intensity under documented regional warming. Cross-analysis with regional records identifies three tiers of rainfall–landslide coupling: a stationary direct seasonal coupling; a non-stationary, strengthening intensity-mediated summer coupling; and a structural susceptibility-mediated spatial decoupling whereby the driest provinces generate the highest landslide occurrence frequencies due to the lower triggering thresholds characteristic of Tertiary Piedmont Basin sedimentary environments. A post-hoc assessment of the triggering thresholds used for regional shallow landslide early warning system demonstrates superior detection performance for high-magnitude autumn events (hit rate up to 89% for the 2000–2025 sub-period) and identifies sub-daily convective accumulation windows in summer as the primary domain requiring threshold recalibration…”
#massmovement #landslide #engineeringgeology #Italy #Piedmont #NorthernItaly #weather #rainfall #precipitation #climate #risk #hazard #corrleation #relationship #earlywarningsystems #damage #loss #community #infrastructure #mountain #spatiotemporal #mapping #spatialanalysis #statistics #geostatistics #climatology #regional #scale #weatherpatterns #physiography #geomorphology #water #hydrology #hydrogeomorphology #geology #soils -
Spatiotemporal Distribution, Climatic Factors, And Seasonal Precipitation Patterns Characterizing 66 Years Of Widespread Shallow Landslide Events In Piedmont (Northwestern Italy)
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https://doi.org/10.3389/feart.2026.1884300 <-- shared paper
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“Widespread shallow landslide events constitute one of the primary drivers of recurrent societal and economic losses in mountain regions. Although the influence of climate variability on landslide frequency and magnitude has been widely recognized, long-term, event-level analyses linking spatiotemporal landslide patterns to precipitation climatology at the regional scale remain scarce. This study presents a statistical analysis of 128 widespread shallow landslide events recorded in Piedmont, northwestern Italy, over the 66-year period 1960–2025, cross-referenced against the regional precipitation climatology. Events were characterized by season, primary physiographic unit, provincial coverage, and an ordinal magnitude index (scale 1–7) encoding combined spatial extent and estimated landslide count. Results indicate that no statistically significant monotonic trend in event frequency was detected over the study period (mean rate: 1.97 events yr⁻1); however, a moderate positive correlation was established between event magnitude and the number of provinces affected (R2 = 0.51, p < 0.00), validating the magnitude index as a proxy for spatial footprint. Mean event magnitude reached its highest value in the 2010s (3.71), while all five events of magnitude ≥ 6 occurred in autumn. The summer fraction of the catalogue increased markedly, from 6% in the 1960s to 31% in the 2000s and 25% in the 2020s, concurrent with stable or declining summer mean precipitation totals, consistent with Clausius–Clapeyron amplification of convective intensity under documented regional warming. Cross-analysis with regional records identifies three tiers of rainfall–landslide coupling: a stationary direct seasonal coupling; a non-stationary, strengthening intensity-mediated summer coupling; and a structural susceptibility-mediated spatial decoupling whereby the driest provinces generate the highest landslide occurrence frequencies due to the lower triggering thresholds characteristic of Tertiary Piedmont Basin sedimentary environments. A post-hoc assessment of the triggering thresholds used for regional shallow landslide early warning system demonstrates superior detection performance for high-magnitude autumn events (hit rate up to 89% for the 2000–2025 sub-period) and identifies sub-daily convective accumulation windows in summer as the primary domain requiring threshold recalibration…”
#massmovement #landslide #engineeringgeology #Italy #Piedmont #NorthernItaly #weather #rainfall #precipitation #climate #risk #hazard #corrleation #relationship #earlywarningsystems #damage #loss #community #infrastructure #mountain #spatiotemporal #mapping #spatialanalysis #statistics #geostatistics #climatology #regional #scale #weatherpatterns #physiography #geomorphology #water #hydrology #hydrogeomorphology #geology #soils -
Spatiotemporal Distribution, Climatic Factors, And Seasonal Precipitation Patterns Characterizing 66 Years Of Widespread Shallow Landslide Events In Piedmont (Northwestern Italy)
--
https://doi.org/10.3389/feart.2026.1884300 <-- shared paper
--
“Widespread shallow landslide events constitute one of the primary drivers of recurrent societal and economic losses in mountain regions. Although the influence of climate variability on landslide frequency and magnitude has been widely recognized, long-term, event-level analyses linking spatiotemporal landslide patterns to precipitation climatology at the regional scale remain scarce. This study presents a statistical analysis of 128 widespread shallow landslide events recorded in Piedmont, northwestern Italy, over the 66-year period 1960–2025, cross-referenced against the regional precipitation climatology. Events were characterized by season, primary physiographic unit, provincial coverage, and an ordinal magnitude index (scale 1–7) encoding combined spatial extent and estimated landslide count. Results indicate that no statistically significant monotonic trend in event frequency was detected over the study period (mean rate: 1.97 events yr⁻1); however, a moderate positive