Evidence map›Paper›PMID 42062360›Full record

ArticleScientific reports2026

Environmental coherence framework for multi-sensor remote sensing: water hyacinth assessment in Lake Tana.

Mohamed Rami Mahmoud, Luis A Garcia, Ahmed Abd Elhamid, Mostafa Aboelkhear

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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.

Mohamed Rami MahmoudNational Water Research Center, Ministry of Water Resources & Irrigation, Cairo, Egypt. mohamed_rami@nwrc.gov.eg.ORCID http://orcid.org/0000-0002-3393-987X
Luis A GarciaCivil and Environmental Engineering Department, University of Vermont, Burlington, VT, 05405, USA.
Ahmed Abd ElhamidNational Water Research Center, Ministry of Water Resources & Irrigation, Cairo, Egypt.ORCID http://orcid.org/0000-0002-7292-3176
Mostafa AboelkhearDepartment of Physics and Astronomy (DIFA), University of Bologna, Bologna, Italy.ORCID http://orcid.org/0009-0003-6549-2122

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Invasive water hyacinth threatens Lake Tana, Ethiopia-the source of the Blue Nile. This study presents the first comprehensive 11-year (2013-2024) remote sensing assessment of the water hyacinth invasion dynamics. It introduces a novel environmental coherence framework-grounded in established indirect validation paradigms-to evaluate 11 multisensor algorithms (using Landsat 8/9, Sentinel-1, and Sentinel-2 data) against hydro-meteorological drivers, providing an ecologically grounded validation alternative when systematic field surveys are impractical. This environmental coherence framework identified Sentinel-2 NDVI and NDVI + FAI as the best indicators, achieving the highest relative environmental coherence scores among the 11 indicators tested. The time series generated by this framework follows a complex 'boom-bust' invasion cycle, with a peak phase (2018-2019), a subsequent decline, and a recent resurgence. Our findings establish a replicable, Google Earth Engine based workflow for monitoring aquatic invasions in data-scarce tropical regions and provide critical, data-driven insights for targeted environmental management.

Indexed as

Blue Nile basinEnvironmental coherenceGoogle Earth EngineInvasive species monitoringLake TanaMulti-sensor fusionRemote sensingWater hyacinth

Identifiers

PMID42062360
PMCPMC13133331

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.