Evidence map›Paper›PMID 38240934›Full record

ArticleEnvironmental monitoring and assessment2024

Implementation of remote sensing algorithms to estimate TOC, Chl-a, and TDS in a tropical water body; Sanalona reservoir, Sinaloa, Mexico.

Alberto Quevedo-Castro, Sergio Alberto Monjardín-Armenta, Wenseslao Plata-Rocha, Jesus Gabriel Rangel-Peraza

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Article in Environmental monitoring and assessment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Alberto Quevedo-CastroFacultad de Ciencias de la Tierra y el Espacio, Universidad Autónoma de Sinaloa, Circuito Interior Oriente, Cd Universitaria, 80040, Culiacán, Sinaloa, Mexico.
Sergio Alberto Monjardín-ArmentaFacultad de Ciencias de la Tierra y el Espacio, Universidad Autónoma de Sinaloa, Circuito Interior Oriente, Cd Universitaria, 80040, Culiacán, Sinaloa, Mexico. sa.monjardin12@info.uas.edu.mx.
Wenseslao Plata-RochaFacultad de Ciencias de la Tierra y el Espacio, Universidad Autónoma de Sinaloa, Circuito Interior Oriente, Cd Universitaria, 80040, Culiacán, Sinaloa, Mexico.
Jesus Gabriel Rangel-PerazaDivisión de Estudios de Posgrado e Investigación, Tecnológico Nacional de México/Instituto Tecnológico de Culiacán, Juan de Dios Bátiz 310, Col. Guadalupe, 80220, Culiacán, Sinaloa, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study implements a methodology to estimate water quality values using statistical tools and remote sensing techniques in a tropical water body Sanalona. Linear regression models developed by Box-Cox transformations and processed data from LANDSAT-8 imagery (bands) were used to estimate TOC, TDS, and Chl-a of the Sanalona reservoir from 2013 to 2020 at five sampling sites measured every 6 months. A band discriminant analysis was carried out to statistically fit and optimize the proposed algorithms. Coefficients of determination beyond 0.9 were obtained for these water quality parameters (r

Indexed as

ChlorophyllRemote Sensing TechnologyAlgorithmsChlorophyll AEnvironmental MonitoringMexicoWater QualityChlorophyllChlorophyll AGeographic information systems (GIS)ModelingRemote sensingTropical reservoirsWater quality

Identifiers

PMID38240934

What OpenQuestion holds

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Registered trials

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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.