Reference health

Scalable and Rapid Building Damage Detection after Hurricane Ian Using Causal Bayesian Networks and Insar Imagery

https://doi.org/10.2139/ssrn.4622272
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6/6 checkable references clean · checked 2026-08-18

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

40 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 6 checked references that resolve
resolves10.1080/19475705.2022.2030414
Hurricane damage assessment using coupled convolutional neural networks: a case study of hurricane Michael
resolves10.1080/01431160412331331012
Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data
resolves10.1111/mice.12425
Image-based post-disaster inspection of reinforced concrete bridge systems using deep learning with Bayesian optimization
resolves10.1007/s11069-020-04133-2
Building damage annotation on post-hurricane satellite imagery based on convolutional neural networks
resolves10.1111/mice.12658
Deep learning for post‐hurricane aerial damage assessment of buildings
resolves10.1061/(ASCE)1527-6988(2006)7:2(94)
HAZUS-MH Hurricane Model Methodology. II: Damage and Loss Estimation
The 40 references without a DOI — listed, not checked
no DOI — not checkedref1
no DOI — not checkedDamage assessment using google street view: Evidence from hurricane michael in mexico beach
no DOI — not checkedHurricane ian street view comparison. Available online
no DOI — not checkedCombined wind-wave-surge hurricane-induced damage prediction for buildings
no DOI — not checkedBuilding damage assessment from post-hurricane imageries using unsupervised domain adaptation with enhanced feature discrimination
no DOI — not checkedUsing artificial neural network models to assess hurricane damage through transfer learning
no DOI — not checkedAvoiding negative transfer for semantic segmentation of remote sensing images
no DOI — not checkedref9
no DOI — not checkedSeismic multi-hazard and impact estimation via causal inference from satellite imagery
no DOI — not checkedRemote sensing of landslides-a review
no DOI — not checkedref13
no DOI — not checkedref15
no DOI — not checkedref16
no DOI — not checkedDeep transfer learning for image-based structural damage recognition
no DOI — not checkedHurricane damage assessment with multi-, crowd-sourced image data: A case study of hurricane irma in the city of miami
no DOI — not checkedref21
no DOI — not checkedref22
no DOI — not checkedref23
no DOI — not checkedref24
no DOI — not checkedref25
no DOI — not checkedref26
no DOI — not checkedref27
no DOI — not checkedref28
no DOI — not checkedDetection of flood extent using sentinel-1a/b synthetic aperture radar: an application for hurricane harvey, houston, tx
no DOI — not checkedUrban flood detection with sentinel-1 multi-temporal synthetic aperture radar (sar) observations in a bayesian framework: a case study for hurricane matthew
no DOI — not checkedHurricane damage classification methodology and fragility functions derived from hurricane sandy's effects in coastal new jersey
no DOI — not checkedRisk and fragility assessment of residential wooden buildings subject to hurricane winds
no DOI — not checkedVulnerability of florida residential structures to hurricane induced coastal flood
no DOI — not checkedA variational approach to bayesian logistic regression models and their extensions
no DOI — not checkedref36
no DOI — not checkedref37
no DOI — not checkedref38
no DOI — not checkedSimulation of storm surge, wave, currents, and inundation in the outer banks and chesapeake bay during hurricane isabel in 2003: The importance of waves
no DOI — not checkedA sensitivity study of rising compound coastal inundation over large flood plains in a changing climate
no DOI — not checkedref41
no DOI — not checkedSentinel-1 insar coherence to detect floodwater in urban areas: Houston and hurricane harvey as a test case
no DOI — not checkedref43
no DOI — not checkedref44
no DOI — not checkedref45
no DOI — not checkedref46
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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