Lmst

#quantifaction

Nearly 2 Billion People Globally At Risk From Land Subsidence
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https://phys.org/news/2024-03-billion-people-globally-subsidence.html <-- shared technical article
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https://doi.org/10.1029/2023GL104497 <-- shared paper
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#GIS #spatial #mapping #global #remotesensing #earthobservation #subsidence #land #geomorphology #engineeringgeology #monitoring #spatialanalysis #risk #hazard #spatiotemporal #geomorphometry #climatechange #deeplearning #GPS #water #hydrology #groundwater #pumping #extraction #watersecurity #geohazard #infrastrucure #naturalresources #humanimpact #model #modeling #urban #cities #rural #prediction #statistics #geostatistics #flood #flooding #naturalhazards #permafrost #aquifer #waterresources #prediction #quantifaction #hotspots

drone photo, oblique - land subsidence in Iran due to groundwater pumping / extraction

maps and charts - (a)—Locations of recorded subsidence rates. Includes 34 sources with reported subsidence maps that were subsequently digitized and converted to points at 30″ resolution, 193 sources with a single subsidence point per source, and 19221 GPS stations. (b)—Frequency distribution of the subsidence rates. (c–e)—Digitization workflow. (c)—Points detected by the digitization algorithm, based on the provided colors in the legend of the original image in Figure S1 of the Supporting Information S1. (d)—Visualization of the extracted points in GIS software, based on extracted longitude, latitude, and rates. (e)—Final locations of the points, after resampling and snapping on the 30″ tiles of the predictor maps.

charts & graphs - summary of the methodology and results used in the research paper

maps and charts - Global prediction of land subsidence, with relevant feature importance and zonal statistics at the top

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