Using Multispectral Sensor Wasp Lite To Analyze Harmful Algal Blooms

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Using Multispectral Sensor WASP-LITE to Analyze Harmful Algal Blooms

Author : Shari J. McNamara
Publisher :
ISBN 13 :
Total Pages : 280 pages
Book Rating : 4.:/5 (18 download)

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Book Synopsis Using Multispectral Sensor WASP-LITE to Analyze Harmful Algal Blooms by : Shari J. McNamara

Download or read book Using Multispectral Sensor WASP-LITE to Analyze Harmful Algal Blooms written by Shari J. McNamara and published by . This book was released on 2007 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Developing methods to monitor harmful algae is a current research 'hot-topic' One type of algae, the blue-green algae or Cyanobacteria, cause blooms that can lead to a health threat to humans and animals. This research will test the use of a cost effective and temporally efficient method using multispectral remote sensing system, WASPLITE, as a monitor of algal blooms. This airborne system will be optimized to the specific application of detecting Cyanobacteria on optically complex waters. Attempts have been made in the past using existing instruments, e.g., Sea WiFS and Landsat, to provide these data, but our solution can provide more information by using optimally selected bands with very high spectral resolution. To analyze these algal blooms, standard multispectral techniques (such as band ratio, spectral curvature and principal component analysis) were used on the airborne data. These results were compared with ground truth collected concurrently with the airborne over flight"--Abstract.

Monitoring of Harmful Algal Blooms

Author : Lasse H. Pettersson
Publisher : Springer Science & Business Media
ISBN 13 : 3540682090
Total Pages : 309 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Monitoring of Harmful Algal Blooms by : Lasse H. Pettersson

Download or read book Monitoring of Harmful Algal Blooms written by Lasse H. Pettersson and published by Springer Science & Business Media. This book was released on 2012-07-25 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Monitoring of Harmful Algae Blooms is a timely guide to the research techniques in use to monitor visible algae blooms and through remote sensing, including infrared techniques, predict them through mathematical modeling. Drawing on current and future satellite data, the book presents visible perspectives on a more efficient HAB monitoring system for the future. It also emphasizes practical applications, impacting on marine ecology, national economy, health, food and safety and quality assurance.

Keeping an Eye on Lake Erie

Author : Dulcinea M. Avouris
Publisher :
ISBN 13 :
Total Pages : 200 pages
Book Rating : 4.:/5 (18 download)

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Book Synopsis Keeping an Eye on Lake Erie by : Dulcinea M. Avouris

Download or read book Keeping an Eye on Lake Erie written by Dulcinea M. Avouris and published by . This book was released on 2018 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Remote sensing instruments are powerful tools for discriminating between color producing agents (CPAs) that comprise the complex optical signal of Lake Erie. The western basin of Lake Erie (WBLE) is affected by annually recurring cyanobacteria and harmful algal blooms (CyanoHABs), which impact water quality, industry and tourism. In addition to cyanobacteria and algae, sediment and colored dissolved organic material contribute to the optical reflectance signal of Lake Erie waters. CyanoHABs are driven by nutrient input from the Maumee River, and grow in size from spring to fall. Due to the potential of cyanobacteria to produce toxins detrimental to humans and wildlife, identification of the constituents in the CyanoHABs is vital. Both airborne and satellite-based remote sensing instruments provide detailed spectral and spatial information at different scales, and are effective tools for assessing CyanoHABs in Lake Erie.Four images acquired in July of the 2015 CyanoHAB by the Moderate Resolution Imaging Spectroradiometer (MODIS), onboard the NASA Aqua satellite, are analyzed using the Kent State Varimax-rotated principal component analysis (VPCA) spectral decomposition method. MODIS provides basin-wide imagery with a 1 km2 pixel resolution. Four primary signals were extracted, identifying the CyanoHAB signal, a clay sediment and chlorophyll degradation product signal, a hematite and chlorophyll a signal, and a cryptophya signal. The results of the VPCA spectral decomposition of the MODIS showed good agreement with both in situ measured chlorophyll a values in the WBLE, and with the VPCA spectral decomposition results of the reflectance spectra of field samples measured in the lab.The HyperSpectral Imager v2 (HSI2) is an airborne instrument operated by a research team at NASA Glenn, and flown during the 2016 CyanoHAB season. Four images collected on 21 June 2016 and three images collected on 13 September 2016 were analyzed. These two sets of images are of near shore waters in the WBLE, Sandusky Bay, and the Maumee River mouth, and allow comparison of early, pre-bloom, conditions with late bloom conditions. The HSI2 sensor images have a pixel resolution of ~3 m2. This spatial resolution, coupled with hyperspectral band resolution provides detailed results of the spatial distribution of CPAs. A component associated with illite and diatoms was identified, and primarily visible in the images from 21 June 2016, while a component associated with the CyanoHAB signal was primarily visible in the images from 13 September 2016.The 2015 MODIS imagery analysis highlighted a clay sediment and chl- degradation product signal located in the discharge plumes of WBLE tributaries, but was very small in the Maumee River discharge area. The chl-degradation product is associated with colored-dissolved organic matter (CDOM). Wetlands produce and export high amounts of CDOM. An analysis of watershed land use/land cover characteristics was conducted to assess the connections between area of wetlands and the area of CDOM identified by the VPCA spectral decomposition results. This preliminary investigation indicates that the location of the wetland in relation to the watershed outlet plays a role in CDOM presence in the WBLE.

