Details for: Abdalla R. Remote Sensing Exploring. Methods and Applications 2025

Abdalla R. Remote Sensing Exploring. Methods and Applications 2025

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Textbook in PDF format This volume is a comprehensive guide that examines the transformative world of remote sensing technologies. This book is an essential resource for researchers, practitioners, and students aiming to explore the vast applications of remote sensing in addressing contemporary challenges. Structured into three distinct sections, the book begins with section 1, “Advanced Techniques in Remote Sensing”, which presents methodologies for landslide detection, asbestos-cement mapping, and wetland monitoring, highlighting the integration of computational optics and Google Earth Engine. Section 2, “Geospatial Frontiers: Challenges and Innovations”, addresses the complexities and opportunities within distributed geospatial information systems and the potential of geospatial data, emphasizing the need for adaptive strategies in an evolving landscape. In the final section, “Harnessing Remote Sensing for Agricultural Insights”, the readers will discover innovative crop yield prediction techniques and vegetation indices' impact on land surface temperature, showcasing the pivotal role of remote sensing in sustainable agriculture. High-Resolution Computational Optics on Remote Sensing Mapping Asbestos-Cement Roofing by Remote Sensing: An Overview of Methodologies and Technologies Processing and Analysis Techniques to Enhance the Change Surrounding the Ichkeul Marshes Wetland in North Tunisia Using Free Remote Sensing Data and Google Earth Engine Geospatial Data: Acquisition, Applications, and Challenges Distributed Geospatial Information Systems Challenges and Opportunities Exploring the Potential of Geospatial Data: An In-Depth Investigation Landslide Detection and Monitoring Using Remote Sensing Techniques Crop Yield Prediction and Spectral Growth Zones Vegetation Indices and Land Surface Temperature within Luswishi Farm Block, Zambia: 2000–2023

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1. Abdalla R. Remote Sensing Exploring. Methods and Applications 2025.pdf32.78 MiB