Article
Environmental Sciences
S. Liu, W. Glamore, B. Tamburic, A. Morrow, F. Johnson
Summary: The study explores the applicability of using multiple satellites data for detecting harmful algal blooms in small to medium waterbodies. It finds that the available satellite bands are crucial for determining detection algorithms, recommending the integration of regular sampling activities and remote sensing for monitoring and managing these waterbodies.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Biodiversity Conservation
C. E. Binding, L. Pizzolato, C. Zeng
Summary: Early detection and comprehensive monitoring of inland water algal blooms are crucial for effective management and mitigation of potential impacts. Satellite Earth Observation technology has greatly enhanced algal bloom monitoring capabilities. Studies on three Canadian lakes have shown widespread blooms with varying intensity and duration, emphasizing the importance of utilizing multiple bloom indices for accurate assessment.
ECOLOGICAL INDICATORS
(2021)
Article
Marine & Freshwater Biology
Chintan B. Maniyar, Abhishek Kumar, Deepak R. Mishra
Summary: This study focused on analyzing Cyanobacterial Harmful Algal Blooms (CyanoHABs) in India using a novel tool called CyanoKhoj, showcasing its utility for rapid monitoring and discussion of the widespread CyanoHABs issues in the country. The study revealed that CyanoHABs are most prevalent in nutrient-rich waterbodies and show a clear seasonal evolution pattern. The development of CyanoKhoj as an open-source tool could have a significant impact on mapping CyanoHABs not only in India but on a global scale using Sentinel3A/B OLCI data.
Review
Environmental Sciences
Rabia Munsaf Khan, Bahram Salehi, Masoud Mahdianpari, Fariba Mohammadimanesh, Giorgos Mountrakis, Lindi J. Quackenbush
Summary: This study analyzed a large number of journal articles to explore spatiotemporal trends in harmful algal bloom (HAB) monitoring, identified research gaps and future directions, and suggested the need for standardized reporting methods and potential technological advancements and data fusion for HAB detection and monitoring.
Article
Environmental Sciences
Stephanie Stoll, Jae-Hoon Hwang, David W. Fox, Keugtae Kim, Lei Zhai, Woo Hyoung Lee
Summary: In this study, a novel anti-MC-LR/MC-LR/cysteamine-coated screen-printed carbon electrode biosensor was developed for rapid detection of microcystins in water. The biosensor showed excellent performance, with a linear working range and low limit of detection. It also demonstrated minimal interference from other common microcystins and coexisting ions in water. The biosensor offers an innovative and easy-to-use solution for in situ and low-cost detection, making it essential for smart environmental management systems.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Environmental Sciences
Gibeom Nam, Hyunjoo Shin, Rim Ha, Hyunoh Song, Jaehyun Yoo, Hyuk Lee, Sanghyun Park, Taegu Kang, Kyunghyun Kim
Summary: This study introduces a new PC algorithm that estimates phycocyanin concentration in eutrophic freshwater bodies based on the reflectance characteristics of red and near-red spectral regions. The algorithm outperforms existing methods, especially in reducing errors when PC concentrations are low.
Article
Geosciences, Multidisciplinary
Kelly Luis, Philipp Koehler, Christian Frankenberg, Michelle Gierach
Summary: This study explores the use of TROPOMI's red SIF for detecting Karenia brevis, comparing it with the standard remote sensing HAB indicator MODIS-Aqua. The results show that red SIF provides more spatiotemporal fluorescence information than nFLH and can be used for detection under cloudy conditions, which improves early warning systems for harmful algal blooms.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Multidisciplinary Sciences
Matthew Neal Waters, Mark Brenner, Jason Hilleary Curtis, Claudia Suseth Romero-Oliva, Margaret Dix, Manuel Cano
Summary: Research has found that harmful cyanobacteria blooms and cyanotoxin production occurred during periods of ancient Maya occupation, suggesting that human activities may have negatively impacted water quality in the past.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Environmental Sciences
Pankaj Bhatt, Bernard A. Engel, Mikael Reuhs, Halis Simsek
Summary: This study compiles information on the use of cyanophage therapy techniques for the removal of toxic cyanobacterial blooms, aiming to improve water quality. It examines cyanobacterial toxin production and its environmental impacts, the mechanisms involved in cyanophage-cyanobacteria interactions, and the application of cyanophages in removing toxic cyanobacterial blooms.
