@inproceedings{018517257b564306a7da6edf5c654f9c,
title = "Chlorophyll-a and Turbidity estimation using UAV imagery and machine learning in a tropical eutrophic reservoir",
abstract = "Unmanned Aerial Vehicles (UAVs) equipped with multispectral sensors offer a promising approach for monitoring water quality in optically complex inland waters, particularly in tropical eutrophic systems. This study investigates the performance of two UAV-mounted sensors, DJI Phantom 4 Multispectral and MicaSense RedEdge-P Dual, for estimating chlorophyll-a and turbidity concentrations in the Ibirit{\'e} Reservoir, Brazil. Four UAV campaigns were conducted in 2024, alongside in situ measurements, and six regression models were evaluated. Results show that chlorophyll-a was robustly predicted using ensemble algorithms, with the MicaSense sensor achieving the best performance (R2 = 0.867, RMSE = 6.72 μg/L). Turbidity estimation was more variable, with linear regression outperforming complex models when using MicaSense data (R2 = 0.712). The DJI sensor consistently underperformed, mainly due to limited spectral resolution. Findings highlight the critical roles of sensor configuration, spectral sensitivity, and model selection in UAV-based water quality assessment.",
author = "Salim, \{Daniel H. C.\} and Mello, \{Caio C. S.\} and Gabriel Pereira and R.V. Maretto and Machado, \{Frederico Santos\} and Amorim, \{Camila C.\}",
year = "2025",
month = oct,
day = "30",
doi = "10.5194/isprs-archives-XLVIII-2-W11-2025-263-2025",
language = "English",
volume = "XLVIII-2/W11-2025",
series = "The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences",
publisher = "Copernicus",
pages = "263--268",
editor = "Eija Honkavaara and Francesco Nex and Filiberto Chiabrando and \{Alves de Oliveira\}, Raquel and \{V. Lehtola\}, Ville and Dorota Iwaszczuk and \{di Pietra\}, Vicenzo and Taejung Kim",
booktitle = "ISPRS ICWG II/Ia, ICWG I/IV UAV-g 2025 Uncrewed Aerial Vehicles in Geomatics",
address = "Germany",
}