correlation was established between event magnitude and the number of provinces affected (R2 = 0.51, p < 0.00), validating the magnitude index as a proxy for spatial footprint. Mean event magnitude reached its highest value in the 2010s (3.71), while all five events of magnitude ≥ 6 occurred in autumn. The summer fraction of the catalogue increased markedly, from 6% in the 1960s to 31% in the 2000s and 25% in the 2020s, concurrent with stable or declining summer mean precipitation totals, consistent with Clausius–Clapeyron amplification of convective intensity under documented regional warming. Cross-analysis with regional records identifies three tiers of rainfall–landslide coupling: a stationary direct seasonal coupling; a non-stationary, strengthening intensity-mediated summer coupling; and a structural susceptibility-mediated spatial decoupling whereby the driest provinces generate the highest landslide occurrence frequencies due to the lower triggering thresholds characteristic of Tertiary Piedmont Basin sedimentary environments. A post-hoc assessment of the triggering thresholds used for regional shallow landslide early warning system demonstrates superior detection performance for high-magnitude autumn events (hit rate up to 89% for the 2000–2025 sub-period) and identifies sub-daily convective accumulation windows in summer as the primary domain requiring threshold recalibration…”
#massmovement #landslide #engineeringgeology #Italy #Piedmont #NorthernItaly #weather #rainfall #precipitation #climate #risk #hazard #corrleation #relationship #earlywarningsystems #damage #loss #community #infrastructure #mountain #spatiotemporal #mapping #spatialanalysis #statistics #geostatistics #climatology #regional #scale #weatherpatterns #physiography #geomorphology #water #hydrology #hydrogeomorphology #geology #soils -
Spatiotemporal Distribution, Climatic Factors, And Seasonal Precipitation Patterns Characterizing 66 Years Of Widespread Shallow Landslide Events In Piedmont (Northwestern Italy)
--
https://doi.org/10.3389/feart.2026.1884300 <-- shared paper
--
“Widespread shallow landslide events constitute one of the primary drivers of recurrent societal and economic losses in mountain regions. Although the influence of climate variability on landslide frequency and magnitude has been widely recognized, long-term, event-level analyses linking spatiotemporal landslide patterns to precipitation climatology at the regional scale remain scarce. This study presents a statistical analysis of 128 widespread shallow landslide events recorded in Piedmont, northwestern Italy, over the 66-year period 1960–2025, cross-referenced against the regional precipitation climatology. Events were characterized by season, primary physiographic unit, provincial coverage, and an ordinal magnitude index (scale 1–7) encoding combined spatial extent and estimated landslide count. Results indicate that no statistically significant monotonic trend in event frequency was detected over the study period (mean rate: 1.97 events yr⁻1); however, a moderate positive correlation was established between event magnitude and the number of provinces affected (R2 = 0.51, p < 0.00), validating the magnitude index as a proxy for spatial footprint. Mean event magnitude reached its highest value in the 2010s (3.71), while all five events of magnitude ≥ 6 occurred in autumn. The summer fraction of the catalogue increased markedly, from 6% in the 1960s to 31% in the 2000s and 25% in the 2020s, concurrent with stable or declining summer mean precipitation totals, consistent with Clausius–Clapeyron amplification of convective intensity under documented regional warming. Cross-analysis with regional records identifies three tiers of rainfall–landslide coupling: a stationary direct seasonal coupling; a non-stationary, strengthening intensity-mediated summer coupling; and a structural susceptibility-mediated spatial decoupling whereby the driest provinces generate the highest landslide occurrence frequencies due to the lower triggering thresholds characteristic of Tertiary Piedmont Basin sedimentary environments. A post-hoc assessment of the triggering thresholds used for regional shallow landslide early warning system demonstrates superior detection performance for high-magnitude autumn events (hit rate up to 89% for the 2000–2025 sub-period) and identifies sub-daily convective accumulation windows in summer as the primary domain requiring threshold recalibration…”
#massmovement #landslide #engineeringgeology #Italy #Piedmont #NorthernItaly #weather #rainfall #precipitation #climate #risk #hazard #corrleation #relationship #earlywarningsystems #damage #loss #community #infrastructure #mountain #spatiotemporal #mapping #spatialanalysis #statistics #geostatistics #climatology #regional #scale #weatherpatterns #physiography #geomorphology #water #hydrology #hydrogeomorphology #geology #soils -
Spatiotemporal Distribution, Climatic Factors, And Seasonal Precipitation Patterns Characterizing 66 Years Of Widespread Shallow Landslide Events In Piedmont (Northwestern Italy)
--
https://doi.org/10.3389/feart.2026.1884300 <-- shared paper
--
