## 5 Conclusions  
In this study, we evaluated the spatiotemporal variation in the water hyacinth dynamics and biogeochemical water quality variables, namely Chl-a and TSM concentrations, in Lake Tana during 2020 using remote sensing imagery. The application of the Sen2 Cor and C2 RCC processors to correct the Sentinel-2 satellite images successfully identified the water hyacinth pixels and allowed evaluation of the plant cover and biomass, as well as mapping of the Chl-a and TSM concentration. All variables showed remarkable spatial and temporal variation within the period of the study. The highest values for water hyacinth cover and biomass were observed in the northern and northeastern parts of the lake, where major rivers discharge into the lake, in the late wet season, following the peaked Chl-a and TSM values during the wet season. Although the exact drivers are not well known, and more specific studies are necessary, this pattern suggests the importance of nutrient and sediment load inputs from the catchment area and adjacent agricultural lands and the need to control them in order to control water hyacinth growth and expansion. As the water hyacinth also acts as a nutrient control mechanism, management practices should carefully plan any actions to remove biomass or eradicate this invasive species from the system. However, in the case of Lake Tana, where nutrients are historically limited, removal of the water hyacinth is essential. Satellite images are a powerful tool to monitor in detail this aquatic invasive alien species as well as water quality parameters, contributing to the design of management plans in order to reduce its expansion and preserve aquatic ecosystems services in the area. Consequently, the Sentinel-2A/B twin mission of the European Commission's Copernicus programme is a complementary, synoptic, and powerful tool for inland water monitoring and assessment to improve current practices for managers, as well as to provide insights during environmental crises under a climate change scenario. The following supporting information can be downloaded at: [[https://www.mdpi.com/article/10.3390/rs14194921/s1](https://www.mdpi.com/article/10.3390/rs14194921/s1)]([https://www.mdpi.com/article/10.3390/rs14194921/s1](https://www.mdpi.com/article/10.3390/rs14194921/s1)), Table S1: Previous studies related to water hyacinth detection using remote sensing. The parameters, sensor type, resolution, study period and methodology used for the analysis are specified. Original idea: T.M. and I.C. ; Conceptualization: I.C., T.M., S.H., and S.P. ; Methodology: I.C. ; Formal Analysis: T.M., I.C., S.H., and S.P. ; Resources: I.C. and S.P. ; Writing--Original Draft: T.M. ; Writing--Review and Editing: I.C., S.H., and S.P. ; Visualization: T.M., S.H., S.P., and I.C. ; Supervision: I.C. and S.P. ; Funding acquisition: I.C. and S.P. All authors have read and agreed to the published version of the manuscript. This research was funded by grants RTI2018-098784-J-I00 (Sen2 Coast Project) and IJC2019-039382-I (Juan de la Cierva-Incorporacion) awarded to [PERSON] funded by MCIN/AEI/10.13039/501100011033 and by \"ERDF A way of making Europe\". [PERSON] was funded by the European Commission under the Erasmus Mundus Joint Master Degree Programme in Water and Coastal Management (WACOMA 586596-EPP-1-2017-1-TF-EPPKA1-JMD-MOB grant). [PERSON] was funded by the fellowship of the Fundacion Ramon Areces \"XXIII Convcatoria para Ampliacion de Estudios en el Extranjero en Ciencias de la Vida y de la Materia\". Data Availability Statement: The datasets are available on request. The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation, to any qualified researcher. The authors would like to thank the European Space Agency, the European Commission, and the Copernicus program for distributing Sentinel-2. This work represents a contribution to CSIC Thematic Interdisciplinary Platforms PTI TELEDETECT. We also thank [PERSON] for her English language edits.