Health Challenges of Women Labourers Empowering the Rural Women Ways and Strategies, 2023
Multi-Sensor and Multi-Temporal Remote Sensing: Specifc Single Class Mapping Anil Kumar, Priyadarshi Upadhyay, Uttara Singh Multi Sensor and Multi Temporal Remote Sensing Specifc Single Class Mapping, 2023 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 stubble burnt paddy fields. Key features: Focuses on use of multi-sensor, multi-temporal data while handling spectral overlap between classes Discusses range of fuzzy/deep learning models capable to extract specific single class and separates noise Describes pre-processing while using spectral, textural, CBSI indices, and back scatter coefficient/Radar Vegetation Index (RVI) Discusses the role of training data to handle the heterogeneity within a class Supports multi-sensor and multi-temporal data processing through in-house SMIC software Includes case studies and practical applications for single class mapping This book is intended for graduate/postgraduate students, research scholars, and professionals working in environmental, geography, computer sciences, remote sensing, geoinformatics, forestry, agriculture, post-disaster, urban transition studies, and other related areas.
Preface Social Morphology Human Welfare and Sustainability, 2022
Smart Cities and Their Role in Enhancing Quality of Life Uday Chatterjee, Gouri Sankar Bhunia, Dinabandhu Mahata, Uttara Singh Quality of Life an Interdisciplinary Perspective, 2021 Due to exponential rise in population, inadequate employment opportunities in the rural sector and aspirations of a better quality of life, there is a large-scale migration of rural population to the cities. This not only puts tremendous pressure on the limited resources of these urban centres but also is a challenging conundrum for all the agencies involved in urban planning. This chaotic scenario is further worsened as this migratory population vies for jobs, houses, civic amenities etc. with the urban population. These urban centres by virtue of their infrastructure, and geographical location become drivers of growth for any nation; therefore, it becomes important that these are efficiently managed and their meagre space and resources are optimally utilized. Self-sustainable “Smart Cities” are therefore the necessity of the future, in which technologies like Information and Communication Technology (ICT), Internet of Things (IoT), and Artificial Intelligence (AI) will substantially reduce human intervention in daily functioning of these cities and will form the basic framework for near autonomous management of services like health care, transport, infrastructure planning, power supply, law and order, tourism, immovable assets management, disaster management and sustainability issues, viz waste recycling.