Article
Green & Sustainable Science & Technology
Xiangfeng Bu, Kai Liu, Jingyu Liu, Yunhong Ding
Summary: This study proposes a model for harmful algal bloom detection by integrating MODIS multifactor data with heterogeneous meteorological data. By fusing remote sensing data, meteorological data, and geographical information, a regression dataset is established, and machine learning models are employed to establish correlations between the data and harmful algal bloom cell concentrations. The results show that the extreme gradient boosting model demonstrates the best predictive capability for harmful algal blooms.
Article
Engineering, Environmental
Do Hyuck Kwon, Seok Min Hong, Ather Abbas, JongCheol Pyo, Hyung-Kun Lee, Sang-Soo Baek, Kyung Hwa Cho
Summary: Harmful algal blooms (HABs) release toxic substances, causing water quality degradation and health problems. Accurate analysis and prediction of HABs are crucial. This study evaluates the use of deep learning and the internet of things (IoT) system to simulate chlorophyll-a (Chl-a) and phycocyanin (PC). The attention LSTM model achieves superior performance, demonstrating potential for eutrophication management in freshwater reservoirs.
ENVIRONMENTAL ENGINEERING RESEARCH
(2023)
Article
Marine & Freshwater Biology
Hai Xu, Boqiang Qin, Hans W. Paerl, Kai Peng, Qingji Zhang, Guangwei Zhu, Yunlin Zhang
Summary: Harmful cyanobacterial blooms are expanding in China's inland waters, with varying environmental factors controlling their dynamics. Shallow water bodies in China are highly susceptible to human activity and changing climatic conditions compared to deeper lakes. Rapid urbanization and industrialization, combined with climate change, have accelerated the onset and proliferation of cyanobacterial blooms in these regions.
Article
Environmental Sciences
Khalid Ali, Tamiru Abiye, Elhadi Adam
Summary: The Hartbeespoort Dam, located in an area characterized by urbanization, mining, industrial, and agricultural activities, serves as a discharge point for heavily polluted wastewater from various sources. This has resulted in the development of harmful algal blooms (HABs) that pose risks to fish and public health. The presence of high concentrations of phosphorus and changes in surface water temperatures have been found to influence the productivity levels in the dam, particularly when phosphorus levels are below a certain threshold. Satellite data analysis has provided insights into the spatial and temporal dynamics of HABs in the dam, showing the impact of river discharges and water circulation on their distribution.
Article
Environmental Sciences
Emily J. Pindilli, Keith Loftin
Summary: Cyanobacterial blooms, also known as cyanobacterial harmful algal blooms (cyanoHABs), are becoming a growing concern in freshwater lakes and reservoirs in the United States. These blooms can produce cyanotoxins that can harm human health, wildlife, and impact various sectors such as fisheries and agriculture. This study uses a Bayesian decision tree analysis to estimate the potential value of an early warning system for cyanoHABs. The results suggest that such a system can provide significant benefits, with an estimated annual value ranging from $565 thousand to $2.3 million for the state of Kansas alone.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Engineering, Aerospace
Sandip Banerjee, Palanisamy Shanmugam
Summary: A novel method for reconstructing hyperspectral resolution images from high spatial-resolution Sentinel 2 Multispectral Instrument (MSI) data was developed, using a deep neural network with multiple blocks of deconvolution and dense layers. The method successfully reconstructed and validated hyperspectral radiances, showing potential for enhancing space-borne sensor capabilities for various research purposes and societal applications.
ADVANCES IN SPACE RESEARCH
(2021)
Article
Biodiversity Conservation
Megan M. Coffer, Blake A. Schaeffer, Wilson B. Salls, Erin Urquhart, Keith A. Loftin, Richard P. Stumpf, P. Jeremy Werdell, John A. Darling
Summary: Satellite imagery was utilized to assess the annual frequency of surface cyanobacterial blooms in large lakes across the continental United States, revealing variations in bloom frequencies among different states and lakes. The results can help identify areas within lakes more prone to cyanobacterial blooms, as well as prioritize sampling resources and mitigation efforts.
