#geostatistics — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #geostatistics, aggregated by home.social.
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Mapping Flood Agents In The Northern Pantanal Wetland Using Multiple Spatio-Temporal GIS And Remote Sensing Techniques
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https://doi.org/10.1007/s13157-026-02082-3 <-- shared paper
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H/T @renato Gatto de Morais | Geógrafo | Mestre em Recursos Hídricos | Doutorando em Geografia
“Combining MODIS data, TRMM, river discharge, a digital terrain model, and multinomial logistic regression, [the authors] identified three predominant classes of flood origin: local rainfall, bank overflow, and mixed areas. The model achieved a Nagelkerke Pseudo-R² of 0.63 and a classification accuracy of up to 81.2% (10-fold cross-validation). To the best of [their] knowledge, this is the first explicit approach to mapping flood agents for this wetland, a component that has historically remained unmapped despite its recognized influence on habitats and biodiversity…”
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“The mapping of functional hydrologic units is crucial for enhancing our understanding of flooding and hydroecological processes in large wetlands. These units are typically defined by flooding frequency, duration, and magnitude, but another important hydrologic characteristic is the origin of flooding, known as the flood agent. This study presents an empirical framework utilizing remote sensing and GIS procedures for modeling flood agents in the northern Pantanal wetland. Eleven spatial data layers were derived from multi-year MODIS flood maps, daily rainfall estimates from the TRMM 3B42 grid, in situ discharge data, the BEST Digital Terrain Model, and a hydrographic network layer. These layers were tested for their predictive power in a multinomial logistic regression mapping model. Model performance metrics, along with qualitative validation of mapping outcomes using in situ flooding measurements, and vegetation and soil data from field test sites, support the plausibility of the proposed mapping scheme. However, they also highlight the challenges of flood agent mapping in large tropical wetlands…”
#GIS #spatial #mapping #MODIS #TRMM #riverdischarge #digitalterrainmodel #multinomiallogisticregression #geostatistics #Pantanal #Cuiaba #Brazil #water #hydrology #spatialanalysis #spatiotemporal #remotesensing #earthobservation #flood #flooding #source #type #floodagent #tropical #wetland #habitat #biodiversity #ecosystem #hydrologicunit #hydroecology #model #modeling #rainfall #precipitation #weather #climate #discharge #network #metrics -
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 -
Coastal Flooding At Predictable Hours
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https://doi.org/10.1038/s41467-026-75710-5 <-- shared paper
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H/T @bruna Alves | Nature Communications | Editor
“When do coastal floods happen? ⏱️🌊
A new study [link above] shows that, in many tide-dominated coastal regions, flooding tends to occur at specific and recurring times of day. Rather than being completely random, flood events often cluster around predictable hours driven by local tidal patterns.
By analysing coastal flood observations from the UK and the US, [the authors] show[ed] that the timing of flood events can be highly structured, with some locations experiencing floods disproportionately during certain parts of the day.
This adds a temporal dimension to coastal flood risk. We often focus on how frequently floods occur, how severe they are, and where they happen. This study highlights that when they occur may also matter, particularly as rising sea levels increase the frequency of coastal flooding.