“Widespread shallow landslide events constitute one of the primary drivers of recurrent societal and economic losses in mountain regions. Although the influence of climate variability on landslide frequency and magnitude has been widely recognized, long-term, event-level analyses linking spatiotemporal landslide patterns to precipitation climatology at the regional scale remain scarce. This study presents a statistical analysis of 128 widespread shallow landslide events recorded in Piedmont, northwestern Italy, over the 66-year period 1960–2025, cross-referenced against the regional precipitation climatology. Events were characterized by season, primary physiographic unit, provincial coverage, and an ordinal magnitude index (scale 1–7) encoding combined spatial extent and estimated landslide count. Results indicate that no statistically significant monotonic trend in event frequency was detected over the study period (mean rate: 1.97 events yr⁻1); however, a moderate positive correlation was established between event magnitude and the number of provinces affected (R2 = 0.51, p < 0.00), validating the magnitude index as a proxy for spatial footprint. Mean event magnitude reached its highest value in the 2010s (3.71), while all five events of magnitude ≥ 6 occurred in autumn. The summer fraction of the catalogue increased markedly, from 6% in the 1960s to 31% in the 2000s and 25% in the 2020s, concurrent with stable or declining summer mean precipitation totals, consistent with Clausius–Clapeyron amplification of convective intensity under documented regional warming. Cross-analysis with regional records identifies three tiers of rainfall–landslide coupling: a stationary direct seasonal coupling; a non-stationary, strengthening intensity-mediated summer coupling; and a structural susceptibility-mediated spatial decoupling whereby the driest provinces generate the highest landslide occurrence frequencies due to the lower triggering thresholds characteristic of Tertiary Piedmont Basin sedimentary environments. A post-hoc assessment of the triggering thresholds used for regional shallow landslide early warning system demonstrates superior detection performance for high-magnitude autumn events (hit rate up to 89% for the 2000–2025 sub-period) and identifies sub-daily convective accumulation windows in summer as the primary domain requiring threshold recalibration…”
#massmovement #landslide #engineeringgeology #Italy #Piedmont #NorthernItaly #weather #rainfall #precipitation #climate #risk #hazard #corrleation #relationship #earlywarningsystems #damage #loss #community #infrastructure #mountain #spatiotemporal #mapping #spatialanalysis #statistics #geostatistics #climatology #regional #scale #weatherpatterns #physiography #geomorphology #water #hydrology #hydrogeomorphology #geology #soils -
Widespread Landslide Activity in an Extreme Wet Season and Implications for Regional Sediment Management, Eastern San Francisco Bay Area, California
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https://doi.org/10.1029/2026EA005227 <-- shared paper
--
H/T @amy East, Ph.D., P.G. | Researcher integrating geoscience and climate-change preparedness
“[This paper (link above) is] a collaboration with [the H/T’s] colleagues from [the] USGS Landslide Hazards Program, who mapped over 8,900 landslides in the eastern San Francisco Bay Area during an extreme wet winter.
How much sediment does such an extreme winter produce, from landslides or in stream discharge? How does that compare with long-term sediment production and landscape denudation rates?
[They] f[o]nd that landslide sediment mobilization is comparable to long-term denudation rates, emphasizing the role of extreme events in long-term sediment production. However, one extreme wet year has a negligible effect toward counteracting ongoing problems of sediment deficit in San Francisco Bay: to keep pace with sea-level rise, extreme wet conditions would need to occur in 50 out of the next 75 years…”
--
"PLAIN LANGUAGE SUMMARY: Watersheds will likely produce more sediment in a warmer future with more extreme rain, primarily through landslides in steep terrain. This study examines how an extremely wet season affected sediment production and transport in the eastern San Francisco Bay area, California. By mapping and measuring 8,928 landslides, [they] found that rare, extreme rain conditions are likely responsible for the vast majority of long-term hillslope erosion rates in this region. However, due to long residence times for sediment on hillslopes and in stream channels, a maximum of 1%–2% of that newly mobilized landslide material could have potentially contributed to sediment carried by streams into the Bay that year. Even extremely wet years cannot provide enough sediment for Bay wetlands and shorelines to keep pace with rising sea levels. To meet the demand for sediment in the Bay, such extreme rain and sediment production would need to occur in most years, which is not realistic. To restore wetlands and protect shorelines, managers likely will need to supplement the coastal system with repurposed dredged material…”
#massmovement #soil #water #hydrology #hydrography #geology #soils #geomorphometry #hydrogeomorphology #geomorphology #landslide #masswasting #climatechange #extremeweather #precipitation #rainfall #weather #climate #mapping #engineeringgeology #mapping #SanFrancisco #BayArea #USA #California #fedscience #fedservice #oublicgood #sediment #stream #discharge #extremewinter #sealevelrise #SLR #hillslope #erosion #sedimentation #tidal #wetlands #coast #coastline #shoreline #GIS #spatial #spatialanalysis #spatiotemporal #watershed
#USGS | #USGSLandslideHazardsProgram -
Widespread Landslide Activity in an Extreme Wet Season and Implications for Regional Sediment Management, Eastern San Francisco Bay Area, California
--
https://doi.org/10.1029/2026EA005227 <-- shared paper
--
H/T @amy East, Ph.D., P.G. | Researcher integrating geoscience and climate-change preparedness
“[This paper (link above) is] a collaboration with [the H/T’s] colleagues from [the] USGS Landslide Hazards Program, who mapped over 8,900 landslides in the eastern San Francisco Bay Area during an extreme wet winter.
