Water Hyacinth (Eichhornia crassipes (Mart.) Solms) Impacts on Land-Use Land-Cover Change Across Northeastern Lake Tana

Damtie, Yilebes A.; Mengistu, Daniel

doi:10.1007/s12524-022-01504-z

Cited by 7 publications

(1 citation statement)

References 15 publications

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“…Damtie, Mengistu and Meshesha [23] monitored Lake Tana (Ethiopia), using four images, one for each season, from Sentinel-2 (10 m spatial resolution), observing the effect of this invasive plant on water loss by evapotranspiration increase and mapping its presence using a maximum likelihood classifier. Using the same classification method, Damtie and Mengistsu [24] evaluated the impacts of water hyacinth on land use and land cover in northeastern Lake Tana. The authors used data before water hyacinth presence (2010) from Landsat 5 (30 m spatial resolution) comparing it with 2019 data from Sentinel-2 and it was possible to map not only its proliferation but also to observe that water, agricultural land, and bare land areas suffered an area coverage reduction in favor of water hyacinth.…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Water Hyacinth Monitoring in the Lower Mondego (Portugal) Using Remote Sensing Data

Pádua

Duarte²,

Antão-Geraldes

et al. 2022

Plants

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Monitoring invasive plant species is a crucial task to assess their presence in affected ecosystems. However, it is a laborious and complex task as it requires vast surface areas, with difficult access, to be surveyed. Remotely sensed data can be a great contribution to such operations, especially for clearly visible and predominant species. In the scope of this study, water hyacinth (Eichhornia crassipes) was monitored in the Lower Mondego region (Portugal). For this purpose, Sentinel-2 satellite data were explored enabling us to follow spatial patterns in three water channels from 2018 to 2021. By applying a straightforward and effective methodology, it was possible to estimate areas that could contain water hyacinth and to obtain the total surface area occupied by this invasive species. The normalized difference vegetation index (NDVI) was used for this purpose. It was verified that the occupation of this invasive species over the study area exponentially increases from May to October. However, this increase was not verified in 2021, which could be a consequence of the adopted mitigation measures. To provide the results of this study, the methodology was applied through a semi-automatic geographic information system (GIS) application. This tool enables researchers and ecologists to apply the same approach in monitoring water hyacinth or any other invasive plant species in similar or different contexts. This methodology proved to be more effective than machine learning approaches when applied to multispectral data acquired with an unmanned aerial vehicle. In fact, a global accuracy greater than 97% was achieved using the NDVI-based approach, versus 93% when using the machine learning approach (above 93%).

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Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Water Hyacinth Monitoring in the Lower Mondego (Portugal) Using Remote Sensing Data

Pádua

Duarte²,

Antão-Geraldes

et al. 2022

Plants

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Evaluation of water hyacinth utility through geospatial mapping and in situ biomass estimation approach: a case study of Deepor beel (wetland), Assam, India

Rajora,

Tyagi,

Sarma

et al. 2023

Environ Monit Assess

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As an invasive species, water hyacinths (Eichhornia crassipes) are known to progressively proliferate and cause the ecological invasions of aquatic environment. Their incursions not only cause the disappearance of native species but gradually degrades the natural habitats of freshwater regimes.The control and management of these species is laborious task, however, transforming weed into wealth can substantially serve a sustainable approach to reduce the efforts. Therefore, the present study intends to utilise the application of geospatial techniques for mapping the water hyacinths growth in the Deepor beel (wetland) of Assam, India. Sentinel based image analysis has shown that pre-monsoon seasons has encountered massive productivity and area coverage of water hyacinth, whereas in post-monsoon seasons, productivity of water hyacinths reduces to half. Furthermore, insitu biomass estimation of the water hyacinths samples same around the productive season has been collected and analysed 6 kg (green biomass) and 1 kg (dry biomass after sun-dried). Finally, this hybrid approach evaluated the production and revenue generation from Moorhen yoga mat (handicraft item) made from the dried water hyacinths. After assuming the actual availability of 50% of total mass yield of water hyacinths, around ~ 0.8 million (8.8 lakhs) yoga mats can be commercially produced within the most productive seasons. The revenue generation from the yoga mat in the domestic and international markets evaluated around US $ 12.79 million (Rs. 105.85 Crore) and US $ 15.99 million (Rs. 132.31 crore), respectively from a single productive season. Thus, applicative intent of this study can boost potential market in Assam, renovate the weed waste of water hyacinth into wealth generation, and sustainably support the livelihoods of the local communities.

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Global impact of water hyacinth (Eichhornia Crassipes) on rural communities and mitigation strategies: a systematic review

Abba,

Sankarannair

2024

Environ Sci Pollut Res

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Water Hyacinth (Eichhornia crassipes (Mart.) Solms) Impacts on Land-Use Land-Cover Change Across Northeastern Lake Tana

Cited by 7 publications

References 15 publications

Spatio-Temporal Water Hyacinth Monitoring in the Lower Mondego (Portugal) Using Remote Sensing Data

Spatio-Temporal Water Hyacinth Monitoring in the Lower Mondego (Portugal) Using Remote Sensing Data

Evaluation of water hyacinth utility through geospatial mapping and in situ biomass estimation approach: a case study of Deepor beel (wetland), Assam, India

Global impact of water hyacinth (Eichhornia Crassipes) on rural communities and mitigation strategies: a systematic review

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