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#geostatistics

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Public
💧🌏 Greg Cocks

A Methodology For The Multitemporal Analysis Of Land Cover Changes And Urban Expansion Using Synthetic Aperture Radar (SAR) Imagery - A Case Study Of The Aburrá Valley In Colombia
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doi.org/10.3390/rs17030554 <-- shared paper
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#GIS #spatial #mapping #SyntheticApertureRadar #SAR #remotesensing #multitemporalanalysis #landcover #landcoverchange #clustering #kurtosis #fuzzylogic #kernelbasedmethod #machinelearning #spatialanalysis #spatiotemporal #geostatistics #model #modeling #AburráValley #Columbia #urban #urbanexpansion #population #growth #topography #monitoring #satellite #sentinel #valley #landuse #distribution #infrastructure #building #roads #naturalresources #environmental #conservation #monitoring #multitemporal

photo - looking down into Medellin, Aburrá Valley, Columbia from a surrounding high ground
annotated maps with imagery - Areas of analysis of the results by the SMA1 methodological route and kurtosis. (A). Central Park in Bello (B). Parques del Río Medellín (C). Arkadia Shopping center; (D). Peldar Plant (E). La García water supply reservoir (F). Conasfaltos dam (G). La Ayurá stream basin in Envigado (H). Central Park in Bello (I). Avenida Regional Norte (J). Vía Distribuidora Sur.
schematic / work flow - proposed methodology for analysis of zonal land cover changes
annonated maps - The Aburrá Valley (white line) between the valleys of the Magdalena and Cauca rivers. Data were acquired from ALOS PALSAR Terrain Corrected and data from IGAC.
Public
💧🌏 Greg Cocks

Identification Of Geothermal Anomalies From Landsat Derived Land Surface Temperature, Mount Meager Volcanic Complex, British Columbia, Canada
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doi.org/10.1016/j.rse.2025.114 <-- shared paper
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“Highlights:
• A novel method for detecting geothermal components from solar energy dominated LST.
• Using LST time series to eliminate temporal variant solar energy input.
• Uncertainty in anomaly identification quantified by probability measure.
• Capable of revealing LST anomalies caused by geothermal, anthropogenic and surface processes..."
#GIS #spatial #mapping #britishcolumbia #BC #solar #geothermal #remotesensing #earthobservation #LST #spatialanalysis #spatiotemporal #naturalresources #volcanic #geology #geostatistics #landsurfacetemperature #satellite #geothermalheatflux #GHF #energybalance #calculation #model #MountMeager #Landsat #landsat8 #hotspring #landslide #massmovement #engineeringgeology #spring #seep #anthropogenic #HEP #hydropower #monitoring #risk #hazard

photo - sampling a fumerole, Job Glacier, Mount Meager, British Columbia, Canada
Inverted resistivity model from AMT data showing the subsurface rock resistivity structure in South Mount Meager (figure modified from Hormozzade Ghalati et al., 2022). a) resistivity slice at 500 m elevation (asl) showing two distinct high conductive anomalies and locations of the cross sections. Cross sections b) and c) in W-E direction, and d) and e) in N-S direction. Anomaly C1 is spatially in accordance with the occurrence of hot-warm spring swarms along the margin of the volcanic complex. Anomaly C2 appears in a circular shape, coincident spatially with the core area of the known deep geothermal prospect.
a) Map showing the location of Mount Meager Volcanic Complex (MMVC) and its relationship with the Garibaldi Volcanic Belt in western Canada (modified from Stewart, 2002). BR (Bridge River), CC (Mt. Cayley), EV (Elaho Valley), MG (Mt. Garibaldi), MC (Mountain Creek), WP (Watts Point). The red rectangular marks the study area. b, a Landsat-8 colour image (2017-07-18) showing details of the study area by a summer view of the MMVC with glacier (blue) at high altitude and vegetation cover (green) along the river valley. The red circle indicates locations of geothermal exploration wells, and orange polygons, the known hot springs.
Enlarged GHF anomaly maps and Google images explaining some of the possible anthropogenic and natural causes of high LST anomalies: a) GHF component of East Meager Anomaly; b) Google Earth image showing hydro-power station related facilities, and open quarries for local construction and road maintenance; c) GHF component of North Meager; d) Google Earth image showing a possible landslide site coincident with the anomalies.
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💧🌏 Greg Cocks

Grfin Tools—User Guide And Methods For Modeling Landslide Runout And Debris-Flow Growth And Inundation
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pubs.usgs.gov/publication/tm14 <-- shared USGS publication
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code.usgs.gov/grfintools/grfin <-- 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

screen shot - grfintools software repository home page (https://code.usgs.gov/grfintools/grfintools)
report figure 2 - Schematic flowchart illustrating common pathways for using Grfin Tools with examples identified in orange boxes
report figure 1 - Perspective view of topography illustrating the potential locations for three types of mass movements that can be derived from a Grfin Tools analysis.
USGS report cover page - Grfin Tools—User Guide And Methods For Modeling Landslide Runout And Debris-Flow Growth And Inundation
Public
💧🌏 Greg Cocks

