Hyperspectral Reflectance Characteristics of Cyanobacteria  被引量:1

Hyperspectral Reflectance Characteristics of Cyanobacteria

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作  者:Terrence Slonecker Brittany Bufford Jennifer Graham Kurt Carpenter Dan Opstal Nancy Simon Natalie Hall Terrence Slonecker;Brittany Bufford;Jennifer Graham;Kurt Carpenter;Dan Opstal;Nancy Simon;Natalie Hall(US Geological Survey, Reston, VA, USA)

机构地区:[1]US Geological Survey, Reston, VA, USA

出  处:《Advances in Remote Sensing》2021年第3期66-77,共12页遥感技术进展(英文)

摘  要:Potentially harmful cyanobacterial blooms are an emerging environmental concern in freshwater bodies worldwide. Cyanobacterial blooms are generally caused by high nutrient inputs and warm, still waters and have been appearing with increasing frequency in water bodies used for drinking water supply and recreation, a problem which will likely worsen with a warming climate. Cyanobacterial blooms are composed of genera with known biological pigments and can be distinguished and analyzed via hyperspectral image collection technology such as remote sensing by satellites, airplanes, and drones. Here, we utilize hyperspectral microscopy and imaging spectroscopy to charac</span><u><span style="font-family:Verdana;">t</span></u><span style="font-family:Verdana;">erize and differentiate several important bloom-forming cyanobacteria genera obtained in the field during active research programs conducted by US Geological Survey and from commercial sources. Many of the cyanobacteria genera showed differences in their spectra that may be used to identify and predict their occurrence, including peaks and valleys in spectral reflectance. </span><span><span style="font-family:Verdana;">Because certain cyanobacteria, such as </span><i><span style="font-family:Verdana;">Cylindrospermum</span></i><span style="font-family:Verdana;"> or </span><i><span style="font-family:Verdana;">Dolichospe</span></i></span><i><span style="font-family:Verdana;">rmum</span></i><span style="font-family:Verdana;">, are more prone to produce cyanotoxins than others, the ability to different</span><span style="font-family:Verdana;">iate these species may help target high priority waterbodies for sampl</span><span style="font-family:Verdana;">ing. These spectra may also be used to prioritize restoration and research efforts </span><span style="font-family:Verdana;">to control cyanobacterial harmful algal blooms (CyanoHABs) and improv</span><span style="font-family:Verdana;">e water quality for aquatic life and humans alike.Potentially harmful cyanobacterial blooms are an emerging environmental concern in freshwater bodies worldwide. Cyanobacterial blooms are generally caused by high nutrient inputs and warm, still waters and have been appearing with increasing frequency in water bodies used for drinking water supply and recreation, a problem which will likely worsen with a warming climate. Cyanobacterial blooms are composed of genera with known biological pigments and can be distinguished and analyzed via hyperspectral image collection technology such as remote sensing by satellites, airplanes, and drones. Here, we utilize hyperspectral microscopy and imaging spectroscopy to charac</span><u><span style="font-family:Verdana;">t</span></u><span style="font-family:Verdana;">erize and differentiate several important bloom-forming cyanobacteria genera obtained in the field during active research programs conducted by US Geological Survey and from commercial sources. Many of the cyanobacteria genera showed differences in their spectra that may be used to identify and predict their occurrence, including peaks and valleys in spectral reflectance. </span><span><span style="font-family:Verdana;">Because certain cyanobacteria, such as </span><i><span style="font-family:Verdana;">Cylindrospermum</span></i><span style="font-family:Verdana;"> or </span><i><span style="font-family:Verdana;">Dolichospe</span></i></span><i><span style="font-family:Verdana;">rmum</span></i><span style="font-family:Verdana;">, are more prone to produce cyanotoxins than others, the ability to different</span><span style="font-family:Verdana;">iate these species may help target high priority waterbodies for sampl</span><span style="font-family:Verdana;">ing. These spectra may also be used to prioritize restoration and research efforts </span><span style="font-family:Verdana;">to control cyanobacterial harmful algal blooms (CyanoHABs) and improv</span><span style="font-family:Verdana;">e water quality for aquatic life and humans alike.

关 键 词:Cyanobacterial Harmful Algal Blooms (CyanoHABs) CYANOBACTERIA Hyperspectral Remote Sensing Hyperspectral Microscopy Imaging Spectroscopy 

分 类 号:O17[理学—数学]

 

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