How much sediment does such an extreme winter produce, from landslides or in stream discharge? How does that compare with long-term sediment production and landscape denudation rates?
[They] f[o]nd that landslide sediment mobilization is comparable to long-term denudation rates, emphasizing the role of extreme events in long-term sediment production. However, one extreme wet year has a negligible effect toward counteracting ongoing problems of sediment deficit in San Francisco Bay: to keep pace with sea-level rise, extreme wet conditions would need to occur in 50 out of the next 75 years…”
--
"PLAIN LANGUAGE SUMMARY: Watersheds will likely produce more sediment in a warmer future with more extreme rain, primarily through landslides in steep terrain. This study examines how an extremely wet season affected sediment production and transport in the eastern San Francisco Bay area, California. By mapping and measuring 8,928 landslides, [they] found that rare, extreme rain conditions are likely responsible for the vast majority of long-term hillslope erosion rates in this region. However, due to long residence times for sediment on hillslopes and in stream channels, a maximum of 1%–2% of that newly mobilized landslide material could have potentially contributed to sediment carried by streams into the Bay that year. Even extremely wet years cannot provide enough sediment for Bay wetlands and shorelines to keep pace with rising sea levels. To meet the demand for sediment in the Bay, such extreme rain and sediment production would need to occur in most years, which is not realistic. To restore wetlands and protect shorelines, managers likely will need to supplement the coastal system with repurposed dredged material…”
#massmovement #soil #water #hydrology #hydrography #geology #soils #geomorphometry #hydrogeomorphology #geomorphology #landslide #masswasting #climatechange #extremeweather #precipitation #rainfall #weather #climate #mapping #engineeringgeology #mapping #SanFrancisco #BayArea #USA #California #fedscience #fedservice #oublicgood #sediment #stream #discharge #extremewinter #sealevelrise #SLR #hillslope #erosion #sedimentation #tidal #wetlands #coast #coastline #shoreline #GIS #spatial #spatialanalysis #spatiotemporal #watershed
#USGS | #USGSLandslideHazardsProgram -
Widespread Landslide Activity in an Extreme Wet Season and Implications for Regional Sediment Management, Eastern San Francisco Bay Area, California
--
https://doi.org/10.1029/2026EA005227 <-- shared paper
--
H/T @amy East, Ph.D., P.G. | Researcher integrating geoscience and climate-change preparedness
“[This paper (link above) is] a collaboration with [the H/T’s] colleagues from [the] USGS Landslide Hazards Program, who mapped over 8,900 landslides in the eastern San Francisco Bay Area during an extreme wet winter.
How much sediment does such an extreme winter produce, from landslides or in stream discharge? How does that compare with long-term sediment production and landscape denudation rates?
[They] f[o]nd that landslide sediment mobilization is comparable to long-term denudation rates, emphasizing the role of extreme events in long-term sediment production. However, one extreme wet year has a negligible effect toward counteracting ongoing problems of sediment deficit in San Francisco Bay: to keep pace with sea-level rise, extreme wet conditions would need to occur in 50 out of the next 75 years…”
--
"PLAIN LANGUAGE SUMMARY: Watersheds will likely produce more sediment in a warmer future with more extreme rain, primarily through landslides in steep terrain. This study examines how an extremely wet season affected sediment production and transport in the eastern San Francisco Bay area, California. By mapping and measuring 8,928 landslides, [they] found that rare, extreme rain conditions are likely responsible for the vast majority of long-term hillslope erosion rates in this region. However, due to long residence times for sediment on hillslopes and in stream channels, a maximum of 1%–2% of that newly mobilized landslide material could have potentially contributed to sediment carried by streams into the Bay that year. Even extremely wet years cannot provide enough sediment for Bay wetlands and shorelines to keep pace with rising sea levels. To meet the demand for sediment in the Bay, such extreme rain and sediment production would need to occur in most years, which is not realistic. To restore wetlands and protect shorelines, managers likely will need to supplement the coastal system with repurposed dredged material…”
#massmovement #soil #water #hydrology #hydrography #geology #soils #geomorphometry #hydrogeomorphology #geomorphology #landslide #masswasting #climatechange #extremeweather #precipitation #rainfall #weather #climate #mapping #engineeringgeology #mapping #SanFrancisco #BayArea #USA #California #fedscience #fedservice #oublicgood #sediment #stream #discharge #extremewinter #sealevelrise #SLR #hillslope #erosion #sedimentation #tidal #wetlands #coast #coastline #shoreline #GIS #spatial #spatialanalysis #spatiotemporal #watershed
#USGS | #USGSLandslideHazardsProgram -
Widespread Landslide Activity in an Extreme Wet Season and Implications for Regional Sediment Management, Eastern San Francisco Bay Area, California
--
https://doi.org/10.1029/2026EA005227 <-- shared paper
--
H/T @amy East, Ph.D., P.G. | Researcher integrating geoscience and climate-change preparedness
“[This paper (link above) is] a collaboration with [the H/T’s] colleagues from [the] USGS Landslide Hazards Program, who mapped over 8,900 landslides in the eastern San Francisco Bay Area during an extreme wet winter.
