Retrieval Of Water Quality Constituents In Inland Waters From Multispectral And Hyperspectral Imagery
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| Author | : Xu Min |
| Publisher | : |
| Total Pages | : |
| Release | : 2020 |
| Genre | : Electronic dissertations |
| ISBN | : |
Remote sensing provides an efficient and effective tool to monitor inland water quality. Various empirical algorithms have been developed to retrieve water quality constituents in inland waters from remotely sensed imagery. The common practice of previous studies has been to calibrate a single empirical model for the entire study area. However, the performance of a single empirical model is often limited for optically complex inland waters. Additionally, traditional empirical models are not spatially or temporally extensible, which impose strict and expensive demand for in situ water truth data during the overpasses of space-borne or airborne sensors. To overcome the limitations of traditional empirical models, my dissertation research focuses on the development of novel remote sensing algorithms for deriving water quality parameters in inland waters from multispectral and hyperspectral imagery. First, I present a geographically adaptive algorithm that addresses the adverse effect of spatial heterogeneity and are able to produce much better water quality parameter estimates than conventional global models. Second, I develop a multi-predictor ensemble model that exploits the comparative advantages of a set of diverse empirical models based on spectral space partitions. The multi-predictor ensemble model has significantly enhanced the water quality prediction accuracy and particularly possessed the desired model extensibility in space and time. Given its strong spatial extensibility, I finally apply the multi-predictor ensemble model to rivers in a large basin for regional water quality analysis. The spatial and temporal extensibility of the multi-predictor ensemble model greatly decreases the operational cost and difficulty, hence facilitating regional scale and long-term water quality monitoring and assessment with remote sensing data.
| Author | : Deepak R. Mishra |
| Publisher | : Elsevier |
| Total Pages | : 334 |
| Release | : 2017-04-28 |
| Genre | : Science |
| ISBN | : 0128046546 |
Bio-optical Modeling and Remote Sensing of Inland Waters presents the latest developments, state-of-the-art, and future perspectives of bio-optical modeling for each optically active component of inland waters, providing a broad range of applications of water quality monitoring using remote sensing. Rather than discussing optical radiometry theories, the authors explore the applications of these theories to inland aquatic environments. The book not only covers applications, but also discusses new possibilities, making the bio-optical theories operational, a concept that is of great interest to both government and private sector organizations. In addition, it addresses not only the physical theory that makes bio-optical modeling possible, but also the implementation and applications of bio-optical modeling in inland waters. Early chapters introduce the concepts of bio-optical modeling and the classification of bio-optical models and satellite capabilities both in existence and in development. Later chapters target specific optically active components (OACs) for inland waters and present the current status and future direction of bio-optical modeling for the OACs. Concluding sections provide an overview of a governance strategy for global monitoring of inland waters based on earth observation and bio-optical modeling. - Presents comprehensive chapters that each target a different optically active component of inland waters - Contains contributions from respected and active professionals in the field - Presents applications of bio-optical modeling theories that are applicable to researchers, professionals, and government agencies
| Author | : Nils Gunnar Jerlov |
| Publisher | : |
| Total Pages | : 518 |
| Release | : 1974 |
| Genre | : Science |
| ISBN | : |
| Author | : Elizabeth M. Middleton |
| Publisher | : |
| Total Pages | : 194 |
| Release | : 1983 |
| Genre | : Water |
| ISBN | : |
| Author | : Yunlin Zhang |
| Publisher | : MDPI |
| Total Pages | : 437 |
| Release | : 2018-07-05 |
| Genre | : Science |
| ISBN | : 3038425087 |
This book is a printed edition of the Special Issue "Water Optics and Water Colour Remote Sensing" that was published in Remote Sensing
| Author | : Robert G. Wetzel |
| Publisher | : Academic Press |
| Total Pages | : 1023 |
| Release | : 2001-05-10 |
| Genre | : Science |
| ISBN | : 0080574394 |
Limnology is the study of the structural and functional interrelationships of organisms of inland waters as they are affected by their dynamic physical, chemical, and biotic environments. Limnology: Lake and River Ecosystems, Third Edition, is a new edition of this established classic text. The coverage remains rigorous and uncompromising and has been thoroughly reviewed and updated with evolving recent research results and theoretical understanding. In addition, the author has expanded coverage of lakes to reservoir and river ecosystems in comparative functional analyses.
