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May 3, 20260 citations

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

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MMMohamed Rami MahmoudLGLuis A. GarcíaAEAhmed Abd ElHamid

Key Points

  • This research aims to evaluate the dynamics of water hyacinth invasion using multi-sensor remote sensing.
  • Conducted an 11-year remote sensing assessment from 2013 to 2024.
  • Developed an environmental coherence framework to evaluate 11 multisensor algorithms against hydro-meteorological drivers.
  • Used Landsat 8/9 and Sentinel-1/2 data to analyze water hyacinth dynamics.
  • Identified Sentinel-2 NDVI and NDVI + FAI as the best indicators with the highest environmental coherence scores.
  • Observed a 'boom-bust' invasion cycle with peak phases in 2018-2019 and a recent resurgence.
  • Established a replicable workflow using Google Earth Engine for monitoring aquatic invasions.

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.

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Cite This Study

Mahmoud et al. (2026) studied this question.

synapsesocial.com/papers/69f6e5f38071d4f1bdfc6940https://doi.org/10.1038/s41598-026-46912-0
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