UAV-based hyperspectral imaging for river algae pigment estimation and development of a low-cost multispectral imager

Riley D. Logan; Shannon M. Hamp; Madison A. Torrey; Rafa Feijó de Lima; Benjamin P. Colman; H. M. Valett; Joseph A. Shaw

doi:10.1117/12.2645371

22 May 2023 UAV-based hyperspectral imaging for river algae pigment estimation and development of a low-cost multispectral imager

Riley D. Logan, Shannon M. Hamp, Madison A. Torrey, Rafa Feijó de Lima, Benjamin P. Colman, H. M. Valett, Joseph A. Shaw

Author Affiliations +

Proceedings Volume 12327, SPIE Future Sensing Technologies 2023; 123270G (2023) https://doi.org/10.1117/12.2645371
Event: SPIE Future Sensing Technologies, 2023, Yokohama, Japan

Abstract

Harmful and nuisance algal blooms are becoming a greater concern to public health, riparian ecosystems, and recreational uses of inland waterways. Algal bloom proliferation has increased in the Upper Clark Fork River in western Montana, USA, due to a combination of warming water temperatures, naturally high phosphorus levels, and an influx of contaminants through anthropogenic nitrogen enrichment along its banks. To improve understanding of bloom dynamics, such as algal biomass, a UAV-based hyperspectral imaging system was deployed to monitor several locations along the Upper Clark Fork River. Image data were collected across the spectral range of 400 - 1000 nm with 2.1 nm spectral resolution during two field sampling campaigns in 2021. Included are methods to estimate chlorophyll a standing crops using regression analysis of salient wavelength bands, before and after separating the pigments according to growth form. Estimates of total chlorophyll a standing crops generated through a brute-force analysis are compared to in-situ data, resulting in a maximum rsquared of 0.62 for estimating filamentous plus epiphytic chlorophyll a. Estimates of total and epilithic pigment standing crops are also included. The salient wavelengths bands used to estimate these pigments were then used as the basis for creating a low-cost imaging system for identifying algal blooms.

Conference Presentation

Citation Download Citation

Riley D. Logan, Shannon M. Hamp, Madison A. Torrey, Rafa Feijó de Lima, Benjamin P. Colman, H. M. Valett, and Joseph A. Shaw "UAV-based hyperspectral imaging for river algae pigment estimation and development of a low-cost multispectral imager", Proc. SPIE 12327, SPIE Future Sensing Technologies 2023, 123270G (22 May 2023); https://doi.org/10.1117/12.2645371

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