The findings provide a useful perspective for coastal adaptation, risk communication, and emergency planning…”
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“Flooding is typically perceived as a sudden and unpredictable hazard. Here, [they] show that recurrent flooding can occur at highly predictable times in tidally dominated coastal systems. This predictability stems from phase-locking of tidal constituents and constituent pairs with the solar day, causing peak tides to recur at consistent local times set by regional tidal propagation. Using tide-gauge records from the United States and the United Kingdom, [they] quantif[ied] the intraday timing of coastal flood events and show strong clustering at specific hours, particularly where semidiurnal or mixed tides dominate. For example, floods in Boston cluster around noon and midnight, whereas in southern California they occur in the morning. Sites with stronger non-tidal variability show weaker clustering. This temporal predictability extends beyond nuisance flooding to larger consequential events involving inundation, road closures and infrastructural damage, highlighting opportunities for anticipatory risk communication, emergency planning and time-sensitive coastal adaptation…”
#coast #coastal #flood #flooding #spatialanalysis #spatiotemporal #time #statistics #geostatistics #tide #tidal #timing #temporal #floodrisk #risk #hazard #sealevel #sealevelrise #climatechange #emergency #planning #tideguage #UK #USA #innundation #infrastructure #transportation #riskcommunication -
Using Geospatial Analysis and Explainable Machine Learning to Examine Risk Factors of Out-of-Hospital Cardiac Arrest Survival Outcome
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https://openscholar.uga.edu/record/26998/files/Zhang_uga_0077E_16145.pdf <-- shared technical publication / dissertation
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https://www.aag.org/award-grant/william-l-garrison-award-for-best-dissertation-in-computational-geography/ <-- shared @AAG William L. Garrison Award for Best Dissertation in Computational Geography
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[again, way outside any expertise I might have, but fascinating spatial analysis use case…]
H/T @Jielu Zhang | Postdoctoral Researcher @ Harvard University
“[The authors] Ph.D. dissertation "Using Geospatial Analysis and Explainable Machine Learning to Examine Risk Factors of Out-of-Hospital Cardiac Arrest Survival Outcome" [1st link above] has received the 2026 biennial William L. Garrison Award for Best Dissertation in Computational Geography from the American Association of Geographers… [2nd link above.]
In [their] research, [they] develop[ed] Explainable GeoAI and Causal GeoAI methods that combine geographic data and artificial intelligence to expose and ameliorate health disparities by delivering models that not only predict risks but also illuminate how and where to intervene. While [their] dissertation focused on cardiovascular disease, these approaches are broadly applicable to public health, medicine, urban planning, environmental exposure, and resilience research…”
#explainable #causal #AI #model #modeling #PublicHealth #GIS #spatial #mapping #spatialanalysis #spatiotemporal #AAG2026 #AAG #Award #geostatistics #Georgia #health #risk #hazard #cardiacarrest #cardiovacscular #usecase #metrics #midocine #urbanplanning #resilience #survival #OutofHospital #PhD #Dissertation #CardiacArrest #AutomatedExternalDefibrillator #SpatialOptimization #GeographicallyExplainableArtificialIntelligence #GeoAI #GeoXAI #SpatiallyAwareCausalInference #OverlayedSpatioTemporalOptimization #healthcare #medical #intervention #GIS #spatial #mappingt #spatialanalysis #spatiotemporal #heart #heartattack #AED #survival #survivaloutcomes #machinelearning #AI #publichealth #healthgeographers #counterfactual #explainable #deeplearning #model #modeling -
Decoupling Of Surface Water Storage From Precipitation In Global Drylands Due To Anthropogenic Activity
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https://doi.org/10.1038/s44221-024-00367-7 <-- shared paper
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“The availability of surface water in global drylands is essential for both human society and ecosystems. However, the long-term drivers of change in surface water storage, particularly those related to anthropogenic activities, remain unclear. Here [they] use[d] multi-mission remote sensing data to construct monthly time series of water storage changes from 1985 to 2020 for 105,400 lakes and reservoirs in global drylands. An increase of 2.20 km³ per year in surface water storage is found primarily due to the construction of new reservoirs. For lakes and old reservoirs (constructed before 1983), conversely, the trend in storage is minor when aggregated globally, but they dominate surface water storage trends in 91% of individual global dryland basins. Further analysis reveals that long-term storage changes in these water bodies are primarily linked to anthropogenic factors - including human-induced warming and water-management practices - rather than to precipitation changes, as previously thought. These findings reveal a decoupling of surface water storage from precipitation in global drylands, raising concerns about societal and ecosystem sustainability…”