ECOLOGICAL INDICATORS
(2021)
Article
Environmental Sciences
Jianyong Wu, Elizabeth D. Hilborn, Blake A. Schaeffer, Erin Urquhart, Megan M. Coffer, Cynthia J. Lin, Andrey Egorov
Summary: This study found a significant positive association between satellite-derived cyanobacteria concentrations in the source water of the Greater Boston area and respiratory illnesses occurring 2 days later. No significant associations were found between cyanobacterial concentrations and gastrointestinal or dermal illnesses. Future studies should consider direct measures of cyanotoxins and associated health effects from exposure to cyanobacteria-impacted drinking water sources.
ENVIRONMENTAL HEALTH
(2021)
Review
Environmental Sciences
Ghada Y. H. El Serafy, Blake A. Schaeffer, Merrie-Beth Neely, Anna Spinosa, Daniel Odermatt, Kathleen C. Weathers, Theo Baracchini, Damien Bouffard, Laurence Carvalho, Robyn N. Conmy, Liesbeth De Keukelaere, Peter D. Hunter, Cedric Jamet, Klaus D. Joehnk, John M. Johnston, Anders Knudby, Camille Minaudo, Nima Pahlevan, Ils Reusen, Kevin C. Rose, John Schalles, Maria Tzortziou
Summary: Water quality measures can be obtained from professional and volunteer monitoring programs as well as automated sensors, with the integration of these data resulting in a more holistic understanding of dynamic ecosystems and improved water resource management. Combining data from various sources to answer scientific questions is common, but methods for scaling and integrating data globally have only recently emerged.
Article
Environmental Sciences
Blake Schaeffer, Wilson Salls, Megan Coffer, Carole Lebreton, Mortimer Werther, Kerstin Stelzer, Erin Urquhart, Daniela Gurlin
Summary: Water quality monitoring is crucial for protecting the beneficial uses of water and making sustainable decisions. This study compares the performance of different chlorophyll-a retrieval algorithms and proposes a merged algorithm for improved water quality assessment.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2022)
Article
Environmental Sciences
Bridget N. Seegers, P. Jeremy Werdell, Ryan A. Vandermeulen, Wilson Salls, Richard P. Stumpf, Blake A. Schaeffer, Tommy J. Owens, Sean W. Bailey, Joel P. Scott, Keith A. Loftin
Summary: This study highlights the importance of lakes and other surface fresh waterbodies for humans, aquatic life, and ecosystem health, and examines the use of satellite remote sensing data for monitoring inland water quality. The researchers developed a new chlorophyll algorithm using satellite remote sensing data, and evaluated its ability to assess lake trophic state across the CONUS.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Environmental Sciences
Marie Cindy Lebrasse, Blake A. Schaeffer, Megan M. Coffer, Peter J. Whitman, Richard C. Zimmerman, Victoria J. Hill, Kazi A. Islam, Jiang Li, Christopher L. Osburn
Summary: This study utilized a deep learning algorithm to quantify seagrass extent, leaf area index, and belowground organic carbon in St. Joseph Bay over a 30-year period. The results showed stable seagrass and carbon levels from 1990 to 2020, but highlighted ongoing environmental and climate pressures.
ESTUARIES AND COASTS
(2022)
Article
Marine & Freshwater Biology
Peter Whitman, Blake Schaeffer, Wilson Salls, Megan Coffer, Sachidananda Mishra, Bridget Seegers, Keith Loftin, Richard Stumpf, P. Jeremy Werdell
Summary: This study evaluates the performance of a satellite algorithm in detecting cyanobacteria harmful algal blooms (cyanoHABs) by using state reported events and advisories. The results show that the satellite algorithm can complement traditional field observations and support management decisions.
