Benthic river algae mapping using hyperspectral imagery from unoccupied aerial vehicles

被引:0
作者
Logan, Riley D. [1 ]
Shaw, Joseph A. [1 ]
机构
[1] Montana State Univ, Opt Technol Ctr & Elect, Comp Engn Dept, Bozeman, MT 59717 USA
基金
美国国家科学基金会;
关键词
river algae; hyperspectral imaging; unoccupied aerial vehicles; water optics; water quality; SUBMERGED AQUATIC VEGETATION; WATER;
D O I
10.1117/1.JRS.18.024513
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The increasing prevalence of nuisance benthic algal blooms in freshwater systems has led to water quality monitoring programs based on the presence and abundance of algae. Large blooms of the nuisance filamentous algae, Cladophora glomerata, have become common in the waters of the Upper Clark Fork River in western Montana. To aid in the understanding of algal growth dynamics, unoccupied aerial vehicle (UAV)-based hyperspectral images were gathered at three field sites along the length of the river throughout the growing season of 2021. Select regions within images covering the spectral range of 400 to 850 nm were labeled based on a combination of professional judgment and spectral profiles and used to train a random forest classifier to identify benthic algal growth across several classes, including benthic growth dominated by Cladophora (Clado), benthic growth dominated by growth forms other than Cladophora (non-Clado), and areas below a visually detectable threshold of benthic growth (bare substrate). After classification, images were stitched together to produce spatial distribution maps of each river reach while also calculating the average percent cover for each reach, achieving an accuracy of approximately 99% relative to manually labeled images. Results of this analysis showed strong variability across each reach, both temporally (up to 40%) and spatially (up to 46%), indicating that UAV-based imaging with high-spatial resolution could augment and therefore improve traditional measurement techniques that are spatially limited, such as spot sampling.
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页数:13
相关论文
共 44 条
  • [1] Satellite detection of harmful algal bloom occurrences in Korean waters
    Ahn, YH
    Shanmugam, P
    Ryu, JH
    Jeong, JC
    [J]. HARMFUL ALGAE, 2006, 5 (02) : 213 - 231
  • [2] [Anonymous], 2024, Image processing toolbox version: 11.7 (r2023a)
  • [3] [Anonymous], 2024, Spectrononpro version: 3.4.11
  • [4] [Anonymous], 2015, Clark Fork river Operable Unit (OU #3) Milltown Reservoir/Clark Fork river superfund site: explanation of significant differences
  • [5] [Anonymous], 2019, Base numeric nutrient standards implementation guidance version 3.0
  • [6] Remotely sensed-based analysis about climatic and landscape change effects on phytoplankton bloom in Barra Bonita Reservoir (Sao Paulo State, Brazil)
    Araujo, Bruno Munhoz
    Negri, Rogerio Galante
    Moraes Ananias, Pedro Henrique
    Bressane, Adriano
    Rodgher, Suzelei
    [J]. JOURNAL OF APPLIED REMOTE SENSING, 2023, 17 (01) : 14509
  • [7] Banish Nicholas J., 2017, Factors influencing cladophora biomass abundance in the Upper Clark Fork River, Montana
  • [8] Oceans in Peril: Grand Challenges in Applied Water Quality Research for the 21st Century
    Boehm, Alexandria B.
    Ismail, Niveen S.
    Sassoubre, Lauren M.
    Andruszkiewicz, Elizabeth A.
    [J]. ENVIRONMENTAL ENGINEERING SCIENCE, 2017, 34 (01) : 3 - 15
  • [9] Burkholder JM., 2009, Encyclopedia of Inland Waters, V1, P264
  • [10] Charles C., 2002, Patrick Center for Environmental Research Report (02-06)