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#spatiotemporal — Public Fediverse posts

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

  1. 💧🌏 Greg Cocks @[email protected] ·

    Annual High-Resolution Global Ambient Population Estimates From 1975 To 2024
    --
    doi.org/10.31223/X5MV3R <-- shared paper
    --
    landscan.ornl.gov/ <-- shared webmap and data link (via download -> LandScan Mosaic Time Series)
    --
    gee-community-catalog.org/proj <-- shared link to GEE community catalog collection ‘LandScan Mosaic Annual Global Ambient Population Time Series’
    --
    H/T @andrew Zimmer || Geographer | Research Scientist @ Oak Ridge National Laboratory
    “LSM-TS provides annual global estimates of ambient population from 1975–2024 at ~90 m resolution, creating a spatially and temporally consistent reconstruction of population change designed for longitudinal analysis. Reconstruction of historical populations are driven by current LandScan Mosaic building-level population distributions, scaled by built-surface change from #GHSL … and calibrated to annual national-level estimates from U.S. Census Bureau…”
    --
    “LandScan is a globally recognized, R&D100-winning population data platform developed at Oak Ridge National Laboratory (ORNL). Its datasets provide human population distribution estimates down to 100 meter grid resolution. LandScan supports disaster response, humanitarian aid, environmental analysis, and urban planning by providing insights into where people live and how they move…”
    --
    “Gridded population data support assessments of human exposure, settlement change, infrastructure demand, and access to services, yet global datasets combining annual coverage over multiple decades with fine spatial resolution remain limited. LandScan Mosaic Time Series provides 50 annual estimates of global ambient population distribution at 3 arc-second resolution from 1975 through 2024. The series is anchored to the 2024 LandScan Mosaic surface, produced through a building-level population modeling workflow. Historical surfaces are reconstructed using annualized changes in built surface and derived first-level administrative population trajectories. Every layer, including 2024, is normalized to administrative targets scaled to annual country totals from the U.S. Census Bureau International Database. The dataset is distributed as 50 single-band Cloud Optimized GeoTIFFs on an identical WGS84 grid, with values representing estimated persons per cell. Its common grid and methodology support fine-scale longitudinal analysis of ambient population distribution while documented validation and limitations guide appropriate reuse…”
    #demographics #change #spatiotemporal #1975 #2024 #population #change #grid #global #LandScan #POPGRID #LSMTS #ambientpopulation #GHSL #OakRidge #ORNL #usecase #opendata #disasterresponse #humanitarianaid #environmentalanalysis #urbanplanning #humanexposure #settlementchange #city #rural #infrastructure #demand #accesstoservices #GIS #spatial #mapping #building #outline #model #modeling
    @OAK Ridge National Laboratory | National Security Sciences at ORNL | @POPGRID Data Collaborative

    #ghsl #demographics #change #spatiotemporal #population #grid
  2. 💧🌏 Greg Cocks @[email protected] ·

    Annual High-Resolution Global Ambient Population Estimates From 1975 To 2024
    --
    doi.org/10.31223/X5MV3R <-- shared paper
    --
    landscan.ornl.gov/ <-- shared webmap and data link (via download -> LandScan Mosaic Time Series)
    --
    gee-community-catalog.org/proj <-- shared link to GEE community catalog collection ‘LandScan Mosaic Annual Global Ambient Population Time Series’
    --
    H/T @andrew Zimmer || Geographer | Research Scientist @ Oak Ridge National Laboratory
    “LSM-TS provides annual global estimates of ambient population from 1975–2024 at ~90 m resolution, creating a spatially and temporally consistent reconstruction of population change designed for longitudinal analysis. Reconstruction of historical populations are driven by current LandScan Mosaic building-level population distributions, scaled by built-surface change from #GHSL … and calibrated to annual national-level estimates from U.S. Census Bureau…”
    --
    “LandScan is a globally recognized, R&D100-winning population data platform developed at Oak Ridge National Laboratory (ORNL). Its datasets provide human population distribution estimates down to 100 meter grid resolution. LandScan supports disaster response, humanitarian aid, environmental analysis, and urban planning by providing insights into where people live and how they move…”
    --
    “Gridded population data support assessments of human exposure, settlement change, infrastructure demand, and access to services, yet global datasets combining annual coverage over multiple decades with fine spatial resolution remain limited. LandScan Mosaic Time Series provides 50 annual estimates of global ambient population distribution at 3 arc-second resolution from 1975 through 2024. The series is anchored to the 2024 LandScan Mosaic surface, produced through a building-level population modeling workflow. Historical surfaces are reconstructed using annualized changes in built surface and derived first-level administrative population trajectories. Every layer, including 2024, is normalized to administrative targets scaled to annual country totals from the U.S. Census Bureau International Database. The dataset is distributed as 50 single-band Cloud Optimized GeoTIFFs on an identical WGS84 grid, with values representing estimated persons per cell. Its common grid and methodology support fine-scale longitudinal analysis of ambient population distribution while documented validation and limitations guide appropriate reuse…”
    #demographics #change #spatiotemporal #1975 #2024 #population #change #grid #global #LandScan #POPGRID #LSMTS #ambientpopulation #GHSL #OakRidge #ORNL #usecase #opendata #disasterresponse #humanitarianaid #environmentalanalysis #urbanplanning #humanexposure #settlementchange #city #rural #infrastructure #demand #accesstoservices #GIS #spatial #mapping #building #outline #model #modeling
    @OAK Ridge National Laboratory | National Security Sciences at ORNL | @POPGRID Data Collaborative

    #ghsl #demographics #change #spatiotemporal #population #grid
  3. 💧🌏 Greg Cocks @[email protected] ·

    Annual High-Resolution Global Ambient Population Estimates From 1975 To 2024
    --
    doi.org/10.31223/X5MV3R <-- shared paper
    --
    landscan.ornl.gov/ <-- shared webmap and data link (via download -> LandScan Mosaic Time Series)
    --
    gee-community-catalog.org/proj <-- shared link to GEE community catalog collection ‘LandScan Mosaic Annual Global Ambient Population Time Series’
    --
    H/T @andrew Zimmer || Geographer | Research Scientist @ Oak Ridge National Laboratory
    “LSM-TS provides annual global estimates of ambient population from 1975–2024 at ~90 m resolution, creating a spatially and temporally consistent reconstruction of population change designed for longitudinal analysis. Reconstruction of historical populations are driven by current LandScan Mosaic building-level population distributions, scaled by built-surface change from #GHSL … and calibrated to annual national-level estimates from U.S. Census Bureau…”
    --
    “LandScan is a globally recognized, R&D100-winning population data platform developed at Oak Ridge National Laboratory (ORNL). Its datasets provide human population distribution estimates down to 100 meter grid resolution. LandScan supports disaster response, humanitarian aid, environmental analysis, and urban planning by providing insights into where people live and how they move…”
    --
    “Gridded population data support assessments of human exposure, settlement change, infrastructure demand, and access to services, yet global datasets combining annual coverage over multiple decades with fine spatial resolution remain limited. LandScan Mosaic Time Series provides 50 annual estimates of global ambient population distribution at 3 arc-second resolution from 1975 through 2024. The series is anchored to the 2024 LandScan Mosaic surface, produced through a building-level population modeling workflow. Historical surfaces are reconstructed using annualized changes in built surface and derived first-level administrative population trajectories. Every layer, including 2024, is normalized to administrative targets scaled to annual country totals from the U.S. Census Bureau International Database. The dataset is distributed as 50 single-band Cloud Optimized GeoTIFFs on an identical WGS84 grid, with values representing estimated persons per cell. Its common grid and methodology support fine-scale longitudinal analysis of ambient population distribution while documented validation and limitations guide appropriate reuse…”
    #demographics #change #spatiotemporal #1975 #2024 #population #change #grid #global #LandScan #POPGRID #LSMTS #ambientpopulation #GHSL #OakRidge #ORNL #usecase #opendata #disasterresponse #humanitarianaid #environmentalanalysis #urbanplanning #humanexposure #settlementchange #city #rural #infrastructure #demand #accesstoservices #GIS #spatial #mapping #building #outline #model #modeling
    @OAK Ridge National Laboratory | National Security Sciences at ORNL | @POPGRID Data Collaborative

