Manual monitoring of the eutrophication status of water bodies such as a dam is a challenging task. Hence, drone technology can be used in assisting the monitoring work of any water bodies. This study was conducted to develop UAV-based remote sensing to derive indicators in lake water bodies. Four sampling points were chosen for testing where the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Turbidity Index (NDTI) were assessed. DJI Phantom 4 Pro drone was used for the aerial data acquisition. Ex-situ data were also acquired, such as nitrate concentration (N) and phosphate concentration (P). The hyperspectral UAV images were ortho-rectified and geo-referenced in Agisoft PhotoScan software and NDVI value estimation in ArcGIS. Results show the correlation between NDVI values and N and P concentration with coefficients values of 0.7079 for P concentration and 0.7004 for N concentration, respectively. This study confirmed the applicability of remote sensing for water resource management using UAVs, characterized as a quick and easy methodology.