How much sediment does such an extreme winter produce, from landslides or in stream discharge? How does that compare with long-term sediment production and landscape denudation rates?
[They] f[o]nd that landslide sediment mobilization is comparable to long-term denudation rates, emphasizing the role of extreme events in long-term sediment production. However, one extreme wet year has a negligible effect toward counteracting ongoing problems of sediment deficit in San Francisco Bay: to keep pace with sea-level rise, extreme wet conditions would need to occur in 50 out of the next 75 years…”
--
"PLAIN LANGUAGE SUMMARY: Watersheds will likely produce more sediment in a warmer future with more extreme rain, primarily through landslides in steep terrain. This study examines how an extremely wet season affected sediment production and transport in the eastern San Francisco Bay area, California. By mapping and measuring 8,928 landslides, [they] found that rare, extreme rain conditions are likely responsible for the vast majority of long-term hillslope erosion rates in this region. However, due to long residence times for sediment on hillslopes and in stream channels, a maximum of 1%–2% of that newly mobilized landslide material could have potentially contributed to sediment carried by streams into the Bay that year. Even extremely wet years cannot provide enough sediment for Bay wetlands and shorelines to keep pace with rising sea levels. To meet the demand for sediment in the Bay, such extreme rain and sediment production would need to occur in most years, which is not realistic. To restore wetlands and protect shorelines, managers likely will need to supplement the coastal system with repurposed dredged material…”
#massmovement #soil #water #hydrology #hydrography #geology #soils #geomorphometry #hydrogeomorphology #geomorphology #landslide #masswasting #climatechange #extremeweather #precipitation #rainfall #weather #climate #mapping #engineeringgeology #mapping #SanFrancisco #BayArea #USA #California #fedscience #fedservice #oublicgood #sediment #stream #discharge #extremewinter #sealevelrise #SLR #hillslope #erosion #sedimentation #tidal #wetlands #coast #coastline #shoreline #GIS #spatial #spatialanalysis #spatiotemporal #watershed
#USGS | #USGSLandslideHazardsProgram -
Widespread Landslide Activity in an Extreme Wet Season and Implications for Regional Sediment Management, Eastern San Francisco Bay Area, California
--
https://doi.org/10.1029/2026EA005227 <-- shared paper
--
H/T @amy East, Ph.D., P.G. | Researcher integrating geoscience and climate-change preparedness
“[This paper (link above) is] a collaboration with [the H/T’s] colleagues from [the] USGS Landslide Hazards Program, who mapped over 8,900 landslides in the eastern San Francisco Bay Area during an extreme wet winter.
How much sediment does such an extreme winter produce, from landslides or in stream discharge? How does that compare with long-term sediment production and landscape denudation rates?
[They] f[o]nd that landslide sediment mobilization is comparable to long-term denudation rates, emphasizing the role of extreme events in long-term sediment production. However, one extreme wet year has a negligible effect toward counteracting ongoing problems of sediment deficit in San Francisco Bay: to keep pace with sea-level rise, extreme wet conditions would need to occur in 50 out of the next 75 years…”
--
"PLAIN LANGUAGE SUMMARY: Watersheds will likely produce more sediment in a warmer future with more extreme rain, primarily through landslides in steep terrain. This study examines how an extremely wet season affected sediment production and transport in the eastern San Francisco Bay area, California. By mapping and measuring 8,928 landslides, [they] found that rare, extreme rain conditions are likely responsible for the vast majority of long-term hillslope erosion rates in this region. However, due to long residence times for sediment on hillslopes and in stream channels, a maximum of 1%–2% of that newly mobilized landslide material could have potentially contributed to sediment carried by streams into the Bay that year. Even extremely wet years cannot provide enough sediment for Bay wetlands and shorelines to keep pace with rising sea levels. To meet the demand for sediment in the Bay, such extreme rain and sediment production would need to occur in most years, which is not realistic. To restore wetlands and protect shorelines, managers likely will need to supplement the coastal system with repurposed dredged material…”
