Environmental modeling using satellite imaging and dataset re-processing /
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,...
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Main Authors: | |
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Published: |
Springer,
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Publisher Address: | Cham, Switzerland : |
Publication Dates: | [2019] |
Literature type: | Book |
Language: | English |
Series: |
Studies in big data,
volume 54 |
Subjects: | |
Summary: |
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. |
Carrier Form: | x, 229 pages : illustrations (chiefly color) ; 24 cm. |
Bibliography: | Includes bibliographical references. |
ISBN: |
9783030134044 3030134040 9783030134068 3030134067 9783030134075 3030134075 |
Index Number: | GE45 |
CLC: | X-39 |
Call Number: | X-39/E538 |