#water #hydrology #hydrography #waterstorage #waterresources #surfacewater #global #drylands #precipitation #rainfall #watersecurity #ecosystems #habitat #publichealth #anthropogenic #GIS #spatial #mapping #remotesensing #earthobservation #spatiotemporal #spatialanalysis #monitoring #geostatistics #engineering #reservoirs #infrastructure #lakes #waterbodies #globalwarming #climatechange #sustainability #planning #baseline -
On The Use Of Rainfall Time Series For Regional Landslide Prediction By Means Of Functional Regression
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https://doi.org/10.1016/j.enggeo.2026.108860 <-- shared paper
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#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 -
Half Of European Municipalities Have Fewer Inhabitants Than 60 Years Ago
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https://correctiv.org/aktuelles/2026/04/21/die-haelfte-der-europaeischen-gemeinden-hat-weniger-einwohner-als-vor-60-jahren/ <-- shared technical / spatiotemporal article
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https://data.jrc.ec.europa.eu/dataset/37fcacbf-12e2-4b31-b1af-83117a74b2c7 <-- shared European Joint Research Centre (JRC) ARDECO Local Population Time-Series – 1961-2024
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#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 -
Influence Of Modeling Assumptions On Pedestrian Evacuation Success For Non-Eruptive Lahar Hazards At Mount Rainier, Washington
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https://doi.org/10.1016/j.ijdrr.2026.106132 <-- shared paper
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https://www.sciencebase.gov/catalog/item/697ba3e5b66b0197c3043d2f <-- shared, related open data source
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[I still remember working on and being fascinated by lahars being an engineering geologist in Washington State (and from my time studying in New Zealand), although (of course) not to this level of detail/focus]
#volcano #lahar #evacuation #exposure #model #modeling #engineeringeology #risk #hazard #naturalhazard #MountRainer #Washington #USA #spatialanalysis #spatiotemporal #emergencymanagement #GIS #spatial #mapping #publicsafety #hazardzone #vulcanism #downstream #debrisflow #massmovement #monitoring #detection #geostatistics #demographics #atrisk #fedscience #publicgood #fedservice #opendata
@USGS -
A Review Of Current Best Practices And Future Directions In Assimilating GRACE/-FO Terrestrial Water Storage Data Into Numerical Models
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https://doi.org/10.5194/hess-30-985-2026 <-- shared technical article/review 📖 🔗
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https://grace.jpl.nasa.gov/ <-- @nasa @JPL home page, Gravity Recovery and Climate Experiment (GRACE)
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#GRACE #GRACEFO #DataAssimilation #EarthObservation #Hydrology #WaterResources #ClimateScience #RemoteSensing #CRC1502 #GIS #spatial #mapping #remotesensing #satellite #earthobservation #water #hydrology #model #modeling #landsurface #hydrogeomorphology #geomorphology #geomorphometry #waterresources #waterstorage #monitoring #groundwater #trends #spatialanalysis #spatiotemporal #droughts #floods #extremeweather #literature #review #summary #watercycle #geostatistics #humanimpacts #irrigation #watermanagement #anthropogenic #pumping #extraction #AI #ML #machinelearning -
Mapping of Closed Depressions in Karst Terrains - A GIS-Based Delineation of Endorheic Catchments in the Alburni Massif (Southern Apennine, Italy)
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https://doi.org/10.3390/hydrology12070186 <-- shared paper 🔗
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#doline #poljes #endorheic #karst #GIS #spatial #mapping #DEM #spatialanalysis #geomorphometry #morphometry #remotesensing #glacial #proglacial #glacier #tectonics #geology #water #hydrography #hydrology #hydrogeomorphic #groundwater #surfacewater #closeddepressions #overland #epigenic #subsurface #hypogenic #flow #landform #geomorphology #AlburniMassif #Apennines #Italy #spatialanalysis #elevation #geostatistics #structuralgeology #waterresources #watermanagement #recharge #modeling #tracertest #dyetest #mapping -
Mapping of Closed Depressions in Karst Terrains - A GIS-Based Delineation of Endorheic Catchments in the Alburni Massif (Southern Apennine, Italy)
