Remote Sensing of Soil and Land Surface Processes: Monitoring, Mapping, and Modeling

Remote Sensing of Soil and Land Surface Processes: Monitoring, Mapping, and Modeling combines artificial intelligence and remote sensing to enhance the accuracy of image analysis in soils and landscape studies. It covers topics such as digital soil mapping, satellite land surface imagery, land degradation assessment, and deep learning networks, with case studies and real-life examples.

Format: Paperback / softback
Length: 370 pages
Publication date: 01 November 2023
Publisher: Elsevier - Health Sciences Division

Remote Sensing of Soil and Land Surface Processes: Monitoring, Mapping, and Modeling harnesses the power of artificial intelligence and remote sensing to revolutionize the mapping and modeling of natural resources, thereby expanding the applications of AI and machine learning in soils and landscape studies. This comprehensive book delves into diverse topics such as digital soil mapping, satellite land surface imagery, assessment of land degradation, and the utilization of deep learning networks in understanding land surface processes and mitigating natural hazards. Through captivating case studies and real-life examples, it provides valuable insights into the latest techniques in remote sensing and geoinformation technologies, empowering postgraduates, researchers, and academics to monitor soil and surface processes with precision and accuracy.

Digital soil mapping is a crucial aspect of this field, utilizing advanced technologies to create detailed maps of soil properties and characteristics. Satellite land surface imagery plays a pivotal role in capturing comprehensive images of the Earth's surface, providing valuable insights into vegetation cover, land use, and environmental changes. Assessment of land degradation is another critical area, employing remote sensing techniques to monitor and evaluate the extent of soil erosion, deforestation, and other forms of land degradation. Deep learning networks, a powerful subset of machine learning, are utilized to analyze and interpret large datasets, enabling the identification of patterns and relationships in soil and land surface processes.

The book also explores the practical applications of remote sensing and geoinformation technologies in various fields, including agriculture, environmental management, and urban planning. Case studies and real-life examples are provided to illustrate the effectiveness of these techniques in monitoring soil health, identifying land degradation hotspots, and developing sustainable land management strategies. By presenting the latest techniques in remote sensing and geoinformation technologies, this book serves as a valuable resource for postgraduates, researchers, and academics seeking to advance their knowledge and expertise in soils and landscape studies. It equips them with the tools and knowledge necessary to monitor soil and surface processes, address environmental challenges, and contribute to the sustainable development of our planet.

Weight: 450g
Dimension: 229 x 152 (mm)
ISBN-13: 9780443153419