    #ghsl #demographics #change #spatiotemporal #population #grid
  4. 💧🌏 Greg Cocks @[email protected] ·

    Annual High-Resolution Global Ambient Population Estimates From 1975 To 2024
    --
    doi.org/10.31223/X5MV3R <-- shared paper
    --
    landscan.ornl.gov/ <-- shared webmap and data link (via download -> LandScan Mosaic Time Series)
    --
    gee-community-catalog.org/proj <-- shared link to GEE community catalog collection ‘LandScan Mosaic Annual Global Ambient Population Time Series’
    --
    H/T @andrew Zimmer || Geographer | Research Scientist @ Oak Ridge National Laboratory
    “LSM-TS provides annual global estimates of ambient population from 1975–2024 at ~90 m resolution, creating a spatially and temporally consistent reconstruction of population change designed for longitudinal analysis. Reconstruction of historical populations are driven by current LandScan Mosaic building-level population distributions, scaled by built-surface change from #GHSL … and calibrated to annual national-level estimates from U.S. Census Bureau…”
    --
    “LandScan is a globally recognized, R&D100-winning population data platform developed at Oak Ridge National Laboratory (ORNL). Its datasets provide human population distribution estimates down to 100 meter grid resolution. LandScan supports disaster response, humanitarian aid, environmental analysis, and urban planning by providing insights into where people live and how they move…”
    --
    “Gridded population data support assessments of human exposure, settlement change, infrastructure demand, and access to services, yet global datasets combining annual coverage over multiple decades with fine spatial resolution remain limited. LandScan Mosaic Time Series provides 50 annual estimates of global ambient population distribution at 3 arc-second resolution from 1975 through 2024. The series is anchored to the 2024 LandScan Mosaic surface, produced through a building-level population modeling workflow. Historical surfaces are reconstructed using annualized changes in built surface and derived first-level administrative population trajectories. Every layer, including 2024, is normalized to administrative targets scaled to annual country totals from the U.S. Census Bureau International Database. The dataset is distributed as 50 single-band Cloud Optimized GeoTIFFs on an identical WGS84 grid, with values representing estimated persons per cell. Its common grid and methodology support fine-scale longitudinal analysis of ambient population distribution while documented validation and limitations guide appropriate reuse…”
    #demographics #change #spatiotemporal #1975 #2024 #population #change #grid #global #LandScan #POPGRID #LSMTS #ambientpopulation #GHSL #OakRidge #ORNL #usecase #opendata #disasterresponse #humanitarianaid #environmentalanalysis #urbanplanning #humanexposure #settlementchange #city #rural #infrastructure #demand #accesstoservices #GIS #spatial #mapping #building #outline #model #modeling
    @OAK Ridge National Laboratory | National Security Sciences at ORNL | @POPGRID Data Collaborative

    #modeling #model #outline #building #mapping #spatial
  5. 💧🌏 Greg Cocks @GregCocks ·

    Annual High-Resolution Global Ambient Population Estimates From 1975 To 2024
    --
    doi.org/10.31223/X5MV3R <-- shared paper
    --
    landscan.ornl.gov/ <-- shared webmap and data link (via download -> LandScan Mosaic Time Series)
    --
    gee-community-catalog.org/proj <-- shared link to GEE community catalog collection ‘LandScan Mosaic Annual Global Ambient Population Time Series’
    --
    H/T @andrew Zimmer || Geographer | Research Scientist @ Oak Ridge National Laboratory
    “LSM-TS provides annual global estimates of ambient population from 1975–2024 at ~90 m resolution, creating a spatially and temporally consistent reconstruction of population change designed for longitudinal analysis. Reconstruction of historical populations are driven by current LandScan Mosaic building-level population distributions, scaled by built-surface change from … and calibrated to annual national-level estimates from U.S. Census Bureau…”
    --
    “LandScan is a globally recognized, R&D100-winning population data platform developed at Oak Ridge National Laboratory (ORNL). Its datasets provide human population distribution estimates down to 100 meter grid resolution. LandScan supports disaster response, humanitarian aid, environmental analysis, and urban planning by providing insights into where people live and how they move…”
    --
    “Gridded population data support assessments of human exposure, settlement change, infrastructure demand, and access to services, yet global datasets combining annual coverage over multiple decades with fine spatial resolution remain limited. LandScan Mosaic Time Series provides 50 annual estimates of global ambient population distribution at 3 arc-second resolution from 1975 through 2024. The series is anchored to the 2024 LandScan Mosaic surface, produced through a building-level population modeling workflow. Historical surfaces are reconstructed using annualized changes in built surface and derived first-level administrative population trajectories. Every layer, including 2024, is normalized to administrative targets scaled to annual country totals from the U.S. Census Bureau International Database. The dataset is distributed as 50 single-band Cloud Optimized GeoTIFFs on an identical WGS84 grid, with values representing estimated persons per cell. Its common grid and methodology support fine-scale longitudinal analysis of ambient population distribution while documented validation and limitations guide appropriate reuse…”
    #1975 #2024
    @OAK Ridge National Laboratory | National Security Sciences at ORNL | @POPGRID Data Collaborative

    #ghsl #demographics #change #spatiotemporal #population #grid
  6. 💧🌏 Greg Cocks @[email protected] ·

    WeatherNext – [An] AI Model Achieves Breakthrough In Forecasting Cyclones
    --
    deepmind.google/blog/weatherne <-- shared technical Google DeepMind blog post
    --
    doi.org/10.1038/s41586-026-109 <-- shared paper
    --
    deepmind.google/science/weathe <-- shared data
    --
    github.com/google-deepmind/wea <-- shared GitHub repository
    --
    H/T @juliet Rothenberg | Product Director of Earth & Resilience AI at Google
    [this post should not be considered an endorsement of a particular organisation or their approach]
    “[The Google WeatherNext AI team] are showing how the WeatherNext AI model from Google DeepMind and Google Research has achieved state-of-the-art accuracy in predicting a cyclone's track, intensity, and wind structure. On average, the WeatherNext Cyclones model gives forecasters an extra day’s worth of predictive accuracy- delivering an advance equivalent to roughly a decade of historical meteorological progress 🌀
    Here is how WeatherNext is transforming cyclone forecasting:
    • Gaining an Extra Day of Advanced Warning: WN 3-day forecasts are as good as what prior models were able to provide for 2-day forecasts, giving critical time for emergency response.
    • Overcoming Traditional Trade-offs: WN bridges the gap between massive global atmospheric currents (which steer a cyclone's path) and fine-grained thermodynamic processes around its core (which drive its intensity) into a single AI model.
    • Unprecedented Ensemble Scale: Using Functional Generative Networks (FGNs), WN now generates 1,000-member ensembles in less than a minute on a TPU to capture rare, consequential tail-risks like sudden rapid intensification – which means forecasters can see a broader range of possible scenarios.
    • Real-World Impact: During the 2025 Atlantic hurricane season, the WN model helped the National Hurricane Center (NHC) make a historic forecast for Hurricane Melissa by predicting rapid intensification and landfall five days in advance.
    [The] teams are open sourcing the operationalized models (WeatherNext Cyclones and WeatherNext 2), alongside a compact version (WeatherNext 2-mini) that can run on a single TPU in a free public Colab notebook – all with a goal of empowering local organizations worldwide.
    Weather affects everyone. By combining advanced AI with the real-world expertise of human forecasters, we can build a collaborative ecosystem that saves lives and helps communities adapt to a changing climate…”
    #Google #DeepMind #GoogleResearch #AI #ensembles #FunctionalGenerativeNetworks #WeatherNext #cyclone #operationalised #model #modeling #forecasting #spatialanalyis #spatiotemporal #track #intensity #windstructure #hurricane #weather #climate #metrology #cyclonetrack #risk #hazard #emergencyresponse #planning #tool #earlywarning #scale #magnitude #path #track #thermodynamic #scenarios #opensource #impacts #tropicalcyclones #WeatherNextCyclones #weathermodel #atmospheric #predictions #mitigation #warning #robust #publicsafety #infrastructure
    @Google | @WeatherNext