Harmful Algal Blooms

Author : Sandra E. Shumway
Publisher : John Wiley & Sons
ISBN 13 : 1118994655
Total Pages : 696 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Harmful Algal Blooms by : Sandra E. Shumway

Download or read book Harmful Algal Blooms written by Sandra E. Shumway and published by John Wiley & Sons. This book was released on 2018-08-06 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt: Harmful Algal Blooms: A Compendium Desk Reference erläutert die Grundlagen der schädlichen Algenblüte (HAB) und bietet die notwendigen technischen Informationen, wenn es um unerwartete oder unbekannte schädliche Ereignisse in Zusammenhang mit Algen geht. Dieses Fachbuch behandelt die Gründe für die schädliche Algenblüte, erfolgreiche Management- und Monitoring-Programme, Kontroll-, Präventions- und Minderungsstrategien, die wirtschaftlichen Folgen, Gesundheitsrisiken sowie die Folgen für die Nahrungskette und Ökosysteme. Darüber hinaus bietet es ausführliche Informationen zu den häufigsten HAB-Arten. Harmful Algal Blooms: A Compendium Desk Reference ist ein unschätzbares Referenzwerk für Manager, Einsteiger in das Fachgebiet, Praktiker mit eingeschränkten Zugang zu wissenschaftlicher Literatur und alle, die schnell Zugriff auf Informationen benötigen, insbesondere vor dem Hintergrund neuartiger oder unerwarteter HAB-Ereignisse. Die drei Herausgeber gehören zu den weltweit führenden Forschern auf dem Fachgebiet. Führende Experten haben ebenfalls zu diesem Fachbuch beigetragen, das sich zu einem wichtigen Referenzwerk des Fachgebiets entwickeln wird, zumal das Thema immer mehr an Bedeutung gewinnt.

Quantification of Harmful Algal Blooms in Multiple Water Bodies of Mississippi Using In-situ, Analytical and Remote Sensing Techniques

Download Quantification of Harmful Algal Blooms in Multiple Water Bodies of Mississippi Using In-situ, Analytical and Remote Sensing Techniques PDF Online Free

Author : Saurav Silwal
Publisher :
ISBN 13 :
Total Pages : 101 pages
Book Rating : 4.:/5 (15 download)

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Book Synopsis Quantification of Harmful Algal Blooms in Multiple Water Bodies of Mississippi Using In-situ, Analytical and Remote Sensing Techniques by : Saurav Silwal

