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Environmental Modeling Using Satellite Imaging and Dataset Re-processing

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Environmental Modeling Using Satellite Imaging and Dataset Re-processing/ by Moses Eterigho Emetere.
作者:	Emetere, Moses Eterigho.
面頁冊數:	X, 227 p. 246 illus., 207 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Signal processing. -
電子資源:	https://doi.org/10.1007/978-3-030-13405-1
ISBN:	9783030134051

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

Environmental Modeling Using Satellite Imaging and Dataset Re-processing[electronic resource] /by Moses Eterigho Emetere. - 1st ed. 2019. - X, 227 p. 246 illus., 207 illus. in color.online resource. - Studies in Big Data,542197-6503 ;. - Studies in Big Data,8.

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

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.

ISBN: 9783030134051

Standard No.: 10.1007/978-3-030-13405-1doiSubjects--Topical Terms:

561459
Signal processing.

LC Class. No.: TK5102.9

Dewey Class. No.: 621.382

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