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  1. From Fragmentation To Integration - A Review Of Data–Model Integration In Land Subsidence Research
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    doi.org/10.1016/j.ancene.2026. <-- shared paper
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    H/T @manonzero current drought conditions, increasing pressure on ecosystems, and ongoing climate adaptation challenges, land subsidence is receiving growing attention worldwide.
    For anyone wanting to learn more about land subsidence, or get a refresher, [the authors] provide an overview of the processes involved, the ways it can be measured or estimated, the models used to simulate it, and how observations and models can be combined, [their] new [#openaccess] review paper [link above] may be of interest!
    A central message of the paper is that understanding and managing land subsidence requires bringing these different sources of information together…”
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    “HIGHLIGHTS:
    • Presents a comprehensive synthesis that unifies all major elements of integral land-subsidence research.
    • Defines the methodological steps needed for full integration and positions them within the broader challenges posed by subsidence.
    • Brings together and distills the key components of data, modelling, and integration into a coherent framework.
    ABSTRACT: Land subsidence, the sinking of the Earth’s surface, is a multi-faceted hazard driven by both natural and anthropogenic factors, and poses significant risk to environments, ecosystems, and society. Despite decades of growing research output, substantial gaps persist between investigations on the diversity of causes, reflected in data and model insufficiency. These gaps hinder the understanding of the issue and impede the effectiveness of mitigation measures. Many studies have urged to include all identified subsidence processes acting in a single area in an integral framework, for which a complex analysis has not systematically been outlined before. Therefore, [they] focus here on bridging the gaps between various technical research disciplines involved. [They] stress the urgency for an integral approach that combines observations with subsurface information of all known subsidence processes in an area, and [they] appeal for utilizing them in physics-guided data integrations. Only then can all subsidence drivers be understood, and effective mitigation measures designed. [They] outline the elements for an integral approach in categorical tables and schematized figures, and [they] discuss the main opportunities and challenges in a stepwise workflow. Leveraging these opportunities naturally leads to more robust, scalable, and policy-relevant solutions and fosters a more sustainable future…”
    #Land #subsidence #processes #Verticallandmotion #SLR #sealevel #sealevelrise #relativesealevelrise #modeling #data #model #InSAR #elevation #holistic #GIS #spatial #mapping #climate #drought #extremeweather #climatechange #climateadaption #ecosystems #measurement #monitoring #research #review #framework #overview #risk #hazard #anthropogenic #mitigation #engineering #water #hydrology #policy #planning #design #remotesensing #spatialanalysis #spatiotemporal

  2. Sea Levels Rising Dramatically In Some Areas Due To Land Subsidence [global]
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    phys.org/news/2026-05-sea-area <-- shared technical article
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    doi.org/10.1038/s41467-026-722 <-- shared paper
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    [#VLM = vertical land motion; #ASL = absolute sea-level; #RSL = relative sea-level; #GIA = (global) Glacial Isostatic Adjustment; #inSAR = Interferometric Synthetic Aperture Radar; #GNSS = Global Navigation Satellite System (~GPS); #OE24 = paper, doi.org/10.1038/s41561-023-013, interpolated VLM reconstruction based on the joint analysis of GNSS, tide gauges (TGs), and satellite altimetry]
    #GIS #spatial #mapping #remotesensing #earthobservation #sealevel #verticallandmotion #absolutesealevel #relativesealevel #GlacialIsostaticAdjustment #geomorphometry #SLR #sealevelrise #coast #coastal #flood #flooding #subsidence #landmass #landsubsidence #global #globalsealevelrise #climatechange #city #urban #farmlands #population #demographics #cities #planning #community #elevation #monitoring #spatialanalysis #spatiotemporal #altimetry

  3. Still playing with newly released #Sentinel1C image.

    An Extended Wide swath (EW) image was acquired on south #Groenland by #Sentinel1C on February 6, 2025.

    The day before, a classical Interferometric Wide swat (IW) image was acquired by #Sentinel1A.

    Both images were acquired in polarisation HH - HV.

    I coregister both images like it was an interferometric #InSAR pair and make this short animation showing sea currents variation in this one-day interval.

    So, my InSAR soft compliance with #Sentinel1C strip map (SM), Interferometric Wide swath (IW) and Extended Wide swath (EW) acquisition modes is now fully verified.

    #AMSTerEngine

    #AmsterToolbox (github.com/AMSTerUsers/AMSTer_)

  4. NASA Radar Imagery Reveals Details About Los Angeles-Area Landslides. Landslides on Palos Verdes peninsula have been moving rapidly in last two years. NASA airborne radar called UAVSAR flies on piloted NASA planes and measures displacements of the ground surface using InSAR analysis. We requested flights in three directions to map motion of landslides on the Palos Verdes peninsula next to Los Angeles. #NASA #NASA_JPL #InSAR #radar #landslides

    jpl.nasa.gov/news/nasa-radar-i