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Environmental Modeling Using Satellite Imaging and Dataset Re-processing de Moses Eterigho Emetere

Environmental Modeling Using Satellite Imaging and Dataset Re-processing: Studies in Big Data, cartea 54

Autor Moses Eterigho Emetere
en Limba Engleză Paperback – 14 aug 2020
This book introduces methods of re-processing images to extract numerical information that can be used to quantify the observables in environmental modelling. Experiments or procedures that yield large images can be statistically or parametrically examined. Through the use of open source libraries, the book shows how ‘big data’ in the form of images or datasets can be comparatively analysed along same defined procedures or standards. 
This book helps to solve the challenges of discarding datasets that are relevant directly or indirectly to the research. The habit of screening datasets leads to the discard of over 90% of the original dataset or images generated in the experiments or procedure. If the images or datasets are generated under the same principles or conditions, then each measurement may be the narrative of unique events. The focus of this book is to enlighten researchers on how to analyse measurements with the aim of ensuring 100% utilization.
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Specificații

ISBN-13: 9783030134075
ISBN-10: 3030134075
Pagini: 227
Ilustrații: X, 227 p. 246 illus., 207 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.34 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Big Data

Locul publicării:Cham, Switzerland

Cuprins

​Introduction to Computational Techniques.- An Overview of Theoretical Dynamics.- Image Re-Processing of Satellite.- Big Data and Further Analysis.- Conclusion.

Notă biografică

M.E. Emetere had his doctorate degrees in Solid State Physics (PhD) and Atmospheric Physics (PhD). He is faculty at Covenant University, Nigeria and a postdoctoral fellow at University of Johannesburg. He won the prestigious AU/TWAS Young Scientist National Award (Earth and Life Sciences) in 2015. 

Textul de pe ultima copertă

This book introduces methods of re-processing images to extract numerical information that can be used to quantify the observables in environmental modelling. Experiments or procedures that yield large images can be statistically or parametrically examined. Through the use of open source libraries, the book shows how ‘big data’ in the form of images or datasets can be comparatively analysed along same defined procedures or standards. 
This book helps to solve the challenges of discarding datasets that are relevant directly or indirectly to the research. The habit of screening datasets leads to the discard of over 90% of the original dataset or images generated in the experiments or procedure. If the images or datasets are generated under the same principles or conditions, then each measurement may be the narrative of unique events. The focus of this book is to enlighten researchers on how to analyse measurements with the aim of ensuring 100% utilization.

Caracteristici

I?ntroduces methods of re-processing images to extract numerical information Helps to solve the challenges of discarding datasets that are relevant directly or indirectly to the research Enlightens researchers on how to analyse measurements with the aim of ensuring 100% utilization