Intro; Preface; Contents; 1 Introduction to Environmental Modelling; 1.1 General Outline of Environmental Models; 1.2 Dimensions of Environmental Models; 1.3 Aerosol Models; 1.3.1 Advection-Dispersion Models; 1.3.2 Aerosol Optical Depth: Satellite Retrieval Model; References; 2 Introduction to Computational Techniques; 2.1 General Outline of Computational Techniques; 2.2 Open Source Scientific Packages; 2.3 Open-Source Library; References; 3 An Overview of Theoretical Dynamics of Air Pollution; 3.1 Limitation to Outdoor Air Pollution Model; 3.2 Dynamics of Large-Scale Air Pollution
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SUMMARY OR ABSTRACT
Text of Note
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.
ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
Springer Nature
Stock Number
com.springer.onix.9783030134051
OTHER EDITION IN ANOTHER MEDIUM
Title
Environmental modeling using satellite imaging and dataset re-processing.