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 special 20th anniversary anthology invites you to journey outside yourself: float in a capsized rowboat, downward-dog through a yoga studio adapting to covid-19, reflect on the legacy of residential schools, find purpose on the Camino de Santiago, and make peace with your raccoon neighbours. These are stories of ego, loss, birth, renewal—the salient issues of our time.In emerge 20, stories in fiction, narrative non-fiction, speculative fiction, young adult fiction, poetry, and...

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...