Applications Of Remote Sensing And Gis Based On An Innovative Vision
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Applications of Remote Sensing and GIS Based on an Innovative Vision
This book covers various aspects of remote sensing and geographic information systems, from the perspective of earth and environmental sciences. The theme of applications of remote sensing and geographic information systems for the purposes of sustainable development highlights the innovative usage of space imaged spectral data in soil characterization. This book merges the selected contributions to the First International Conference of Remote Sensing and Space Sciences Applications (Egypt 2022) aiming to promote the latest findings on the development of Space Technologies and Applications.
Modelling and Advanced Earth Observation Technologies for Coastal Zone Management
This volume provides readers with the tools to unlock the potential of Earth observation (EO) technologies to transform coastal zone management. This comprehensive guide delves into how EO technologies can be used monitor and manage coastal areas, emphasizing sustainable land use and development. Designed for researchers, decision-makers, and environmental planners, this book offers multi-scale assessment approaches that provide actionable solutions and strategic plans for managing extensive environmental landscapes. Readers will discover innovative management solutions for a variety of environmental challenges, along with new methodologies aimed at sustainable development and the achievement of the United Nations Sustainable Development Goals (SDGs) and 2030 targets. This volume showcases numerous multi-tasked applications of satellite data from diverse sources, validating the immense value of earth observations in environmental management. By integrating this data into geographical databases, the book provide an ideal framework for spatial planning at various scales. Geospatial information is a crucial tool for creating interactive systems for spatial analysis, merging real-world data with forecasting models to support social and economic development. Geospatial information guides where and when to act, aiding in the development of strategic and implementation plans that promote sustainable development. Embrace the future of coastal zone management with this volume and equip yourself with the knowledge and tools to make informed, impactful decisions for a sustainable tomorrow.
Challenges and Applications for Implementing Machine Learning in Computer Vision
Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing. There is a need for research that seeks to understand the development and efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a collection of innovative research that combines theory and practice on adopting the latest deep learning advancements for machines capable of visual processing. Highlighting a wide range of topics such as video segmentation, object recognition, and 3D modelling, this publication is ideally designed for computer scientists, medical professionals, computer engineers, information technology practitioners, industry experts, scholars, researchers, and students seeking current research on the utilization of evolving computer vision techniques.