Evidence map›Paper›PMID 40379777›Full record

ArticleScientific reports2025

Satellite-based vertical land motion for infrastructure monitoring: a prototype roadmap in Greater Houston, Texas.

B Buzzanga, M Govorcin, F Kremer, J E Schubert, D P S Bekaert, B Schaeffer, P Milillo, A J Williams, B F Sanders, A L Handwerger and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

B BuzzangaJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA. buzzanga@jpl.nasa.gov.
M GovorcinJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA.
F KremerU.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, OH, USA.
J E SchubertDepartment of Civil and Environmental Engineering, University of California, Irvine, CA, USA.
D P S BekaertJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA.
B SchaefferU.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, Raleigh, NC, USA.
P MililloDepartment of Civil and Environmental Engineering, University of Houston, Houston, TX, USA.
A J WilliamsU.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, Raleigh, NC, USA.
B F SandersDepartment of Civil and Environmental Engineering, University of California, Irvine, CA, USA.
A L HandwergerJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA.
S StaniewiczJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA.

Funding

NASA 80NM0018D0004
6 · The paper itself

Abstract

Coastal regions are critical hubs for industries reliant on transport and storage. However, vital infrastructure including above-ground storage tanks (ASTs), which store hazardous materials, is vulnerable to flooding and often exacerbated by subsidence (negative vertical land motion; VLM). The U.S. Environmental Protection Agency plays a key role in mitigating risks from ASTs. Satellite remote sensing provides a powerful tool to assess hazards and inform decision-making. Here, we present a roadmap for integrating remotely-sensed observations into decision-making frameworks. Using NASA observational products for end-users from remote sensing analysis (OPERA) VLM products derived from Sentinel-1, we map VLM at ~ 30 m resolution across Greater Houston-Galveston. Our analysis reveals widespread, spatially varying subsidence. We determine where VLM trends were linear from 2016 to 2023 and extrapolate them to estimate future VLM. Combining sea-level rise (SLR) scenarios with VLM data, we estimate that by 2050 ASTs in the region will experience at least 26.1 cm of relative SLR, with 10 (14.9%) exposed to more than 60 cm. Integrating a hydrodynamic model with spatially varying relative SLR shows that flooding hazards are amplified during a Hurricane Harvey-like event under future conditions. Overall, we demonstrate the importance of incorporating high-resolution VLM into hazard assessments to support decision-making.

Identifiers

PMID40379777
PMCPMC12084606

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.