#massmovement #soil #water #hydrology #hydrography #geology #soils #geomorphometry #hydrogeomorphology #geomorphology #landslide #masswasting #climatechange #extremeweather #precipitation #rainfall #weather #climate #mapping #engineeringgeology #mapping #SanFrancisco #BayArea #USA #California #fedscience #fedservice #oublicgood #sediment #stream #discharge #extremewinter #sealevelrise #SLR #hillslope #erosion #sedimentation #tidal #wetlands #coast #coastline #shoreline #GIS #spatial #spatialanalysis #spatiotemporal #watershed
#USGS | #USGSLandslideHazardsProgram -
Rivers are never still. 🌊 They carve, flood, and rebuild the land grain by grain, and from orbit, satellites watch it happen over years. What looks permanent on a map is really a slow-motion river of change. 🛰️
#RemoteSensing #Hydrology #Rivers #Geography #Satellites #EarthObservation
-
Rivers are never still. 🌊 They carve, flood, and rebuild the land grain by grain, and from orbit, satellites watch it happen over years. What looks permanent on a map is really a slow-motion river of change. 🛰️
#RemoteSensing #Hydrology #Rivers #Geography #Satellites #EarthObservation
-
Rivers are never still. 🌊 They carve, flood, and rebuild the land grain by grain, and from orbit, satellites watch it happen over years. What looks permanent on a map is really a slow-motion river of change. 🛰️
#RemoteSensing #Hydrology #Rivers #Geography #Satellites #EarthObservation
-
Rivers are never still. 🌊 They carve, flood, and rebuild the land grain by grain, and from orbit, satellites watch it happen over years. What looks permanent on a map is really a slow-motion river of change. 🛰️
#RemoteSensing #Hydrology #Rivers #Geography #Satellites #EarthObservation
-
Rivers are never still. 🌊 They carve, flood, and rebuild the land grain by grain, and from orbit, satellites watch it happen over years. What looks permanent on a map is really a slow-motion river of change. 🛰️
#RemoteSensing #Hydrology #Rivers #Geography #Satellites #EarthObservation
-
North Dakota's surface water, fire, and vegetation are coupled — change one and the others answer. I built an Earth Engine explorer over 2000–2024 to watch it happen.
#EarthEngine #RemoteSensing #Fire #Hydrology -
North Dakota's surface water, fire, and vegetation are coupled — change one and the others answer. I built an Earth Engine explorer over 2000–2024 to watch it happen.
#EarthEngine #RemoteSensing #Fire #Hydrology -
North Dakota's surface water, fire, and vegetation are coupled — change one and the others answer. I built an Earth Engine explorer over 2000–2024 to watch it happen.
#EarthEngine #RemoteSensing #Fire #Hydrology -
North Dakota's surface water, fire, and vegetation are coupled — change one and the others answer. I built an Earth Engine explorer over 2000–2024 to watch it happen.
#EarthEngine #RemoteSensing #Fire #Hydrology -
Cascading continental-scale floods across Europe in 1342–1343
Bertola, M. et al. Megafloods in Europe can be anticipated from observations in hydrologically similar catchments. Nat. Geosci.…
#Europe #EU #HumanitiesandSocialSciences #Hydrology #multidisciplinary #naturalhazards #science
https://www.europesays.com/europe/114984/ -
Socio-Hydrology Modeling Captures How Inequalities Impact Community Flood Resilience
--
https://doi.org/10.1029/2025WR041393 <-- shared paper
--
https://www.americanprogress.org/article/how-fema-can-build-rural-resilience-through-disaster-preparedness/ <-- shared technical/opinion article
--
https://www.carbonbrief.org/us-flooding-increase-will-disproportionately-impact-black-and-low-income-groups <-- shared technical/opinion article
--
https://headwaterseconomics.org/natural-hazards/unequal-impacts-of-flooding/ <-- shared technical/opinion article
--
https://youtu.be/8jVRsD8wgMM?si=qBHchWZWkYRGbTdE <-- shared opinion video
--
https://fedcommunities.org/lower-income-neighborhoods-face-greater-flood-risk-tougher-recovery/ <-- shared technical/opinion article
--
H/T @matthew Preisser | PhD Civil Engineering, Natural Hazard Modeler and Socio-Hydrologists
“How can we better understand the dynamic feedbacks between the environment and society?
Socio-hydrology models are often built around the assumption that cities act as homogeneous entities, without capturing the variable capacity of communities with different underlying socioeconomic characteristics to respond to and recover from disasters.
In this study, [the authors] developed a disaggregated approach to model community-specific adaptive capacity, allowing [them] to examine how inequalities influence flood recovery and resilience. This framework provide[d] a basis for exploring hypotheses about the relationships between growth, inequality, and community resilience in the face of flood hazards.