Article
Remote Sensing
Megan M. Coffer, Peter J. Whitman, Blake A. Schaeffer, Victoria Hill, Richard C. Zimmerman, Wilson B. Salls, Marie C. Lebrasse, David D. Graybill
Summary: This study investigates the impact of vertical artefacts on satellite data interpretation and suggests improving image acquisition parameters to mitigate these artefacts for future tasks over aquatic targets.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2022)
Article
Environmental Sciences
Amber R. Ignatius, S. Thomas Purucker, Blake A. Schaeffer, Kurt Wolfe, Erin Urquhart, Deron Smith
Summary: Reservoirs are dominant features of the hydrologic landscape, but their unique morphology can lead to excessive algae growth and harmful cyanobacteria blooms. Understanding the spatial dynamics of cyanobacteria blooms is crucial for reservoir monitoring and mitigating public exposure to cyanotoxins. Advanced spatial analysis using satellite data allows for the assessment of bloom frequency and differences between headwater and near-dam surface waters.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Biodiversity Conservation
Blake A. Schaeffer, Erin Urquhart, Megan Coffer, Wilson Salls, Richard P. Stumpf, Keith A. Loftin, P. Jeremy Werdell
Summary: Previous studies have shown an increase in the frequency, extent, and magnitude of cyanobacterial harmful algal blooms (cyanoHABs) globally. This study used satellite data to quantify the spatial extent of cyanoHABs in over 2,000 lakes and reservoirs in the United States. The results provide important information on the current extent of cyanoHABs and rates of change.
ECOLOGICAL INDICATORS
(2022)
Article
Environmental Sciences
Marie Cindy Lebrasse, Blake A. Schaeffer, Richard C. Zimmerman, Victoria J. Hill, Megan M. Coffer, Peter J. Whitman, Wilson B. Salls, David D. Graybill, Christopher L. Osburn
Summary: Seagrass meadows are globally degraded and declining due to human pressures and climate change. This study used the bio-optical model GrassLight to explore the impact of climate change and anthropogenic stressors on seagrass extent and characteristics in St. Joseph Bay, Florida. The research highlights the importance of considering multiple limiting factors in understanding the effects of environmental change on seagrass ecosystems.
MARINE ENVIRONMENTAL RESEARCH
(2022)
Article
Environmental Sciences
Robyn N. Conmy, Alexander Hall, Devi Sundaravadivelu, Blake A. Schaeffer, Andrew R. Murray
Summary: Tracking the subsea oil plume during the Deepwater Horizon Oil Spill was conducted using both in situ fluorescence and discrete sample chemical analyses. Discrete samples provided a coarse picture of the oil plume footprint, while in situ fluorescence data improved the resolution. Through analysis of millions of continuous data points, fluorescence was found to serve as a proxy for BTEX concentration.
MARINE POLLUTION BULLETIN
(2022)
Article
Social Issues
Savannah Cooley, Amber Jenkins, Blake Schaeffer, Kat J. Bormann, Adel Abdallah, Forrest Melton, Stephanie Granger, Indrani Graczyk
Summary: Collaboration between researchers and decision makers is crucial for improving natural resource management. Knowledge and technology transfer can help address challenges faced by water managers. However, barriers hinder this transfer, which can be overcome with frameworks like the Research-Integration-Utilization model.
TECHNOLOGY IN SOCIETY
(2022)
Article
Ecology
Jiarui Zhang, Daniel J. Phaneuf, Blake A. Schaeffer
Summary: This study examines the economic costs of cyanobacterial harmful algal blooms (cyanoHABs) on residential property values. The findings show that cyanoHABs have a negative impact on home values, but the extent of the impact varies across different regions.
ECOLOGICAL ECONOMICS
(2022)
Article
Engineering, Civil
Natalie Reynolds, Blake A. Schaeffer, Lucie Guertault, Natalie G. Nelson
Summary: Satellite remote sensing can identify areas with frequent cyanobacterial harmful algal blooms (cyanoHABs) related to reservoir discharge, providing data support for reservoir release decision-making that cannot be captured by traditional in situ monitoring.