    #google #deepmind #googleresearch #ai #ensembles #functionalgenerativenetworks
  7. 💧🌏 Greg Cocks @[email protected] ·

    Spatiotemporal Distribution, Climatic Factors, And Seasonal Precipitation Patterns Characterizing 66 Years Of Widespread Shallow Landslide Events In Piedmont (Northwestern Italy)
    --
    doi.org/10.3389/feart.2026.188 <-- 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

    #massmovement #landslide #engineeringgeology #italy #piedmont #northernitaly
  8. 💧🌏 Greg Cocks @[email protected] ·

    Widespread Landslide Activity in an Extreme Wet Season and Implications for Regional Sediment Management, Eastern San Francisco Bay Area, California
    --
    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

    #massmovement #soil #water #hydrology #hydrography #geology
  9. 💧🌏 Greg Cocks @[email protected] ·

    Classification And Conceptualization Of Karst Recharge Processes Through Spectral And Change Point Analysis Of Drip Water Dynamics
    --
    doi.org/10.1029/2025WR042816 <-- shared paper
    --
    H/T @ Danyang Sun | UNSW-PhD student
    “… [The authors] analysed one year of drip water monitoring data from 46 monitoring sites across six karst regions in southeastern Australia. By integrating fast Fourier analysis, cross-wavelet transform and change point analysis, [they] identified five characteristic recharge behaviours and developed a conceptual framework linking temporal drip dynamics with recharge mechanisms. [They] hope this framework will contribute to a better understanding of recharge heterogeneity in karst systems and support future groundwater research under a changing climate…”
    #karst #Australia #water #hydrology #underground #subsurface #recharge #dynamics #spectral #changepoint #cave #dripwater #analysis #spatiotemporal #groundwater #research #climatechange #extremeweather #flow #storage #vadose #epikarst #watertable #aquifer #percolation #rainfall #precipitation #climate #lithology #geology #spatialanalysis

    #karst #australia #water #hydrology #underground #subsurface
  10. 💧🌏 Greg Cocks @[email protected] ·

    How Space Weather Could Bust The AI Boom
    --
    spacenews.com/how-space-weathe <-- shared technical article
    --
    futurism.com/artificial-intell <-- shared technical article, “AI Data Centers Pushing Electric Grid Into Meltdown”
    --
    doi.org/10.1146/annurev-earth- <-- shared 2026 paper, “Magnetic Storms and Geoelectric Hazards”
    --
    #AI #datcenters #infrastructure #impacts #solarstorms #spaceweather #risk #hazards #overloading #electricity #energy #powersupply #energygrid #vulnerable #transmission #energy #demand #consumers #geoelectrical #geomagnetism #blackout #damage #cost #economics #equipment #transformers #carringtonevent #NERC #grid #reliability #electricaldemand #utilities #magneticstorm #electromagneticinduction #extremeevent #historicalevent #hazardanalysis #spaceweather #history #Carrington #geoelectric #humanimpacts #risk #hazard #monitoring #network #geology #geomagnetism #impedance #rock #soil #utilities #electricaltransmission #powerlines #magnetotelluric #sensor #blackout #brownout #energy #geoelectrichazard #geoelectric #GIS #spatial #mapping #spatialanalysis #spatiotemporal #model #modeling #geomagnetism #geomagneticstorm #telecommunication #electronics #hardened #geography #mitigation #preparedness #geomorphology #geomorphometry #surfacegeology #cost #economics #disaster #impacts #technology #InternetOfThings #internet #USA #review #CONUS #numericalmodeling #realtimemonitoring #AIBoom #Bust
    @North American Electric Reliability Corporation (NERC)

    #ai #datcenters #infrastructure #impacts #solarstorms #spaceweather
  11. 💧🌏 Greg Cocks @[email protected] ·

    Late Miocene Euphrates River Drained Into A Partially Desiccated Eastern Mediterranean
    --
    doi.org/10.1038/s41561-026-019 <-- shared paper
    --
    [the paleogeographic reconstruction is outstanding, including the strength and information conveyed so well in that figure, kudos!]
    H/T @lina Jakaitė-Darkšė
    “Although the Euphrates River - stretching ~3,000 km across Western Asia - has shaped the region’s geology for millions of years, the timing of its origin and the evolution of its course remain enigmatic. So far, two contrasting hypotheses have been proposed to explain the fluvial system’s Late Neogene path: termination in Anatolia at a palaeo-lake or the Mediterranean, or a southeastward continuation to Arabia. Here [they] use seismic-reflection and topographic data to show that two previously identified sedimentary accumulations - deposited during the terminal phase of the Late Miocene Messinian salinity crisis - resulted from dual riverine systems that drained into a partially desiccated eastern Mediterranean before avulsing toward the Persian Gulf and converging to form the modern Euphrates River. From probabilistic sediment-budget modelling, [they] show that although the latest Messinian drainage basins were an order of magnitude smaller than their present-day extents, the total palaeo-discharge exceeded that of the modern Tigris, Euphrates and Nile rivers combined, indicating intense palaeo-precipitation and high palaeo-relief. These results suggest that plate-margin deformation both controlled the fluvial avulsions that diverted the Euphrates River from the Anatolian–Eurasian Plate to the Arabian Plate, and established the conditions necessary for the development of the alluvial Fertile Crescent…”
    #water #hydrology #hydrography #paleogeography #Euphrates #river #Miocene #reconstruction #spatialreconstruction #geology #change #erosion #MiddleEast #spatialanalysis #spatiotemporal #Neogene #Anatolia #paleolake #Mediterranean #Arabia #Messinian #remotesensing #model #modeling #topography #hydrogeomorphology #geomorphology #PersianGulf #sediment #paleodischarge #volume #Tigris #elevation #platetectonics #structuralgeology #platemargin #fluvial #avulsion #FertileCrescent

    #water #hydrology #hydrography #paleogeography #euphrates #river
  12. 💧🌏 Greg Cocks @[email protected] ·