[Their] results highlighted] the importance of considering community-level dynamics when developing flood mitigation and disaster response strategies that balance economic growth with equity. Many challenges remain in applying socio-hydrology models to real-world settings, but this work takes a step toward incorporating more realistic representations of socioeconomic inequality into human–water systems while preserving the generality and flexibility that make conceptual models useful…”
#risk #hazard #water #hydrology #flood #society #flooding #USA #SocioHydrology #naturalhazard #socioeconomic #population #demographics #infrastructure #damage #disaster #disaggregated #model #modeling #community #adaptiveresponse #growth #inequality #communityresilience #floodhazard #floodmitigation #disasterresponse #equity #city #town #rural #urban #economy #cost -
Socio-Hydrology Modeling Captures How Inequalities Impact Community Flood Resilience
--
https://doi.org/10.1029/2025WR041393 <-- shared paper
--
https://www.americanprogress.org/article/how-fema-can-build-rural-resilience-through-disaster-preparedness/ <-- shared technical/opinion article
--
https://www.carbonbrief.org/us-flooding-increase-will-disproportionately-impact-black-and-low-income-groups <-- shared technical/opinion article
--
https://headwaterseconomics.org/natural-hazards/unequal-impacts-of-flooding/ <-- shared technical/opinion article
--
https://youtu.be/8jVRsD8wgMM?si=qBHchWZWkYRGbTdE <-- shared opinion video
--
https://fedcommunities.org/lower-income-neighborhoods-face-greater-flood-risk-tougher-recovery/ <-- shared technical/opinion article
--
H/T @matthew Preisser | PhD Civil Engineering, Natural Hazard Modeler and Socio-Hydrologists
“How can we better understand the dynamic feedbacks between the environment and society?
Socio-hydrology models are often built around the assumption that cities act as homogeneous entities, without capturing the variable capacity of communities with different underlying socioeconomic characteristics to respond to and recover from disasters.
In this study, [the authors] developed a disaggregated approach to model community-specific adaptive capacity, allowing [them] to examine how inequalities influence flood recovery and resilience. This framework provide[d] a basis for exploring hypotheses about the relationships between growth, inequality, and community resilience in the face of flood hazards.
[Their] results highlighted] the importance of considering community-level dynamics when developing flood mitigation and disaster response strategies that balance economic growth with equity. Many challenges remain in applying socio-hydrology models to real-world settings, but this work takes a step toward incorporating more realistic representations of socioeconomic inequality into human–water systems while preserving the generality and flexibility that make conceptual models useful…”
#risk #hazard #water #hydrology #flood #society #flooding #USA #SocioHydrology #naturalhazard #socioeconomic #population #demographics #infrastructure #damage #disaster #disaggregated #model #modeling #community #adaptiveresponse #growth #inequality #communityresilience #floodhazard #floodmitigation #disasterresponse #equity #city #town #rural #urban #economy #cost -
Socio-Hydrology Modeling Captures How Inequalities Impact Community Flood Resilience
--
https://doi.org/10.1029/2025WR041393 <-- shared paper
--
https://www.americanprogress.org/article/how-fema-can-build-rural-resilience-through-disaster-preparedness/ <-- shared technical/opinion article
--
https://www.carbonbrief.org/us-flooding-increase-will-disproportionately-impact-black-and-low-income-groups <-- shared technical/opinion article
--
https://headwaterseconomics.org/natural-hazards/unequal-impacts-of-flooding/ <-- shared technical/opinion article
--
https://youtu.be/8jVRsD8wgMM?si=qBHchWZWkYRGbTdE <-- shared opinion video
--
https://fedcommunities.org/lower-income-neighborhoods-face-greater-flood-risk-tougher-recovery/ <-- shared technical/opinion article
--
H/T @matthew Preisser | PhD Civil Engineering, Natural Hazard Modeler and Socio-Hydrologists
“How can we better understand the dynamic feedbacks between the environment and society?
Socio-hydrology models are often built around the assumption that cities act as homogeneous entities, without capturing the variable capacity of communities with different underlying socioeconomic characteristics to respond to and recover from disasters.
In this study, [the authors] developed a disaggregated approach to model community-specific adaptive capacity, allowing [them] to examine how inequalities influence flood recovery and resilience. This framework provide[d] a basis for exploring hypotheses about the relationships between growth, inequality, and community resilience in the face of flood hazards.