Download or read book Quantification of Harmful Algal Blooms in Multiple Water Bodies of Mississippi Using In-situ, Analytical and Remote Sensing Techniques written by Saurav Silwal and published by . This book was released on 2018 with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt: Globally, water bodies are increasingly affected by undesirable harmful algal blooms. This dissertation contributes to research methodology pertaining to quantification of the algal blooms in multiple water bodies of Mississippi using in situ, analytical, and remote sensing techniques. The main objectives of this study were to evaluate the potential of several techniques for phytoplankton enumeration and to develop remote sensing algorithms for several sensors and evaluate the performance of the sensors for quantifying phytoplankton in several water bodies. Analytical techniques such as “FlowCam”, an imaging flow cytometer; “HPLC”, high performance liquid chromatography with the chemical taxonomy program “ChemTax”; spectrofluorometric analyses; and “ELISA” assay were used to quantify a suite of parameters on algal blooms. Additionally, in-situ algal pigment biomass was measured using fluorescence probes. It was found that that each technique has unique potential. While some of the rapid and simpler techniques can be used instead of more involved techniques, sometimes use of several techniques together is beneficial for managing aquatic ecosystems and protecting human health. Algorithms were developed to quantify chlorophyll a using five remote sensing sensors including three currently operational satellite sensors and two popular sensors onboard the Unmanned Aerial Systems (UASs). Empirical band ratio algorithms were developed for each sensor and the best algorithms were chosen. Cluster analysis helped in differentiating the water types and linear regression was used to develop algorithms for each of the water types. The UAS sensor- Micasense was found to be most useful among the UAS sensors and the best overall with highest R2 value 0.75 with p

Quantification of Harmful Algal Blooms in Multiple Water Bodies of Mississippi Using In-situ, Analytical, and Remote Sensing Techniques

Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (15 download)

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Book Synopsis Quantification of Harmful Algal Blooms in Multiple Water Bodies of Mississippi Using In-situ, Analytical, and Remote Sensing Techniques by :

Download or read book Quantification of Harmful Algal Blooms in Multiple Water Bodies of Mississippi Using In-situ, Analytical, and Remote Sensing Techniques written by and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Globally, water bodies are increasingly affected by undesirable harmful algal blooms. This dissertation contributes to research methodology pertaining to quantification of the algal blooms in multiple water bodies of Mississippi using in situ, analytical, and remote sensing techniques. The main objectives of this study were to evaluate the potential of several techniques for phytoplankton enumeration and to develop remote sensing algorithms for several sensors and evaluate the performance of the sensors for quantifying phytoplankton in several water bodies. Analytical techniques such as FlowCam, an imaging flow cytometer; HPLC, high performance liquid chromatography with the chemical taxonomy program ChemTax; spectrofluorometric analyses; and ELISA assay were used to quantify a suite of parameters on algal blooms. Additionally, in-situ algal pigment biomass was measured using fluorescence probes. It was found that that each technique has unique potential. While some of the rapid and simpler techniques can be used instead of more involved techniques, sometimes use of several techniques together is beneficial for managing aquatic ecosystems and protecting human health. Algorithms were developed to quantify chlorophyll a using five remote sensing sensors including three currently operational satellite sensors and two popular sensors onboard the Unmanned Aerial Systems (UASs). Empirical band ratio algorithms were developed for each sensor and the best algorithms were chosen. Cluster analysis helped in differentiating the water types and linear regression was used to develop algorithms for each of the water types. The UAS sensor- Micasense was found to be most useful among the UAS sensors and the best overall with highest R2 value 0.75 with p0.05 and minimum %RMSE of 28.22% and satellite sensor OLCI was found to be most efficient among the three satellite sensors used in the study for chlorophyll a estimation with Rsup2

Hyperspectral Remote Sensing Study of Harmful Algal Blooms in the Chesapeake Bay

Author : Yixiang Nie
Publisher :
ISBN 13 :
Total Pages : 206 pages
Book Rating : 4.:/5 (269 download)

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Book Synopsis Hyperspectral Remote Sensing Study of Harmful Algal Blooms in the Chesapeake Bay by : Yixiang Nie

Download or read book Hyperspectral Remote Sensing Study of Harmful Algal Blooms in the Chesapeake Bay written by Yixiang Nie and published by . This book was released on 2008 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Monitoring Algal Blooms

Author : Mati Kahru
Publisher :
ISBN 13 :
Total Pages : 200 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis Monitoring Algal Blooms by : Mati Kahru

Download or read book Monitoring Algal Blooms written by Mati Kahru and published by . This book was released on 1997 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: The incidence of harmful algal blooms appears to be increasing in European and Asian waters, and along the Atlantic coast. The data available for this observation, however, is patchy, and data for earlier periods is completely non-existent. The traditional technique to identify and monitor phytoplankton includes microscopic examination of water samples collected aboard research vessels. The information provided by this methodology is often limited in temporal and spatial scope because of the limitations of shipboard sampling and the enormous amounts of time and effort which are involved in analyzing the samples. New techniques are required to furnish appropriate information in order to identify and monitor algal blooms. This book explores these new technologies in depth.