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https://doi.org/10.3390/hydrology12070186 <-- shared paper 🔗
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#doline #poljes #endorheic #karst #GIS #spatial #mapping #DEM #spatialanalysis #geomorphometry #morphometry #remotesensing #glacial #proglacial #glacier #tectonics #geology #water #hydrography #hydrology #hydrogeomorphic #groundwater #surfacewater #closeddepressions #overland #epigenic #subsurface #hypogenic #flow #landform #geomorphology #AlburniMassif #Apennines #Italy #spatialanalysis #elevation #geostatistics #structuralgeology #waterresources #watermanagement #recharge #modeling #tracertest #dyetest #mapping -
Mapping of Closed Depressions in Karst Terrains - A GIS-Based Delineation of Endorheic Catchments in the Alburni Massif (Southern Apennine, Italy)
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https://doi.org/10.3390/hydrology12070186 <-- shared paper 🔗
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#doline #poljes #endorheic #karst #GIS #spatial #mapping #DEM #spatialanalysis #geomorphometry #morphometry #remotesensing #glacial #proglacial #glacier #tectonics #geology #water #hydrography #hydrology #hydrogeomorphic #groundwater #surfacewater #closeddepressions #overland #epigenic #subsurface #hypogenic #flow #landform #geomorphology #AlburniMassif #Apennines #Italy #spatialanalysis #elevation #geostatistics #structuralgeology #waterresources #watermanagement #recharge #modeling #tracertest #dyetest #mapping -
Mapping of Closed Depressions in Karst Terrains - A GIS-Based Delineation of Endorheic Catchments in the Alburni Massif (Southern Apennine, Italy)
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https://doi.org/10.3390/hydrology12070186 <-- shared paper 🔗
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#doline #poljes #endorheic #karst #GIS #spatial #mapping #DEM #spatialanalysis #geomorphometry #morphometry #remotesensing #glacial #proglacial #glacier #tectonics #geology #water #hydrography #hydrology #hydrogeomorphic #groundwater #surfacewater #closeddepressions #overland #epigenic #subsurface #hypogenic #flow #landform #geomorphology #AlburniMassif #Apennines #Italy #spatialanalysis #elevation #geostatistics #structuralgeology #waterresources #watermanagement #recharge #modeling #tracertest #dyetest #mapping -
Mapping of Closed Depressions in Karst Terrains - A GIS-Based Delineation of Endorheic Catchments in the Alburni Massif (Southern Apennine, Italy)
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https://doi.org/10.3390/hydrology12070186 <-- shared paper 🔗
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#doline #poljes #endorheic #karst #GIS #spatial #mapping #DEM #spatialanalysis #geomorphometry #morphometry #remotesensing #glacial #proglacial #glacier #tectonics #geology #water #hydrography #hydrology #hydrogeomorphic #groundwater #surfacewater #closeddepressions #overland #epigenic #subsurface #hypogenic #flow #landform #geomorphology #AlburniMassif #Apennines #Italy #spatialanalysis #elevation #geostatistics #structuralgeology #waterresources #watermanagement #recharge #modeling #tracertest #dyetest #mapping -
Drivers Of Forest Disturbance In Southeast Asia [incl. spatial analysis]
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https://doi.org/10.1016/j.jag.2026.105220 <-- shared paper 🔗
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https://github.com/shijuanchen/SEA_forest_dis <-- shared GitHub ‘data repository 🔗
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#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 -
Changes In Dominant Streamflow Drivers As Network-Scale Flow Regime Shifts From Intermittent To Ephemeral Across A Multi-Year Drought
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https://doi.org/10.1002/hyp.70413 <-- shared paper
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#GIS #spatial #mapping #water #hydrology #fluvial #pluvial #precipitation #extremeweather #California #USA #semiarid #watershed #headwaters #weather #metrology #spatialanalysis #spatiotemporal #model #modeling #geostatistics #monitoring #sensors #instrumentation #insitu #drought #streamflow #ephemeral #intermittent #catchments #waterresources #watermanagement #watersecurity #planning
#coast #coastal #hydrogeomorphic #geology #climate -
Building Damage Risk In Sinking Indian Megacities
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https://doi.org/10.1038/s41893-025-01663-0 <-- shared paper
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https://doi.org/10.5194/isprs-annals-X-G-2025-613-2025 <-- shared paper
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https://www.downtoearth.org.in/urbanisation/writing-on-the-wall-groundwater-exploitation-is-triggering-subsidence-in-indo-gangetic-plain-90523 <-- shared media article