    Study Highlights Growing Importance Of Multi-Day Storms In Future U.S. Flood Risk
    --
    news.okstate.edu/articles/engi <-- shared technical article
    --
    doi.org/10.1088/2752-5295/ae4f <-- shared paper
    --
    “Extreme rainfall is projected to intensify as the climate warms, yet whether the greatest increases will occur in multi-day or single-day events remains uncertain. This knowledge gap is particularly pressing given recent catastrophic floods triggered by multi-day rainfall events, prompting the question of whether multi-day events could, in fact, intensify more than their daily counterparts, and by how much. This study addresses this question using an ensemble of 34 downscaled Earth System Models under two Shared Socioeconomic Pathways (SSP2-4.5 and SSP5-8.5), focusing on changes in extreme rainfall by the end of the century across ten regions of the contiguous United States. [Their] statistical framework evaluates model agreement, ensemble-mean changes, and the significance of these changes for both daily and multi-day rainfall extremes. Results show that extreme rainfall amounts are expected to increase for most regions and durations. The degree of intensification, however, depends strongly on event rarity and regional climate characteristics. Notably, in the U.S. western Gulf Coast region, very rare multi-day events (e.g., 500 year return period) are projected to intensify more than their daily counterparts, a phenomenon that could be explained by increased stalling of tropical cyclones, which can prolong heavy rainfall over multiple days. These results challenge the assumption that daily extremes dominate future risk and highlight the need to consider event duration when updating flood-hazard maps, design standards, and adaptation planning…”
    #Flooding #FloodRisk #FloodInsurance #FloodAwareness #Explore #FloodPreparedness #FlashFlooding #ClimateResilience #climatechange #extremeweather #DisasterPreparedness #StormwaterManagement #FloodSafety #CommunityResilience #risk #hazard #model #modeling #floodrisk #multiday #rainfall #precipitation #storm #water #hydrology #hydrography #planning #policy #regulations #climatemodel #CONUS #USA #publicsafety #cost #economics #damage #loss #infrastructure #spatiotemporal #spatialanalysis #earthsystemmodels #forecasting #meteorology #designstandards #floodmapping #mitigation #flood

    #flooding #floodrisk #floodinsurance #floodawareness #explore #floodpreparedness
  13. 💧🌏 Greg Cocks @[email protected] ·

    On The Use Of Rainfall Time Series For Regional Landslide Prediction By Means Of Functional Regression
    --
    doi.org/10.1016/j.enggeo.2026. <-- shared paper
    --
    #rainfallinduced #landslide #Functionalregression #Japan #Earlywarningsystem #Spacetimeprediction #spatialanalysis #spatiotemporal #massmovement #engineeringgeology #geomorphology #hydrogeomorphology #geomorphometry #remotesensing #geostatistics #model #modeling #mechanics #rainfall #threshold #precipitation #water #hydrology #risk #hazard #hazardassessment #terrain #landscape #landform #landuse #geology #soil #lithology #functionalGeneralizedAdditiveModel #FGAM #prediction #casestudy #AI #LLM

    #rainfallinduced #landslide #functionalregression #japan #earlywarningsystem #spacetimeprediction
  14. 💧🌏 Greg Cocks @[email protected] ·

    Magnetic Storms And Geoelectric Hazards
    --
    doi.org/10.1146/annurev-earth- <-- shared paper / annual review
    --
    #magneticstorm #electromagneticinduction #extremeevent #historicalevent #hazardanalysis #spaceweather #history #Carrington #geoelectric #humanimpacts #risk #hazard #monitoring #network #geology #geomagnetism #impedance #rock #soil #utilities #electricaltransmission #powerlines #magnetotelluric #sensor #magnetometer #blackout #brownout #energy #geoelectrichazard #geoelectric #geostatics #GIS #spatial #mapping #spatialanalysis #spatiotemporal #model #modeling #geomagnetism #geomagneticstorm #telecommunication #electronics #hardened #geography #mitigation #preparedness #geomorphology #geomorphometry #surfacegeology #cost #economics #disaster #impacts #technology #InternetOfThings #internet #USA #review #CONUS #numericalmodeling #realtimemonitoring

    #magneticstorm #electromagneticinduction #extremeevent #historicalevent #hazardanalysis #spaceweather
  15. 💧🌏 Greg Cocks @[email protected] ·

    Non-Linear Morphodynamic Response Of Deltas To Extreme Events
    --
    doi.org/10.1029/2025GL120954 <-- shared paper
    --
    #extremeweather #GIS #spatial #mapping #water #hydrography #climatechange #coast #coastal #delta #river #rivers #riverdelta #estuary #estuarine #adapation #flood #flooding #planning #population #demographics #global #morphodynamics #pyDeltaRCM #numericalmodeling #model #modeling #deltamorphology #channel #flow #flowchannel #sedimentation #geomorphology #geomorphometry #spatialanalysis #spatiotemporal #ecology #ecosystems #habitat #floodfrequency #morphometrics

    #extremeweather #gis #spatial #mapping #water #hydrography
  16. 💧🌏 Greg Cocks @[email protected] ·

    Multidecadal Reconstruction Of Terrestrial Water Storage Changes By Combining Pre-GRACE Satellite Observations And Climate Data
    --
    doi.org/10.5194/essd-18-1747-2 <-- shared paper
    --
    doi.org/10.5281/zenodo.15827789 <-- reconstructed fields and corresponding uncertainty datasets
    --
    doi.org/10.5281/zenodo.16643628 <-- corresponding time series datasets
    --
    #GIS #spatial #mapping #remotesensing #earthobservation #GRACE #GRACEFO #water #hydrology #hydrography #waterresources #waterstorage #planning #monitoring #spatialanalysis #spatiotemporal #climatemodel #climatechange #extremeweather #regression #AI #machinelearning #rainfall #precipitation #remperatures #parameters #gravity #geodetic #satellite #orbitography #geomorphometry #DORIS #global #reconstruction #limitations #usecase

    #gis #spatial #mapping #remotesensing #earthobservation #grace
  17. 💧🌏 Greg Cocks @[email protected] ·

    Water Velocity And Discharge From Tidal Freshwater Creeks In Forested And Herbaceous Wetlands
    --
    doi.org/10.1007/s12237-026-016 <-- shared paper
    --
    #water #hydrology #tide #tidal #ecosystem #wildlife #fish #fisheries #nursery #nutrients #trophicenergy #discharge #ColumbiaRiver #Oregon #Washington #USA #fluvial #tidalfreshwater #TFW #habitat #restoration #flowregime # herbaceous #forested #wetland #marsh #aquatic #sediment #sedimentation #estuary #inundation #monitoring #measurement #velocity #discharge #volume #spatialanalysis #spatiotemporal #river #riverine #hydraulic #pluvial #precipitation #upstream #subtidal #wavelet #tidalcreek #AcousticDopplerCurrentProfiler #instrumentation #elevation #spatial #mapping

    #water #hydrology #tide #tidal #ecosystem #wildlife
  18. 💧🌏 Greg Cocks @[email protected] ·

    Half Of European Municipalities Have Fewer Inhabitants Than 60 Years Ago
    --
    correctiv.org/aktuelles/2026/0 <-- shared technical / spatiotemporal article
    --
    data.jrc.ec.europa.eu/dataset/ <-- shared European Joint Research Centre (JRC) ARDECO Local Population Time-Series – 1961-2024
    --
    #GIS #spatial #mapping #emptyspain #demographics #population #agingpopulation #declining #birthrate #immigration #emigration #shrinking #interactive #webmap #spatialanalysis #spatiotemporal #Europe #geostatistics #logistics #rural #urban #city #transportation #cost #economics #services #infrastructure #workers #qualityoflife #planning
    @JointResearchCentre #JRC @europeancommission @correctiv_org