Remote Sensing of Harmful Algal Blooms in the Mississippi Sound and Mobile Bay

Author : Dan Martin Holiday
Publisher :
ISBN 13 :
Total Pages : 144 pages
Book Rating : 4.:/5 (654 download)

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Book Synopsis Remote Sensing of Harmful Algal Blooms in the Mississippi Sound and Mobile Bay by : Dan Martin Holiday

Download or read book Remote Sensing of Harmful Algal Blooms in the Mississippi Sound and Mobile Bay written by Dan Martin Holiday and published by . This book was released on 2009 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Airborne Hyperspectral Sensing of Harmful Algal Blooms in the Great Lakes Region

Author : John D. Lekki
Publisher :
ISBN 13 :
Total Pages : 70 pages
Book Rating : 4.:/5 (989 download)

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Book Synopsis Airborne Hyperspectral Sensing of Harmful Algal Blooms in the Great Lakes Region by : John D. Lekki

Download or read book Airborne Hyperspectral Sensing of Harmful Algal Blooms in the Great Lakes Region written by John D. Lekki and published by . This book was released on 2017 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Harmful Algal Blooms of the West Florida Shelf and Campeche Bank

Author : Inia Mariel Soto Ramos
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (858 download)

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Book Synopsis Harmful Algal Blooms of the West Florida Shelf and Campeche Bank by : Inia Mariel Soto Ramos

Download or read book Harmful Algal Blooms of the West Florida Shelf and Campeche Bank written by Inia Mariel Soto Ramos and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Harmful Algal Blooms (HABs) in the Gulf of Mexico (GOM) are natural phenomena that can have negative impacts on marine ecosystems on which human health and the economy of some Gulf States depends. Many of the HABs in the GOM are dominated by the toxic dinoflagellate Karenia brevis. Non-toxic phytoplankton taxa such as Scrippsiella sp. also form intense blooms off the Mexican coast that result in massive fish mortality and economic losses, particularly as they may lead to anoxia. The main objectives of this dissertation were to (1) evaluate and improve the techniques developed for detection of Karenia spp. blooms on the West Florida Shelf (WFS) using satellite remote sensing methods, (2) test the use of these methods for waters in the GOM, and (3) use the output of these techniques to better understand the dynamics and evolution of Karenia spp. blooms in the WFS and off Mexico. The first chapter of this dissertation examines the performance of several Karenia HABs detection techniques using Moderate Resolution Imaging Spectroradiometer (MODIS) satellite images and historical ground truth observations collected on the WFS from August 2002 to December 2011. A total of 2323 in situ samples collected by the Florida Fish and Wildlife Research Institute to test for Karenia spp. matched pixels with valid ocean color satellite observations over this period. This dataset was used to systematically optimize variables and coefficients used in five published HAB detection methods. Each technique was tested using a set of metrics that included the F-Measure (FM). Before optimization, the average FM for all techniques was 0.47. After optimization, the average FM increased to 0.59, and false positives decreased ~50%. The addition of a Fluorescence Line Height (FLH) criterion improved the performance of every method. A new practical method was developed using a combination of FLH and Remote Sensing Reflectance at 555 nm (Rrs555-FLH).

A Remote Sensing and Machine Learning-based Approach to Forecast the Onset of Harmful Algal Bloom

Author : Moein Izadi
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)

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Book Synopsis A Remote Sensing and Machine Learning-based Approach to Forecast the Onset of Harmful Algal Bloom by : Moein Izadi

