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.