    #gis #spatial #mapping #emptyspain #demographics #population
  19. 💧🌏 Greg Cocks @[email protected] ·

    Pan-European Assessment Of Coastal Flood Hazards
    --
    doi.org/10.5194/nhess-26-1859- <-- shared paper
    --
    #coast #coastal #flood #flooding #model #modeling #Europe #UK #naturalhazard #extremeweather #bathtub #dynamic #stormsurge #remotesensing #GIS #spatial #mapping #spatialanalysis #spatiotemporal #risk #hazard #assessment #water #hydrology #marine #hydrography #hydrograph #meansealevel #MSL #tides #waves #tidal #parameters #DEM #dynamicmodels #floodplain #literaturereview

    #coast #coastal #flood #flooding #model #modeling
  20. 💧🌏 Greg Cocks @[email protected] ·

    National-Scale Field Delineation In Mozambique Refines Our Understanding Of Cropland Distribution, Field Size, And Deforestation Actors.
    --
    doi.org/10.1088/1748-9326/ae5c <-- shared paper
    --
    philipperufin.github.io/blog/m <-- shared associated technical article from one of the paper’s authors
    --
    #foodsecurity #subsistence #smallholder #farms #farming #agriculture #crops #Mozambique #subSaharan #Africa #GIS #spatial #mapping #remotesensing #earthobservation #policy #planning #cropland #spatialanalysis #spatiotemporal #field #deforestation #countrywide #landuse #sustainability #delineation #satellite #SPOT #model #modeling #deeplearning #AI #machinelearning #survey #GeoAI #spatialdata

    #foodsecurity #subsistence #smallholder #farms #farming #agriculture
  21. 💧🌏 Greg Cocks @[email protected] ·

    Hanging Glaciers In Himalaya Reveal Rising Avalanche Risk
    --
    nature.com/articles/d44151-026 <-- shared technical article
    --
    doi.org/10.1038/s44304-026-002 <-- shared paper
    --
    #GIS #spatial #mapping #risk #hazard #monitoring #engineeringgeology #naturalhazard #Himalaya #Himalayas #Alaknanda #basin #Garhwal #India #ice #cryosphere #massmovement #avalanche #glacier #hangingglacier #cryosphere #remotesensing #spatialanalysis #spatiotemporal #sentinel2 #DEM #elevation #model #modeling #GlabTop2 #unstable #hanging #BadrinathMana #impact #infrastructure #damage #HEP #urbanisation #development #population #publicsafety #demographics #glacialretreat #melting #Chamoli #disaster #earlywarningsystems #Himalayan #glaciers #instability #warming #climatechange #riskassessment #riskclassification #framework #avaflow #runout #downstream #downslope #water #hydrology #planning #policy #mitigation #geomorphology #geomorphometry

    #gis #spatial #mapping #risk #hazard #monitoring
  22. 💧🌏 Greg Cocks @[email protected] ·

    Detecting Land Use And Land Cover Changes And Quantifying Soil Erosion And Sediment Export Using GIS And Remote Sensing In The GERD Catchment, Ethiopia
    --
    doi.org/10.1016/j.iswcr.2026.1 <-- shared paper
    --
    infonile.org/en/2023/05/battli <-- shared technical media article
    --
    doi.org/10.1007/978-3-031-6524 <-- shared technical book chapter
    --
    doi.org/10.3390/rs8121020 <-- shared 2016 paper
    --
    #landuse #landcover #RUSLE #model #soil #erosion #sedimentation #GERD #catchment #NorthAfrica #Ethiopia #AbbayBasin #sustainability #landmanagement #agriculture #farmland #foodsecurity #water #hydrogology #reservior #watermanagement #watersecurity #waterresources #catchment #GrandEthiopianRenaissanceDam #BlueNile #hydrography #impoundment #GIS #spatial #mapping #remotesensing #earthobservation #thematic #spatialanalysis #spatiotemporal #landsat #elevation #DEM #CHIRPS #rainfall #precipitation #LULC #AI #forest #grazing #grassland #field #crops #cropland #waterbodies #urban #biophysical #risk #hazard #mitigation #soilquality

    #landuse #landcover #rusle #model #soil #erosion
  23. 💧🌏 Greg Cocks @[email protected] ·

    Remote Sensing And Process Attribution Uncertainties In The Dharali Event [Himalayas, India]
    --
    doi.org/10.1038/s44304-026-002 <-- shared paper review
    --
    doi.org/10.1038/s44304-026-001 <-- shared paper that was reviewed
    --
    doi.org/10.1016/j.nhres.2025.1 <-- related shared paper
    --
    #Dharali #disaster #BhagirathiBasin #India #NorthernIndia #Himalayas #GIS #spatial #mapping #remotesensing #satellite #imagery #earthobservation #trigger #risk #hazard #damage #infrastructure #mountain #geomorphology #glacier #glacial #debrisflow #publicsafety #landuse #paraglacial #rainfall #precipitation #extremeweather #massmovement #landslide #spatialanalysis #spatiotemporal #Bhagirathi #River #water #hydrology #icepatchcollapse

    #dharali #disaster #bhagirathibasin #india #northernindia #himalayas
  24. 💧🌏 Greg Cocks @[email protected] ·

    Extreme Coastal Flood [and SLR] Maps For Aotearoa New Zealand
    --
    niwa.co.nz/hazards/coastal-haz <-- shared Earth Sciences New Zealand entry page
    --
    experience.arcgis.com/experien <-- NIWA sea level / coastal flooding web mapping tools
    --
    niwa.co.nz/hazards/riskscape-s <-- shared NZ RiskScape software entry page
    --niwa.co.nz/sites/default/files <-- shared 2023 #NIWA report, ‘Mapping New Zealand’s exposure to coastal flooding and sea-level rise’
    --
    niwa.co.nz/hazards/coastal-sto <-- shared NIWA Coastal storm inundation page
    --
    #GIS #spatial #mapping #NewZealand #spatialdata #opendata #water #hydrography #coast #coastal #flood #flooding #inundation #stormsurge #risk #hazard #forecasting #infrastructure #cost #damage #housing #climatechange #storm #extremeweather #tide #inundation #waves #sealevelrise #SLR #model #modeling #spatialanalysis #spatiotemporal #floodmap #remotesensing #LiDAR #SRTM #regional
    @earth Sciences New Zealand | National Institute of Water & Atmospheric Research (NIWA) | @Ministry for the Environment | Manatū mō te Taiao

    #niwa #gis #spatial #mapping #newzealand #spatialdata
  25. 💧🌏 Greg Cocks @[email protected] ·

    Neogene Uplift Of The Chiribiquete Tabletop Mountains In The Colombian Amazon And Its Paleobiogeographic Implications
    --
    doi.org/10.1016/j.palaeo.2026. <-- shared paper
    --
    H/T Richard F. Ott
    “The Chiribiquete are table top mountains located deep in the Colombian Amazon and host many rare endemic species. Helanlin Xiang's work shows that the Chiribiquete Mountains likely upifted before the Early Miocene and could have acted as a long-lived stepping stone, connecting species in the Andes with the Guyana Shield…”
    --
    #Miocene #Paleogeography #Palynology #Amazonia #Caquetá #paleobiogeography #Columbia #Amazon #jungle #geomorphology #neogene #uplift #geology #structuralgeology #tectonics #Chiribiquete #tabletopmountains #Andes #GuyanaShield #dating #isotopes #biome #ecosystem #tepui #elevation #sedimentology #stratigraphy #Araracuara #fluvial #lacustrine #deposition orogeny #regional #uplift #drainage #hydrography #hydrology #river #network #GIS #spatial #mapping #spatialanalysis #spatiotemporal #geophysics #seismology