Dream Jobs Around The World - The Careers People Are Searching For The Most
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remitly.com/gb/en/landing/drea <-- shared article
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[I do like the New Zealanders want to be DJs :) ‘Influencer’ is – thankfully – only hinted at, NOT being a real job, just glorified begging…]“
#GIS #spatial #mapping #FridayFeeling #FridayFun #jobs #careers #global #immigration #emigration #roles #professions #newjob #GoogleSearch #geostatistics #global

map - dream jobs around the world
Public *
💧🌏 Greg Cocks

Linking Inca Terraces With Landslide Occurrence In The Ticsani Valley, Peru
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doi.org/10.3390/geosciences141 <-- 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

photo - terraces in part of the Ticsani Valley, Peru
photos - (A) The main fluvial landforms in the AOI. The Carumas river can be seen here to be bounded by landslides affecting a fluvial terrace covered by agricultural terraces. (B) Landslides affecting a slope close to a community in the AOI. Note the construction of terraces on prior landslide deposits.
schematic / cross-section - Typical profile of terraces built in Southern Peru. Wall rocks are directly piled over an excavated trench in bedrock without mortar. An upward decreasing gradation is used to fill the internal portion of the wall in compacted layers. Fertile arable soil is placed in the top 30 cm.
imagery / map / schematic cross-section - (A) A 3D view of the San Cristobal landslide. (B) A 1:50,000 geological map of the landslide area, modified from [33]. Ki-mat = Matalaque Fm. P-Pi = Puno Fm. Q-pl = colluvial deposits, debris avalanche. Qp-vl-pi = pyroclastic deposits. Red line marks the topographic cross-section shown in A. (C) Cross-section of the San Cristobal landslide with estimated base groundwater conditions (blue) and materials boundaries (green) to be used for modeling and interpreted potential failure surfaces (dashed red).
Public *
💧🌏 Greg Cocks

The 2023 US 50-State National Seismic Hazard Model - Overview And Implications
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usgs.gov/programs/earthquake-h <-- USGS technical article
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doi.org/10.1177/87552930231215 <-- shared paper
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#GIS #spatial #mapping #earthquake #seismichazard #risk #hazard #shakemap #cost #economics #geology #engineeringgeology #hazardmodel #model #modeling #seismicity #faultruptures #groundmotions #probabilistic #probability #geostatistics #engineering #planning #management #mitigation #NSHM #forecast #infrastructure #publicsafety #hazardassessment #fault #faulting #structuralgeology #intensity #mercalli #buildingcode #design #publicpolicy #shakemap #engineeringrisk #future
@USGS @FEMA

A map from the 2018 United States Seismic Hazard Model showing highest hazard in red and lowest hazard in gray. Damage from various earthquakes around the U.S. is shown in the photographs. Larger versions of each photo can be found at: 2001 M6.8 Nisqually, Washington, 2014 M6.0 South Napa, California, 1994 M6.7 Northridge, California, 1975 M7.7 Kalapani, Hawaii, 2011 M5.8 Mineral, Virginia, and 2018 M7.1 Anchorage, Alaska.
maps - The 2023 Modified Mercalli Intensity (MMI) hazard maps of the conterminous United States showing estimates of earthquake shaking in terms of (1) 50% probability of exceedance (PE) in 50 years (somewhat likely), (b) 10% PE in 50 years (uncommon), and (c) 2% PE in 50 years (rare).
maps - Maps show faults, zones applied in the CEUS, and zones of ground-motion model (GMM) amplification for the 2023 50-State National Seismic Hazard Model. The inset map is a close-up view of the New Madrid seismic zone area (orange dashed boundary). Spatial boundaries include potentially induced earthquakes for the update and the previous 2018 zones, 2023 central and eastern United States (CEUS)–western United States (WUS) attenuation boundary update and 2018 boundary, WUS basins, and two areas of uniform seismicity. Fault sections for the WUS (Hatem et al., 2022a, 2022b) and for Alaska from Bender et al. (2021) are shown colored according to slip rates. Fault sections in the CEUS are not shown according to slip rates but all slip rates are less than 0.2 mm/year. The Alaska megathrust is represented by 14 segmented zones. Damaging earthquake locations are shown in all three maps. In addition, we show seismicity for Alaska (M7+) and Hawaii (M5+) (Petersen et al., 2021; Rukstales et al., 2021)....
maps and charts - Normalized probability density function grids of seismicity-based earthquake rates (no fault models) are displayed for (a) the western United States (WUS), (b) the central and eastern United States (CEUS), (c) Alaska, and (d) Hawaii...
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