Evidence map›Paper›PMID 32328814›Full record

ArticleEnvironmental monitoring and assessment2020

Modeling water quality impacts from hurricanes and extreme weather events in urban coastal systems using Sentinel-2 spectral data.

Rose S Sobel, Amin Kiaghadi, Hanadi S Rifai

Abstract read
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In one paragraph

Article in Environmental monitoring and assessment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Rose S SobelCDM Smith, 11490 Westheimer, Suite 700, Houston, TX, 77077, USA.
Amin KiaghadiCivil and Environmental Engineering, University of Houston, 4726 Calhoun, W455 Engineering Building 2, Houston, TX, 77204-4003, USA.
Hanadi S RifaiCivil and Environmental Engineering, University of Houston, 4726 Calhoun, N138 Engineering Building 1, Houston, TX, 77204-4003, USA. rifai@uh.edu.

Funding

National Science Foundation #1759440
6 · The paper itself

Abstract

Conventional water quality measurements are nearly impossible during and immediately after extreme storms due to dangerous conditions. In this study, remotely sensed reflectance is used to develop a regression equation that quantifies total suspended solids (TSS) in near real-time after Hurricane Harvey. The application focused specifically on sediment loading and deposition and its potential impacts on the Houston Ship Channel and Galveston Bay riverine-estuarine system. The European Space Agency's Sentinel-2 satellite captured images at critical points in the storm's progression, necessitating the development of a new algorithm for this relatively new satellite mission. Several linear regressions were analyzed with the goal of developing a simple one- or two-band equation, and the final model uses the red and near infrared bands (R

Indexed as

Cyclonic StormsEnvironmental MonitoringExtreme WeatherModels, TheoreticalWaterWater QualityGeologic SedimentsGulf of AmericaRemote Sensing TechnologySatellite CommunicationsSpectrum AnalysisTexasWaterGISRegressionSatellite imagerySedimentTotal suspended solids (TSS)

Identifiers

What OpenQuestion holds

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Registered trials

None linked

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.