    #miocene #paleogeography #palynology #amazonia #caqueta #paleobiogeography
  26. 💧🌏 Greg Cocks @[email protected] ·

    Drivers Of Forest Disturbance In Southeast Asia [incl. spatial analysis]
    --
    doi.org/10.1016/j.jag.2026.105 <-- shared paper 🔗
    --
    github.com/shijuanchen/SEA_for <-- shared GitHub ‘data repository 🔗
    --
    #GIS #spatial #mapping #spatialanalysis #spatiotemporal #forest #vegetation #Forestdisturbance #Forestdegradation #Deforestation #remotesensing #SoutheastAsia #Asia #tropicalforests #timeseriesanalysis #geostatistics #disturbance #clearing #planting #agriculture #earthobservation #imagery #CCDC #changedetection #landcover #landuse #change #plantation #cultivation #slashandburn #planning #mitigation #catalogue #conservation #management #landmanagement #machinelearning #imageanalysis #AI

    #gis #spatial #mapping #spatialanalysis #spatiotemporal #forest
  27. 💧🌏 Greg Cocks @[email protected] ·

    The Art Of Mapping The Edge
    How surveying challenging terrain will protect New Zealand’s coastal frontiers
    --
    hydro-international.com/conten <-- shared technical article 🔗
    --
    linz.govt.nz/products-services <-- NZ 3D Coastal Mapping Programme home page
    --
    #bathymetry #topobathy #NV5 #oceanmapping #LINZ #newzealand #geospatial #hydrography #hydrographicsurveys #oceanography #arcgisbathymetry #arcgismaritime #3D #coast #coastal #coastline #naturalresources #ToitūTeWhenua #LandInformationNew Zealand #risk #hazard #infrastructure #resilience #planning #spatialanalysis #spatiotemporal #GIS #spatial #mapping #survey #publicgood #3DCoastalMappingProgramme #remotesensing #earthobservation #terrain #marine #elevation #depth #model #modeling
    @LandInformationNewZealand

    #bathymetry #topobathy #nv5 #oceanmapping #linz #newzealand
  28. 💧🌏 Greg Cocks @[email protected] ·

    Detection And Spatial Modelling Of Trends In UK Rainfall Frequency
    --
    doi.org/10.1080/02626667.2026. <-- shared paper
    --
    #GIS #spatial #mapping #extremeweather #rainfall #pluvial #frequency #trends #nonstationarity #extremevalue #model #modeling #monitoring #UnitedKingdom #UK #Britian #England #Scotland #Wales #precipitation #spatialanalysis #spatiotemporal #drainage #monitoring #planning #resilience #naturalhazards #flooding #flood #water #hydrology # #sewerage #sewage #wastewater #waterways #pollution #spills #releases #stormwater #erosion #massmovement #landslides #engineeringgeology #risk #hazard #climatic #covariates #raingauges #maximums #duration #winter #NorthernEngland #NorthAtlanticOscillation #NAO #index #metrics #annualmaximum #AMAX #seasonalmaximum #SMAX #peaksoverthreshold #POT #statistics #geostatistics #MetOffice #weather #climate

    #gis #spatial #mapping #extremeweather #rainfall #pluvial
  29. 💧🌏 Greg Cocks @[email protected] ·

    Where To Restore And Conserve? A Regional Benefit/Cost Analysis Of Coral Reef Protection And Restoration For Coastal Flood Resilience
    --
    doi.org/10.1016/j.jenvman.2025 <-- shared paper
    --
    #USVirginIslands #USVI #coast #coastal #flood #mitigation #flooding #risk #hazard #humanimpacts #cost #benefit #costbenefit #benefitcost #analysis #BCA #coral #reef #conservation #restoration #management #economics #protection #riskreduction #spatialanalysis #spatiotemporal #GIS #spatial #mapping #climatehazard #climaterisk #hydrodynamic #model #modeling #casestudy #extremeweather #storm #stormsurge #infrastructure #SaintCroix #SaintJohn #SaintThomas #valuation #validation #protection #riskmanagement #quantification

    #usvirginislands #usvi #coast #coastal #flood #mitigation
  30. 💧🌏 Greg Cocks @[email protected] ·

    Improving Forest Loss Mapping In Nepal Using Landtrendr Time-Series And Machine Learning
    --
    doi.org/10.1016/j.rsase.2025.1 <-- 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

    #forestdisturbance #forest #disturbance #remotesensing #landtrendr #workflow
  31. 💧🌏 Greg Cocks @[email protected] ·

    Map Reveals How America's Forests Have Changed Over Time
    --
    newsweek.com/america-forests-c <-- shared 2025 media article
    --
    doi.org/10.5194/essd-15-1005-2 <-- shared 2023 paper
    --
    doi.org/10.5281/zenodo.7055086 <-- shared study datasets
    --
    #GIS #spatial #mapping #remotesensing #spatialanalysis #spatiotemporal #copernicus #CONUS #USA #forest #model #modeling #landuse #landcover #change #forestland #agriculture #urban #development #cities #industry #vegetation #America #humanimpacts #settlement #decline #cropland #pasture #grassland #grazing #reforestation #deforestation #urbanization #conservation #ecosystems #logging #mining #railroad #infrastructure #forestcover #NLDI #farmland #colonial #LULC #census #climate #hydrology #biogeochemical

    #gis #spatial #mapping #remotesensing #spatialanalysis #spatiotemporal
  32. 💧🌏 Greg Cocks @[email protected] ·

    Satellite Captures The First Detailed Look At A Massive Tsunami
    --
    earth.com/news/satellite-captu <-- shared technical article
    --
    doi.org/10.1785/0320250037 <-- shared paper
    --
    #GIS #spatial #mapping #satellite #remotesensing #earthobservation #geology #tectonics #Kuril #Kamchatka #Russia #Pacific #tsunami #NASA #SWOT #energy #dissipation #risk #hazard #model #modeling #DART #buoy #observation #instrumentation #waveforms #propogation #geodetic #spatialanalysis #spatiotemporal #marine #wave #megathrust #rupture #mechanics #altimetry #forecasting #hydrodynamic

    #gis #spatial #mapping #satellite #remotesensing #earthobservation
  33. 💧🌏 Greg Cocks @[email protected] ·

    Sentinel-2 Based Estimates Of Rangeland Fractional Cover And Canopy Gap Class For The Western United States
    --
    doi.org/10.1038/s41597-025-061 <-- shared paper
    --
    rangelands.app/products/rap10m/ <-- shared 10 metre Range Analysis platform overview
    --
    [aside & totally anecdotal - I have ridden on the road in that last picture - near Sheridan, WY]
    --
    #GIS #spatial #mapping #fedscience #fedservice #feddata #opendata #usecase #publicgood #rangeland #ecosystems #monitoring #spatialanalysis #spatiotemporal #US #USA #vegetation #satellite #remotesensing #earthobservation #Sentenial #Sentenial2 #canopy #fractionalcover #canopygap #landcover #landuse #grass #pinyon #juniper #opendata #raster #USWest #WesternStates #landsurface #tools #fielddata #model #modeling #BLM #USDA #statistics #geostatistics #RangelandAnalysisPlatform
    @USDA @BLM