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#GIS #spatial #mapping #spatialanalysis #India #subsidence #risk #hazard #groundwater #depletion #exploitation #pumping #sinking #overpumping #aquifer #watermanagement #structural #damage #infrastructure #cost #residential #publicsafety #economics #engineering #construction #buildingcodes #remotesensing #model #modeling #satellite #earthobservation #elevation #megacities #city #cities #urban #differential #settlement #planning #policy #mitigation #maintainence #inSAR #verticallandmovement #VLM #engineeringgeology #geostatistics #flood #flooding #sediment -
Controls On Longitudinal Stream Profile Evolution In Guadalupe Mountains National Park
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https://doi.org/10.1080/24694452.2025.2511941 <-- shared paper
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#GIS #spatial #mapping #FlintsLaw #GuadalupeMountainsNationalPark #longitudinal #streamprofile #rockstrength #SchmidtHammer #engineeringgeology #geology #GuadalupeMountains #NationalPark #water #hydrology #hydrography #erosion #boundaryconditions #spatialanalysis #remotesensing #climate #geomorphometry #geomorphology #lithology #rock #bedrock #incision #river #profile #testing #climatechange #surfaceprocesses #statistics #geostatistics #concanity #steepness #knickpoints #corrleation #model #modeling #NewMexico -
Land Surface Heterogeneity And Tornado Occurrence - An Analysis Of Tornado Alley And Dixie Alley
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https://doi.org/10.1080/19475705.2019.1583292 <-- shared paper
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#GIS #spatial #mapping #NLCD #climatechange #severeweather #extremeweather #environment #slope #remotesensing #landcover #extremeweather #landcover #landuse #tornado #risk #hazard #damage #cost #economics #publicsafety #infrastructure #loss #USA #TornadoAlley #DixieAlley #landsurface #topography #vegetation #spatialanalysis #model #modeling #heterogeneity #variables #parameters #factors #geostatistics #statistics #EROS #fedscience -
Monitoring Antarctic Krill (Euphausia Superba) Distribution In The Southern Ocean - Environmental DNA (eDNA) Adds To The Toolbox
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https://doi.org/10.3389/fmars.2025.1502498 <-- shared paper
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#GIS #spatial #mapping #spatialanalysis #krill #Euphausia #Antarctic #Antarctica #SouthernOcean #ecosystem #fishing #fishery #cost #economics #sustainability #sustainable #biomass #eDNA #DNA #remotesensing #acoustic #geostatistics #trawler #swarms #naturalresource #habitat #ice #benthic -
Grfin Tools—User Guide And Methods For Modeling Landslide Runout And Debris-Flow Growth And Inundation
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https://pubs.usgs.gov/publication/tm14A3 <-- shared USGS publication
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https://code.usgs.gov/grfintools/grfintools <-- shared USGS software release
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H/T Jonathan Perkins USGS
[ another open source resource for everyone from the USGS ~smile~ ]
#GIS #spatial #mapping #opensource #openlibrary #Grfin #software #package #regional #debrisflow #engineeringgeology #geology #inundation #spatialanalysis #spatiotemporal #geophysics #geophysical #massmovement #landslide #lahar #volcano #rock #avalanche #model #modeling #statistical #geostatistics #water #hydrology #downstream #elevation #remotesensing #DEM #flow #runout #risk #hazard #tools #slope #erosion #drainage #network #channel #channelisation #userguide
@USGS -
[USGS] Geologic Hydrogen Prospectivity Map Explorer
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https://www.usgs.gov/index.php/tools/geologic-hydrogen-prospectivity-map-explorer <-- shared technical resource
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https://doi.org/10.3133/pp1900 <-- shared USGS publication
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https://certmapper.cr.usgs.gov/data/apps/hydrogen/ <-- link to web map
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#GIS #spatial #mapping #remotesensing #geology #geophysics #geophysical #magnetics #gravity #gravimetric #hydrogen #geologichydrogen #fuel #fuelsource #prospecting #spatialanalysis #USA #prospectivity #webmap #CONUS #naturalhydrogen #hydrogengas #cleanfuels #fossilsfuels #climatechange #serpentinization #radiolysis #geologicprocesses #geostatistics
@USGS -
Linking Inca Terraces With Landslide Occurrence In The Ticsani Valley, Peru
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https://doi.org/10.3390/geosciences14110315 <-- shared paper
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[takes me back to my engineering geology days in the Southern Hemisphere, including my thesis – with a healthy dose of spatial analysis and modeling – and all with a specific use; what is not to like?]