Download or read book A Remote Sensing and Machine Learning-based Approach to Forecast the Onset of Harmful Algal Bloom written by Moein Izadi and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last few decades, harmful algal blooms (HABs, also known as “red tides”) have become one of the most detrimental natural phenomena all around the world especially in Florida’s coastal areas due to local environmental factors and global warming in a larger scale. Karenia brevis produces toxins that have harmful effects on humans, fisheries, and ecosystems. In this study, I developed and compared the efficiency of state-of-the-art machine learning models (e.g., XGBoost, Random Forest, and Support Vector Machine) in predicting the occurrence of HABs. In the proposed models, the K. brevis abundance is used as the target, and 10 level-02 ocean color products extracted from daily archival MODIS satellite data such as Euphotic Depth (m)and Secchi disk depth, Chlorophyll-a (mg/m3), Diffuse attenuation coefficient (Kd_490;m−1), Sea surface temperature (C°) , Fluorescence line-height, ... are used as controlling factors. The adopted approach addresses two main shortcomings of earlier models: (1) the paucity of satellite data due to cloudy scenes and (2) the lag time between the period at which a variable reaches its highest correlation with the target and the time the bloom occurs. Eleven spatio-temporal models were generated, each from three consecutive day satellite datasets, with a forecasting span from one to 11 days. The 3-day models addressed the potential variations in lag time for some of the temporal variables. One or more of the generated 11 models could be used to predict HAB occurrences depending on availability of the cloud-free consecutive days. Findings indicate that XGBoost outperformed the other methods, and the forecasting models of 5–9 days achieved the best results. The most reliable model can forecast eight days ahead of time with balanced overall accuracy, Kappa coefficient, F-Score, and AUC of 96%, 0.93, 0.97, and 0.98 respectively. The euphotic depth, sea surface temperature, and chlorophyll-a are always among the most significant controlling factors. The proposed models could potentially be used to develop an “early warning system” for HABs in southwest Florida.

Development of Monitoring and Treatment Technologies to Combat Harmful Algae Blooms

Author : Shardula Gawankar
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.3/5 (795 download)

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Book Synopsis Development of Monitoring and Treatment Technologies to Combat Harmful Algae Blooms by : Shardula Gawankar

Download or read book Development of Monitoring and Treatment Technologies to Combat Harmful Algae Blooms written by Shardula Gawankar and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lake Erie has been affected by harmful algal blooms for decades. In 2014, this resulted in the plant having to shut down its intake after toxic cyanotoxins were found in source water. Such occurrences are becoming more common across the globe. U.S. EPA has established regulations for microcystin, the most common form of cyanotoxin. Climate change is predicted to increase the occurrence of other types of cyanotoxins, such as saxitoxins, which are not regulated by the U.S. EPA. Hence, the removal and monitoring of cyanotoxins, produced by harmful algae blooms, in water is of utmost importance to protect public health.The efficacy of oxidation varies greatly for each of the cyanotoxins due to their different chemical structures. There is presently no oxidation process that a water treatment plant can implement that is proven to simultaneously remove all the cyanotoxins (microcystin, saxitoxin, cylindrospermopsin, and anatoxin) from drinking water. Thus, water treatment plants that are currently designed to remove microcystins are not protected against all forms of cyanotoxins. The investigation of the removal of these cyanotoxins using innovative treatment technologies requires a detection method that is sensitive and capable of detecting all the variants of cyanotoxins. The detection of saxitoxin is particularly challenging as compared to other cyanotoxins due to its low molecular mass and highly polar nature. Hydrophilic interaction liquid chromatography coupled with mass spectrometry (HILIC-MS) has the ability to provide specific detection through mass differentiation, which makes it an ideal tool for the quantitative analysis of saxitoxin and its variants. Hence, a method was developed to extract and detect saxitoxin from water using HILIC-MS in conjunction with weak cation exchange solid phase extraction (SPE), to provide a sensitive and reliable quantification of saxitoxins. However, the application of LC/MS for the detection of cyanotoxins in treatment studies is not cost effective as the cost of instrumentation is high, its operation requires high skill, and cyanotoxin standards have limited access and are expensive. Hence, a screening technique has been developed which uses methylene blue to identify the reaction kinetics of persulfate and peroxide oxidation in the presence of ferrous chloride and to optimize parameters, which can be helpful in predicting the degradation of cyanotoxins under similar conditions. Catalyst activated persulfate and peroxide oxidation produce sulfate and hydroxyl radicals, which can degrade a wide range of recalcitrant chemicals and hence are preferred in water and wastewater treatment. The screening technique was validated by investigating the degradation of microcystin-LR. The notable advantages of developing this screening technique are: (i) reduced cost of analysis as methylene blue can be detected in real time by measuring its absorbance, and (ii) can perform multiple trials in short time due to ease of analysis. This screening technique was also applied to iron oxide coated ceramic membranes in combination with persulfate oxidation to understand the degradation kinetics.