    #gis #spatial #mapping #fedscience #fedservice #feddata
  34. 💧🌏 Greg Cocks @[email protected] ·

    Antarctic Meltwater Alters Future Projections Of Climate And Sea Level
    --
    doi.org/10.1038/s41467-025-644 <-- shared paper
    --
    doi.org/10.7275/6t64-wy56 <-- shared link to scripts for running the models and creating the figures in this data repository
    --
    #GIS #spatial #mapping #model #modeling #sealevel #sealevelerise #meltwater #Antarctic #projection #forecast #global #climatechange #icesheet #massloss #refinement #meansealevel #SouthernOcean #fluvial #pluvia; #precipitation #overturningcirculation #heattransport #temperature #Pacific #Atlantic #ocean #marine #spatialanalysis #spatiotemporal

    #gis #spatial #mapping #model #modeling #sealevel
  35. 💧🌏 Greg Cocks @[email protected] ·

    Permafrost Formation In A Meandering River Floodplain
    --
    doi.org/10.1029/2024AV001175 <-- shared paper
    --
    “... KEY POINTS:
    • River meandering resets permafrost development and vegetation succession by eroding old floodplain areas and depositing new land
    • On the Koyukuk River, permafrost rapidly forms in new deposits, but it takes over 4 Kyr to develop to its full areal extent of 85%
    • The rate of permafrost formation is likely linked to vegetation succession on younger and overbank deposition on older floodplain areas…”
    #water #hydrology #permafrost #development #research #Alaska #river #stream #watercourse #channel #meandering #vegetation #spatialanalysis #erosion #floodplain #overbank #deposition #sedimentation #KoyukukRiver #riverdynamics #climate #climatechange #Arctic #environment #landform #geomorphology #dating #spatiotemporal #model #modeling #network #GIS #spatial #mapping

    #water #hydrology #permafrost #development #research #alaska
  36. 💧🌏 Greg Cocks @[email protected] ·

    Geologists Got It Wrong - Rivers Didn’t Need Plants To Meander
    --
    sciencedaily.com/releases/2025 <-- shared technical article
    --
    doi.org/10.1126/science.adv4939 <-- shared paper
    --
    #water #hydrology #hydrographic #river #meanders #meandering #sediment #vegetation #geomorphology #geomorphometry #geoscience #geology #riverdynamics #sinuosity #geometry #GIS #spatial #mapping #remotesensing #earthobservation #spatialanalyis #spatiotemporal #bank #pointbar #flow #stratigraphy #geologicrecord #braiding #biogeochemical #stabilised #banks #erosion #roots

    #water #hydrology #hydrographic #river #meanders #meandering
  37. 💧🌏 Greg Cocks @[email protected] ·

    Forests And Cycles Of Agrarian Sustenance - Time-To-Event Analysis Of Ecosystem Provisioning Services And Seasonal Food Insecurity [Sub-Saharan Africa]
    --
    doi.org/10.1080/26395916.2025. <-- shared paper
    --
    #GIS #spatial #mapping #Ghana #MoleNationalPark #Larabanga #Kananto #Kabampe #Grupe #Jang #ecosystem #savanna #Africa #SubSaharanAfrica #food #farming #agriculture #foodsecurity #water #hydrology #weather #climate #watersecurity #rainfall #precipitation #forest #Agrarian #services #seasonal #foodinsecurity #risk #hazard #vegetation #rights #humanrights #forestmanagement #commonland #enclosures #agronomic #stewardship #spatiotemporal #spatialanalysis #income #cost #economics #planning #policy #governance #community

    #gis #spatial #mapping #ghana #molenationalpark #larabanga
  38. 💧🌏 Greg Cocks @[email protected] ·

    New Research Aims To Better Predict And Understand Cascading Land Surface Hazards
    --
    phys.org/news/2025-06-aims-cas <-- shared technical article
    --
    doi.org/10.1126/science.adp955 <-- shared paper
    --
    #interconnected #geology #engineeringgeology #landcover #landsurface #GIS #spatial #mapping #landcover #hydrology #water #geomorphology # geomiorphmetry #risk #hazard #extremeweather #climatechange #cascading #cascadinghazards #debrisflow #wildfire #massmovement #landslides #flood #flooding #mudflow #susceptibility #chainreaction #spatialanalysis #spatiotemporal #prediction #management #planning #mitigation #multifactor #sediment #erosion #fluvial #earthquake #fault #faulting #hazardassessment #riskassessment #volcano #vulcanism #sealevelchange #cryosphere #ice #snow #GLOF #humanimpacts #urban #infrastructure #cost #economics #loss #damage #earthobservation #remotesensing #LiDAR #UAV

    #interconnected #geology #engineeringgeology #landcover #landsurface #gis
  39. 💧🌏 Greg Cocks @[email protected] ·

    Sewage Crisis At California Coastline Can Be Seen From Space [remote sensing]
    --
    sfgate.com/bayarea/article/sew <-- shared media article
    --
    doi.org/10.1016/j.scitotenv.20 <-- shared paper
    --
    doi.org/10.1126/sciadv.ads9476 <-- shared paper
    --
    earth.jpl.nasa.gov/emit/ <-- shared NASA EMIT home page
    --
    #GIS #spatial #mapping #remotesensing #earthobservation #sewage #sewerage #California #coast #coastline #pollution #monitoring #spatialanalysis #spatiotemporal #Tijuana #SanDiego #USA #Mexico #NASA #publichealth #publicsafety #waterquality #airquality #marine #ocean #industrialwaster #stormwater #urban #runoff #estuary #beach #closure #contamination #contaminants #ctinoxate #methamphetamine #reflectance #wastewater #EMIT

    #gis #spatial #mapping #remotesensing #earthobservation #sewage
  40. 💧🌏 Greg Cocks @[email protected] ·

    Darkening Of The Global Ocean
    --
    doi.org/10.1111/gcb.70227 <-- shared paper
    --
    [a little outside of ‘my usual’, but fascinating (and alarming, frankly…)]
    #GIS #spatial #mapping #marine #ocean #photic #photiczone #ecology #change #sunlight #moonlight #spatialanalysis #spatiotemporal #darkening #habitat #biogeochemical #penetration #MODIS #remotesensing #earthobservation #satellite #light #coast #deepsea #openocean #nutrient #sediment #currents #circulation #productivity #fisheries #surface #ecology #ecosystems #impacts #humanimpacts

    #gis #spatial #mapping #marine #ocean #photic
  41. 💧🌏 Greg Cocks @[email protected] ·

    Monitoring Earth's Glacial Lakes From Space With Machine Learning
    --
    dx.doi.org/10.2139/ssrn.520049 <-- shared paper
    --
    #GIS #spatial #mapping #spatialanalysis #spatiotemporal #satellite #earthobservation #remotesensing #glacier #glacial #glaciallakes #lakes #water #hydrology #melting #climatechange #risk #hazard #publicsafety #infrastructure #damage #loss #cost #economics #mountain #cryosphere #artificiaintelligence #glaciallakeoutburstflood #GLOF #satelliteimageanalysis #AI #machinelearning #deeplearning #literaturereview #landsat #sentinel #radar #highalpine #costbenefit #multispectral #hyperspectral #detection

    #gis #spatial #mapping #spatialanalysis #spatiotemporal #satellite
  42. 💧🌏 Greg Cocks @[email protected] ·