#GIS #spatial #mapping #landslides #massmovement #Inca #Andes #irrigation #terraces #Peru #SouthAmerica #confusionmatrix #logisticregression #geohazards #spatialanalysis #spatiotemporal #terracing #water #hydrology #surfaceflow #geomechanical #geotechnical #Ticsani #algorithm #processes #geostatistics #river #slope #agriculture #farming #soils #geology #risk #hazard #publicsafety #fem #model #modeling #rainfall #precipitation #permeability #groundwater #subsurfaceflow #instability #fluvial #erosion -
MarineTraffic – Web Map Of Global Shipping
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https://www.marinetraffic.com/en/ais/home/shipid:381733/zoom:10 <-- shared live web map example
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https://youtu.be/1QJknKiP9_Y?si=cjHHA-SmWXWs8bqQ <-- introductory video
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[sharing of this website/service does not constitute an endorsement]
#GIS #spatial #mapping #webmap #spatialanalysis #global #MarineTraffic #shipping #telecommunications #research #vessel #movement #tracking #safety #navigation #incidents #critical #risk #hazard #mitigation #planning #marine #ocean #informationsystems #geostatistics #statistics #ports #pollution #routing #weather #metrology #piracy #protection #cargo #trade #internationaltrade -
Global Groundwater Depletion Is Accelerating But Is Not Inevitable, Say Researchers
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https://phys.org/news/2024-01-global-groundwater-depletion-inevitable.html <-- shared technical article
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https://youtu.be/Hv5tlyKEoXU?si=sovXv2kSQFdN3AtO <-- shared paper
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#GIS #spatial #mapping #water #hydrology #groundwater #waterresources #watermanagement #management #global #depletion #pumping #overpumping #model #modeling #spatialanalysis #spatiotemporal #waterlevel #literaturesearch #database #records #aquifer #subsurface #climatechange #subsidence #arid #farming #agriculture #irrigation #wateruse #watersecurity #historicaldata #statistics #geostatistics -
How Accurate Are Existing Land Cover Maps For Agriculture In Sub-Saharan Africa? [metrics]
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https://doi.org/10.1038/s41597-024-03306-z <-- shared paper
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#GIS #spatial #mapping #remotesensing #earthobservation #EO #Africa #SubSaharan #metrics #foodsecurity #agriculture #farming #crops #cropland #landcover #monitoring #quantative #datasources #statistics #geostatistics #accuracy #precision #model #modeling #Kenya #Malawi #Mali #Rwanda #Tanzania #Togo #Uganda #Zambia -
A New, Rigorous Assessment Of Remote Sensing Tool's Accuracy For Supporting Satellite-Based Water Management [NASA's OpenET]
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https://phys.org/news/2024-01-rigorous-remote-tool-accuracy-satellite.html <-- shared technical article
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https://doi.org/10.1038/s44221-023-00181-7 <-- shared paper
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https://www.nasa.gov/image-article/openet-satellite-based-water-data-resource/ <-- NASA OpenET satellite-based water data home page
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https://youtu.be/uAapAAInDpQ?si=njJfqvrtZ1MWR3CQ <-- NASA OpenET overview video
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#GIS #spatial #mapping #water #waterresources #hydrology #watersecurity #OpenET #remotesensing #model #modeling #satellite #watermanagement #statistics #geostatistics #opendata #arid #sustainable #landsat #evapotranspiration #ET #corrleation #watermanagement #soil #plant #crops #cropland #agriculture #farming #wheat #corn #soy #rice #waterconservation #watersustainability #watersupply #NASA
@nasa -
Aotearoa New Zealand’s Coastal Archaeological Heritage - A Geostatistical Overview Of Threatened Sites
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https://doi.org/10.1080/15564894.2023.2207493 <-- shared paper
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#GIS #spatial #mapping #spatialanalysis #archaeology #newzealand #sealevelrise #sealevel #SLR #coast #coastal #Aotearoa #maori #history #midden #middens #settlements #pas #climatechange #erosion #innundation #coastalsensitivityindex #CSI #model #modeling #impacts #future #ArchSite #integrateddatasets #shoreline #massmovement #landslides #burial #burialsites #culture #cultural #firstnation #indigenous #earthworks #fortifications #coastalerosion #coastalarchaeology #remotesensing #referencedatasets #prediction #geostatistics #geostatistical #gischat #Heritage #ThreatenedSites