JOURNAL OF HYDROLOGY
(2023)
Article
Biodiversity Conservation
Yongcui Lan, Jinliang Wang, Qianwei Liu, Fang Liu, Lanfang Liu, Jie Li, Mengjia Luo
Summary: This study focuses on the five major plateau lake basins in central Yunnan, China, and constructs an ecological security pattern using the source-resistance surface-corridor-pinch point framework. The study simulates land use/cover change in the region and identifies early warning regions where future urban expansion poses a threat to current ecological source areas and corridors.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Pingping Huang, Feng Zhao, Bailing Zhou, Kuidong Xu
Summary: This study investigates the distribution of benthic microeukaryotes in the China Seas and finds that they can stride over the ecological barrier of 32 degrees N. The study also highlights the significant influence of depth, temperature, and latitude on communities in the China Seas.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Federico Morelli, Yanina Benedetti, Jesse Stanford, Leszek Jerzak, Piotr Tryjanowski, Paolo Perna, Riccardo Santolini
Summary: Species distribution models (SDMs) are numerical tools used for predicting species' spatial distribution. This study found that ecological characteristics, such as habitat specialization, play a role in improving the accuracy of SDMs.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Xiaoxuan Wu, Hang Liu, Wei Liu
Summary: Global climate change, urbanization, and economic development have increased the need for sustainable human development, urban ecological governance, and low-carbon energy transformation. This study analyzes the green ecological transition in Chengdu based on panel data from 2010 to 2020, exploring its spatiotemporal evolution and key factors. The results show an overall upward trend in Chengdu's green ecological development and positive spatial autocorrelation in certain districts.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Castaldi Simona, Formicola Nicola, Mastrocicco Micol, Morales Rodriguez Carmen, Morelli Raffaella, Prodorutti Daniele, Vannini Andrea, Zanzotti Roberto
Summary: Sustainable agricultural practices are increasingly important for global and national environmental policies and economy. This study compared the sustainability of grape production under integrated and organic management using multiple indicators. The results showed that organic management was more beneficial for most environmental aspects of the agroecosystem compared to integrated management, without affecting grape yield.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Gaia Vaglio Laurin, Alexander Cotrina-Sanchez, Luca Belelli-Marchesini, Enrico Tomelleri, Giovanna Battipaglia, Claudia Cocozza, Francesco Niccoli, Jerzy Piotr Kabala, Damiano Gianelle, Loris Vescovo, Luca Da Ros, Riccardo Valentini
Summary: Phenology monitoring is important for understanding forest functioning and climate impacts. This research compares the phenological behavior of European beech forests using Tree-Talker (TT+) and Sentinel 2 satellite data. The study finds differences in the information derived by the two sensor types, particularly in terms of season length, phenology changepoints, and leaf period variability. TT+ with its higher temporal resolution demonstrates precision in capturing the phenological changepoints, especially when satellite image availability is limited.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Huanhuan Pan, Ziqiang Du, Zhitao Wu, Hong Zhang, Keming Ma
Summary: The land use and cover changes resulting from coal mining activities and ecological restoration have had a significant impact on ecosystem services in mining areas. This study investigates the relationship between ecosystem services and land use intensity in coal mining areas, emphasizing the importance of understanding this interdependence for balanced human-land system development. The research examines the evolving relationship across different reclamation stages in Shanxi, China, using a coupling coordination degree model. The findings suggest the need for timely and judicious reclamation of coalfields, considering the land's bearing capacity.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Jingjuan He, Yijun Shi, Lihua Xu, Zhangwei Lu, Mao Feng
Summary: This study examines the spatial interplay between changes in the blue-green spatial distribution and modifications in land surface temperature grades in Shanghai. The findings reveal that the transformation of the blue-green spatial pattern differs between different sectors of the city, and the impact on the thermal environment varies spatially.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Yi Xu, Di Zhang, Junqiang Lin, Qidong Peng, Xiaohui Lei, Tiantian Jin, Jia Wang, Ruifang Yuan
Summary: This study analyzed the response relationship between phytoplankton growth and water environmental parameters in the Middle Route of the South-to-North Water Diversion Project in China using long-term monitoring data and machine learning models. The results revealed the differences between monitoring sites and identified the key parameters that affect phytoplankton growth.
ECOLOGICAL INDICATORS
(2024)