Haroon Sajjad – författare

Remote Sensing of Ocean and Coastal Environments advances the scientific understanding and application of technologies to address a variety of areas relating to sustainable development, including environmental systems analysis, environmental management, clean processes, green chemistry and green engineering. Through each contributed chapter, the book covers ocean remote sensing, ocean color monitoring, modeling biomass and the carbon of oceanic ecosystems, sea surface temperature (SST) and sea surface salinity, ocean monitoring for oil spills and pollutions, coastal erosion and accretion measurement.

This book is aimed at those with a common interest in oceanography techniques, sustainable development and other diverse backgrounds within earth and ocean science fields. This book is ideal for academicians, scientists, environmentalists, meteorologists, environmental consultants and computing experts working in the areas of earth and ocean sciences.

This book covers several themes related to forestry, agriculture, water, soil, urban, and atmospheric research. GIScience technology systems have increased in significance in recent decades and have the ability to acquire information at ground level with a higher spectral resolution using a field radio-spectrometer, which is a great improvement compared to other remote sensing systems. GIScience technology systems are widely used for solving and understanding the concept of forestry, crop, water resources, and related research themes. This book aims to advance the scientific understanding of GIScience technology and applications. The chapters present GIScience data integration with other sources such as LiDAR, Multi-spectral data and their applications in forestry, crop assessment, soil assessment, mineral mapping and related themes. The book will be of interest to geospatial experts, modellers, foresters, agricultural scientists, hyperspectral remote sensing and space community, ecologists and conservation communities, environmental consultants, big data compilers, and computing experts. 

This book focuses on landslide hazard mapping, identification of site-specific drivers of landslide occurrence, and assessment of landslide susceptibility, vulnerability, risk and mitigation using advanced techniques and approaches. The book encompasses the use of geospatial technologies, artificial intelligence, machine learning algorithms, and advanced statistical models to explore multi-dimensionality of landslide hazard. The book is a synthesis of research papers presented at the National Conference on Landslide Risk Assessment and Mitigation in India, organized by the Department of Geography, Jamia Millia Islamia, New Delhi, India, 01–02 November 2022. The book is organized into four parts made up of 21 chapters. Part I deals with landslide hazard mapping. Part II covers landslide susceptibility mapping and assessment. Part III evaluates landslide risk. Finally, Part IV presents multi-disciplinary approach and holistic mechanism to devise landslide mitigation strategies. The chapters help better understand the intertwined physical processes, causes of landslides, potential risk factors, movement characteristics, and role of engineering and technology to minimize upcoming human, physical and economic losses. The book is a valuable resource for researchers, academicians, stakeholders, and policy makers.