| Author | : Steven Greb |
| Publisher | : |
| Total Pages | : |
| Release | : 2018 |
| Genre | : |
| ISBN | : 9781896246673 |
| Author | : Khalid Adem Ali |
| Publisher | : |
| Total Pages | : 264 |
| Release | : 2011 |
| Genre | : Erie, Lake |
| ISBN | : |
Remote sensing has become very promising in providing temporal and spatial information regarding biogeodynamics in large and open freshwater bodies. For this work, Lake Erie was selected as the site for study because it is a compact region within which there are a wide variety of optical properties. In this study, spectral analytical techniques such as wavelets, Artificial Neural Networks (ANN) and multivariate techniques are applied to a full range of hyperspectral and multispectral data to better detect, differentiate among and estimate the concentrations of CPAs in optically complex environments. These methods produced more robust algorithms that can retrieve the concentrations of the various in-water constituents. Principal Component Analysis (PCA) of the first-derivative transformed hyperspectral data indicated that phytoplankton and inorganic sediments characterize up to 88% of the optical variability observed in the WBLE. PCA-based chlorophyll a and Total Suspended Matter (TSM) models yielded R2 values of 0.70 and 0.75, respectively. The associated percentage RMSE values are 11.5% and 32% for chlorophyll a and TSM, respectively. Wavelet-based spectral decomposition of first-derivative transformed hyperspectral data showed that most of the CPAs in the WBLE are characterized as having medium to high-frequency signals. The wavelet-based spectral models gave R2 values as high as 0.86 with RMSE = 9.7% for chlorophyll a prediction and R2 values of 0.88 with 15% percent RMSE for TSM. A new regional ANN algorithm is developed using Full-Resolution MERIS satellite observation for retrieval of selected CPAs. The ANN-based satellite model was able to explain 76% and 82% of the chlorophyll a and TSM variability, respectively, in the WBLE. The RMSE values for these models were 0.58 [micro]g/l and 2.59 mg/l for chlorophyll a and TSM, respectively. The percentage RMSE in this case is approximately 8.4% and 30.1% for chlorophyll a and TSM, respectively. Calibration-validation procedures indicated that the spectral analytical techniques that employ the full range of spectral data are more stable than existing bio-optical algorithms. The results from this study and the conceptual approach may be extended to a variety of optically complex environments such as coastal areas and other large inland water bodies.
| Author | : Dmitry Pozdnyakov |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 204 |
| Release | : 2003-01-31 |
| Genre | : Nature |
| ISBN | : 9783540002000 |
The inorganic and organic water constituents, often called color-producing agents (CPAs), responsible for water color are generally referred to as water quality parameters. Utilization of water color for assessment of water quality parameters can be achieved by using the established techniques in aquatic optics attained over many decades. Aquatic optics can be subdivided according to whether the natural water body is salty (marine), inland or fresh (limnological), or coastal (often brackish). The authors describe the transformation of water color under varying natural and anthropogenically-driven conditions and, for the first time in a quantitative manner, a closed circle of issues related to remote sensing of water quality in optically complex waters generally inherent to inland and marine coastal waters. Primarily, the text synthesizes the solutions of problems in remote sensing, incorporating mathematics, hydrobiology/hydochemistry, atmospheric optics and ecology.
| Author | : Michael Seibert |
| Publisher | : Royal Society of Chemistry |
| Total Pages | : 516 |
| Release | : 2018-03-19 |
| Genre | : Science |
| ISBN | : 1788014235 |
Hydrogen could be the fuel of the future. Some microorganisms can produce hydrogen upon illumination. Biological methods of production could be greener than chemical or physical production methods, but the potential of biological methods is still being harnessed. This comprehensive book highlights the key steps necessary for future exploitation of solar-light-driven hydrogen production by microalgae. The highly regarded editors bring together 46 contributors from key institutions in order to suggest and examine the most significant issues that must be resolved to achieve the goal of practical implementation, while proposing reliable methodologies and approaches to solve such issues. This 19 chapter book will be an indispensable resource for academics, undergraduate and graduate students, postgraduates and postdoctoral scholars, energy scientists, bio/chemical engineers, and policy makers working across the field of biohydrogen and bioenergy.
