This book elaborates fuzzy machine and deep learning models for single class mapping from multi-sensor, multi-temporal remote sensing images while handling mixed pixels and noise. It also covers the ways of pre-processing and spectral dimensionality reduction of temporal data. Further, it discusses the ‘individual sample as mean’ training approach to handle heterogeneity within a class. The appendix section of the book includes case studies such as mapping crop type, forest species, and st...

This volume discusses a broad range of human welfare problems associated with and stemming from social issues, natural resource deficiencies, environmental hazards, vulnerability to climate change, and sustainability challenges. The chapters form a framework centered around the concept of social morphology, i.e. the role of humans in shaping society, and associated human-nature interactions which inform the ability to achieve sustainable welfare and well-being. The book is divided in six s...