    New Sargassum System Takes Aim At A Troublesome Seaweed
    --
    usf.edu/marine-science/news/20 <-- shared article
    --
    coastalscience.noaa.gov/projec <-- shared technical article
    --
    #GIS #spatial #mapping #remotesensing #satellite #fedscience #earthobservation #Caribbean #florida #puertorico #USVI #seaweed #Sargassum #risk #hazard #damage #impact #cleanup #removal #cost #economics #fisheries #tourism #mitigation #spatialanalysis #detection #spatiotemporal #marine #algal #algalbloom #SargassumWatchSystem #costsaving #inundation #imagery #harmfulalgalbloom #HAB #biomass
    @NOAA

    #gis #spatial #mapping #remotesensing #satellite #fedscience
  43. 💧🌏 Greg Cocks @[email protected] ·

    Population Vulnerability Of Residents, Employees, And Cruise-Ship Passengers To Tsunami Hazards Of Islands In Complex Seismic Regions - A Case Study Of The U.S. Virgin Islands
    --
    doi.org/10.1016/j.ijdrr.2025.1 <-- shared paper
    --
    #GIS #spatial #mapping #Tsunami #Evacuation #Mitigation #Risk #Hazard #Modeling #Island #publicsafety #USVI #VirginIslands #damage #loss #infrastructure #cost #economics #humanimpacts #publicsafety #lossoflife #death #earthquake #fault #mitigation #monitoring #warning #response #tourists #locals #employees #cruiseships #population #community #vulnerability #USVirginIslands #ships #vessels #docks #inundation #flood #flooding #waves #maritime #port #scenario #riskassessment #model #modeling #spatialanalysis #spatiotemporal

    #gis #spatial #mapping #tsunami #evacuation #mitigation
  44. 💧🌏 Greg Cocks @[email protected] ·

    Weak Asthenosphere Beneath The Eurasian Interior Inferred From Aral Sea Desiccation
    --
    doi.org/10.1038/s41561-025-016 <-- shared paper
    --
    #GIS #spatial #mapping #remotesensing #earthobservation #inSAR #AralSea #rebound #isostaticrebound #asthenosphere #geology #structuralgeology #mantle #crust #weight #rheology #spatialanalysis #spatiotemporal #continent #desiccation #loss #drying #water #hydrology #elastic #viscoelastic #model #modeling #uplift #lithosphere #humanimpacts #tectonic

    #gis #spatial #mapping #remotesensing #earthobservation #insar
  45. 💧🌏 Greg Cocks @[email protected] ·

    Assessment Of Western Oregon Debris-Flow Hazards In Burned And Unburned Environments
    --
    doi.org/10.1002/esp.70045 <-- shared paper
    --
    [with more and more catastrophic wildfires, the engineering geology awareness and possible mapping of post-fire debris flow risk is important]
    #GIS #spatial #mapping #wildfire #fire #oregon #risk #hazard #geology #geomorphology #risk #hazard #landslide #massmovement #landslide #postfire #soil #spatialanalysis #spatiotemporal #engineeringgeology #extremeweather #naturaldisaster #debrisflow #mechasisms #property #infrastrure #publicsafety #lossoflife #model #modeling #calibration #water #hydrology #inventory #hazardassessment #geomorphometry

    #gis #spatial #mapping #wildfire #fire #oregon
  46. 💧🌏 Greg Cocks @[email protected] ·

    Kinematic Evolution Of A Large Paraglacial Landslide In The Barry Arm Fjord Of Alaska
    --
    doi.org/10.1029/2023JF007119 <-- shared paper
    --
    doi.org/10.5066/P9EUCGJQ <-- shared technical article
    --
    sciencebase.gov/catalogMaps/ma <-- shared web mapping service
    --
    #GIS #spatial #mapping #massmovement #landslide #engineeringgeology #remotesensing #sitespecific #LiDAR #iFSAR #paraglacial #kinematics #mapping #monitoring #spatialanalysis #spatiotemporal #fedscience #risk #hazard #glacier #retreat #climatechange #Alaska #BarryArm #fjord #hazardassessment #tsunami #wave #BarryGlacier #change #sensors #fieldwork #surveillance #melting #permafrost #Whittier #geophysics #geology #Alaska #geomorphometry #deglaciating
    @USGS

    #gis #spatial #mapping #massmovement #landslide #engineeringgeology
  47. 💧🌏 Greg Cocks @[email protected] ·

    River Water Quality Shaped By Land–River Connectivity In A Changing Climate
    --
    doi.org/10.1038/s41558-023-019 <-- shared paper
    --
    #GIS #spatial #mapping #waterquality #river #spatialanalysis #model #modeling #climatechange #climaterisk #spatiotemporal #waterresources #watersecurity #ecosystems #watersupply #extremeweather #biogeochemical #connectedsystems #landforms #runoff #infiltration #surfacewater #groundwater #recharge #metrics #wildfire #fire #drought #management #planning #storms #flood #flooding

    #gis #spatial #mapping #waterquality #river #spatialanalysis
  48. 💧🌏 Greg Cocks @[email protected] ·

    A Planetary Boundary For Geological Resources - Exploring The Limits Of Regional Water Availability
    --
    phys.org/news/2025-03-planetar <-- shared technical article
    --
    doi.org/10.1126/science.adk531 <-- shared paper
    --
    im-mining.com/2023/04/26/unite <-- shared industry article
    --
    #GIS #spatial #mapping #spatialanalysis #spatiotemporal #global #regional #water #hydrology #waterresources #watersecurity #mine #mining #processing #minerals #criticalmetals #energy #products #services #surfacewater #groundwater #naturalresources #resources #geology #ecosphere #technosphere #watermanagement #sustainability #sustainableuselimit #waterconsumption #industry #production #constraints #mineralproduction #economy #economics #model #modeling #coal #iron #copper #gold

    #gis #spatial #mapping #spatialanalysis #spatiotemporal #global
  49. 💧🌏 Greg Cocks @[email protected] ·

    A Planetary Boundary For Geological Resources - Exploring The Limits Of Regional Water Availability
    --
    phys.org/news/2025-03-planetar <-- shared technical article
    --
    doi.org/10.1126/science.adk531 <-- shared paper
    --
    im-mining.com/2023/04/26/unite <-- shared industry article
    --
    #GIS #spatial #mapping #spatialanalysis #spatiotemporal #global #regional #water #hydrology #waterresources #watersecurity #mine #mining #processing #minerals #criticalmetals #energy #products #services #surfacewater #groundwater #naturalresources #resources #geology #ecosphere #technosphere #watermanagement #sustainability #sustainableuselimit #waterconsumption #industry #production #constraints #mineralproduction #economy #economics #model #modeling #coal #iron #copper #gold

    #gis #spatial #mapping #spatialanalysis #spatiotemporal #global
  50. 💧🌏 Greg Cocks @[email protected] ·

    A Planetary Boundary For Geological Resources - Exploring The Limits Of Regional Water Availability
    --
    phys.org/news/2025-03-planetar <-- shared technical article
    --
    doi.org/10.1126/science.adk531 <-- shared paper
    --
    im-mining.com/2023/04/26/unite <-- shared industry article
    --
    #GIS #spatial #mapping #spatialanalysis #spatiotemporal #global #regional #water #hydrology #waterresources #watersecurity #mine #mining #processing #minerals #criticalmetals #energy #products #services #surfacewater #groundwater #naturalresources #resources #geology #ecosphere #technosphere #watermanagement #sustainability #sustainableuselimit #waterconsumption #industry #production #constraints #mineralproduction #economy #economics #model #modeling #coal #iron #copper #gold

    #gis #spatial #mapping #spatialanalysis #spatiotemporal #global