[Their] results highlighted] the importance of considering community-level dynamics when developing flood mitigation and disaster response strategies that balance economic growth with equity. Many challenges remain in applying socio-hydrology models to real-world settings, but this work takes a step toward incorporating more realistic representations of socioeconomic inequality into human–water systems while preserving the generality and flexibility that make conceptual models useful…”
#risk #hazard #water #hydrology #flood #society #flooding #USA #SocioHydrology #naturalhazard #socioeconomic #population #demographics #infrastructure #damage #disaster #disaggregated #model #modeling #community #adaptiveresponse #growth #inequality #communityresilience #floodhazard #floodmitigation #disasterresponse #equity #city #town #rural #urban #economy #cost -
Socio-Hydrology Modeling Captures How Inequalities Impact Community Flood Resilience
--
https://doi.org/10.1029/2025WR041393 <-- shared paper
--
https://www.americanprogress.org/article/how-fema-can-build-rural-resilience-through-disaster-preparedness/ <-- shared technical/opinion article
--
https://www.carbonbrief.org/us-flooding-increase-will-disproportionately-impact-black-and-low-income-groups <-- shared technical/opinion article
--
https://headwaterseconomics.org/natural-hazards/unequal-impacts-of-flooding/ <-- shared technical/opinion article
--
https://youtu.be/8jVRsD8wgMM?si=qBHchWZWkYRGbTdE <-- shared opinion video
--
https://fedcommunities.org/lower-income-neighborhoods-face-greater-flood-risk-tougher-recovery/ <-- shared technical/opinion article
--
H/T @matthew Preisser | PhD Civil Engineering, Natural Hazard Modeler and Socio-Hydrologists
“How can we better understand the dynamic feedbacks between the environment and society?
Socio-hydrology models are often built around the assumption that cities act as homogeneous entities, without capturing the variable capacity of communities with different underlying socioeconomic characteristics to respond to and recover from disasters.
In this study, [the authors] developed a disaggregated approach to model community-specific adaptive capacity, allowing [them] to examine how inequalities influence flood recovery and resilience. This framework provide[d] a basis for exploring hypotheses about the relationships between growth, inequality, and community resilience in the face of flood hazards.
[Their] results highlighted] the importance of considering community-level dynamics when developing flood mitigation and disaster response strategies that balance economic growth with equity. Many challenges remain in applying socio-hydrology models to real-world settings, but this work takes a step toward incorporating more realistic representations of socioeconomic inequality into human–water systems while preserving the generality and flexibility that make conceptual models useful…”
#risk #hazard #water #hydrology #flood #society #flooding #USA #SocioHydrology #naturalhazard #socioeconomic #population #demographics #infrastructure #damage #disaster #disaggregated #model #modeling #community #adaptiveresponse #growth #inequality #communityresilience #floodhazard #floodmitigation #disasterresponse #equity #city #town #rural #urban #economy #cost -
Socio-Hydrology Modeling Captures How Inequalities Impact Community Flood Resilience
--
https://doi.org/10.1029/2025WR041393 <-- shared paper
--
https://www.americanprogress.org/article/how-fema-can-build-rural-resilience-through-disaster-preparedness/ <-- shared technical/opinion article
--
https://www.carbonbrief.org/us-flooding-increase-will-disproportionately-impact-black-and-low-income-groups <-- shared technical/opinion article
--
https://headwaterseconomics.org/natural-hazards/unequal-impacts-of-flooding/ <-- shared technical/opinion article
--
https://youtu.be/8jVRsD8wgMM?si=qBHchWZWkYRGbTdE <-- shared opinion video
--
https://fedcommunities.org/lower-income-neighborhoods-face-greater-flood-risk-tougher-recovery/ <-- shared technical/opinion article
--
H/T @matthew Preisser | PhD Civil Engineering, Natural Hazard Modeler and Socio-Hydrologists
“How can we better understand the dynamic feedbacks between the environment and society?
Socio-hydrology models are often built around the assumption that cities act as homogeneous entities, without capturing the variable capacity of communities with different underlying socioeconomic characteristics to respond to and recover from disasters.
In this study, [the authors] developed a disaggregated approach to model community-specific adaptive capacity, allowing [them] to examine how inequalities influence flood recovery and resilience. This framework provide[d] a basis for exploring hypotheses about the relationships between growth, inequality, and community resilience in the face of flood hazards.
[Their] results highlighted] the importance of considering community-level dynamics when developing flood mitigation and disaster response strategies that balance economic growth with equity. Many challenges remain in applying socio-hydrology models to real-world settings, but this work takes a step toward incorporating more realistic representations of socioeconomic inequality into human–water systems while preserving the generality and flexibility that make conceptual models useful…”
#risk #hazard #water #hydrology #flood #society #flooding #USA #SocioHydrology #naturalhazard #socioeconomic #population #demographics #infrastructure #damage #disaster #disaggregated #model #modeling #community #adaptiveresponse #growth #inequality #communityresilience #floodhazard #floodmitigation #disasterresponse #equity #city #town #rural #urban #economy #cost -
🎉We've just passed 50% of the crowdfunding goal for bringing native #hydrology tools in #qgis.
Thanks for all donations so far🙏🏼
If you rely on hydrological workflows in QGIS please consider supporting this effort.
👉 Full details & donation: www.qwast-gis.com/l/crowdfundi...
#gis #OSGeo #FOSS4G -
🎉We've just passed 50% of the crowdfunding goal for bringing native #hydrology tools in #qgis.
Thanks for all donations so far🙏🏼
If you rely on hydrological workflows in QGIS please consider supporting this effort.
👉 Full details & donation: www.qwast-gis.com/l/crowdfundi...
#gis #OSGeo #FOSS4G