An Evaluation of the Utility of Remote Sensing for Monitoring Cyanobacteria in Lake Champlain (VT-NY-PQ)

Author : Sarah M. Wheeler
Publisher :
ISBN 13 :
Total Pages : 162 pages
Book Rating : 4.:/5 (768 download)

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Book Synopsis An Evaluation of the Utility of Remote Sensing for Monitoring Cyanobacteria in Lake Champlain (VT-NY-PQ) by : Sarah M. Wheeler

Download or read book An Evaluation of the Utility of Remote Sensing for Monitoring Cyanobacteria in Lake Champlain (VT-NY-PQ) written by Sarah M. Wheeler and published by . This book was released on 2006 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Dissertation Abstracts International

Author :
Publisher :
ISBN 13 :
Total Pages : 840 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Dissertation Abstracts International by :

Download or read book Dissertation Abstracts International written by and published by . This book was released on 2009 with total page 840 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Harmful Algal Blooms

Author : Vladimir Buteyko
Publisher :
ISBN 13 : 9781612099019
Total Pages : 243 pages
Book Rating : 4.0/5 (99 download)

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Book Synopsis Harmful Algal Blooms by : Vladimir Buteyko

Download or read book Harmful Algal Blooms written by Vladimir Buteyko and published by . This book was released on 2010 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Integration of Fuzzy Fault Trees and Artificial Neural Networks to Enhance Satellite Imagery from Detection and Assessment of Harmful Algal Blooms

Download The Integration of Fuzzy Fault Trees and Artificial Neural Networks to Enhance Satellite Imagery from Detection and Assessment of Harmful Algal Blooms PDF Online Free

Author : Arie Hadipriono Tan
Publisher :
ISBN 13 :
Total Pages : 251 pages
Book Rating : 4.:/5 (116 download)

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Book Synopsis The Integration of Fuzzy Fault Trees and Artificial Neural Networks to Enhance Satellite Imagery from Detection and Assessment of Harmful Algal Blooms by : Arie Hadipriono Tan

Download or read book The Integration of Fuzzy Fault Trees and Artificial Neural Networks to Enhance Satellite Imagery from Detection and Assessment of Harmful Algal Blooms written by Arie Hadipriono Tan and published by . This book was released on 2019 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: The study of harmful algal blooms is a well-established field with several conventional approaches such as processing samples, field observations, and examining weather and environmental effects that could change how the algae develop. However, with the frequency and severity of these blooms increasing worldwide, it has become progressively tougher to properly and efficiently assess their development and spread with the limited resources available. Therefore, assessment of the severity of algal blooms through remote sensing is helpful, especially since data from satellite imagery is already widely available for public use. Subjective judgments of existing data could yield additional human expertise that could be used in conjunction with the existing biology of bloom development to provide a more efficient framework to base future studies from. What is introduced in this dissertation is the development of a deductive technique based on a combination of fuzzy fault tree analysis and artificial neural network image recognition, utilizing readily available data from already well-established remote sensing equipment. The main advantage of this is that it could provide results that are just as accurate and yet could accept far more flexible inputs not as dependent on strict boundaries regarding lake conditions to compensate for limitations in gathering a priori knowledge. At the same time, the process is highly customizable and user-oriented, so that an assessor utilizing the interface need not necessarily have a comprehensive understanding of the underlying logic to interpret the results accordingly. Testing the interface and procedure on actual data arising from in situ sampling and satellite imagery through the fuzzy fault tree and convolutional neural network proved to give rise to accurate and logically consistent results, with the assessment of conditions arising from the fault tree consistent with the initial factors; the neural network also achieved a high degree of accuracy, able to deduce the state of a satellite image based on specific factors with an 80 – 100% validation rate. To this end, this process is a new way of approaching the problem of assessing harmful algal blooms, a foundation upon which newer techniques that could supplement and validate more conventional approaches could be based upon.