Environmental Modeling Using Satellite Imaging and Dataset Re-processing (Hardcover, 1st ed. 2019)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Big Data, 54
Release date:	February 2019
First published:	2019
Authors:	Moses Eterigho Emetere
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	227
Edition:	1st ed. 2019
ISBN-13:	978-3-03-013404-4
Categories:	Books > Professional & Technical > Environmental engineering & technology > Environmental monitoring Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Applications of computing > Databases > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	3-03-013404-0
Barcode:	9783030134044

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