Monitoring the dynamics of land use land cover (LULC) is crucial for the sustainable use of natural resources. This study was intended to analyze the impact of water hyacinth on LULC on Lake Tana, Ethiopia. Satellite images and key informants interview (KII) were sources of the data. Satellite images were captured in October 2010 and 2019 from USGS, and KIIs were conducted with officials and local leaders. Maximum likelihood classification and post-classification were used to analyze the data, and ArcGIS 10.4, Envi 5.3, QGIS 3.12.1 plug in CSP and Excel were tools of data analysis. Spectral separability analysis of endmember files showed that clear windows to separate water hyacinth from other LULC classes were Band 7 VRE, Band 8 NIR and Band 8a Narrow NIR for Sentinel 2 images. The overall classification accuracies of classified images were found to be 95.84% to 98.91%, while the kappa value ranged from 0.93 to 0.97. The land-use land-cover change (LULCC) analysis displayed important changes in the study area. The water hyacinth proliferated from zero in 2010 to 1360.78 ha in 2019 at the expense of water, agricultural land, bare land and other vegetation. The general LULCC of the area from 2010 to 2019 revealed the expansion of water hyacinth, other vegetation and forest with annual rate of 136.08, 312.09 and 58.01 ha, respectively. On the other hand, reduction of area coverage was recorded in agricultural land (115.54 ha/year), water (154.82 ha/year) and bare land (235.8 ha/year). The study concludes that significant LULCC is caused by the water hyacinth, while a continuous assessment of the weed and restoration of healthy the LULC in the lake and surrounding areas is recommended.
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