Remote Sensing of Soils: Mapping, Monitoring, and Measurement

ISBN-13: 9780443187735 / Angielski / Miękka / 2023

Dharumarajan S; Kaliraj Seenipandi; Kabindra Adhikari

Opis

Remote Sensing of Soils: Mapping, Monitoring and Measurement covers the basic, theoretical and scientific concepts of multidisciplinary subjects, including sections that relate to soil sciences, remote sensing, geoinformatics, geomatics, civil and water resource engineering, geography, agriculture, disaster management and the earth and environmental sciences. The book consists of defined elements to help guide the reader, including an abstract, introductions, a literature review, methodology, results and discussions, findings, recommendations and conclusions. Each chapter includes theoretical information that is illustrated with flow charts, tables, figures, diagrams and other related illustrations. Site-specific research and case studies are described throughout with geographical and demographical data, current scientific issues, impacts, solutions and societal benefits, thus providing readers from multi-disciplinary backgrounds the tools they need to successful map, analyze and monitor soils.

Spis treści

Section 1: Remote sensing of soils1. Soil - interface of earth, environment and atmosphere2. Soil formation and spatial distributions3. Soil compositions and physio-chemical properties4. Remote sensing of soils and parental materials5. Optical Remote Sensing: Platforms, Sensors and Products in soil studies6. Microwave and hyperspectral Remote sensing: Platforms, Sensors & Products7. Spectral characteristics of soils 8. GIS modelling and Digital Image processing for soil measurement 9. Remote sensing - open source data products and applications10. Recent developments of remote sensing in soil researchSection 2: Remote sensing & GIS for Soil resource mapping1. Remote sensing and GIS for soil and terrain mapping 2. Soil mapping using remote sensing indices, terrain attributes & LULC 3. Soil moisture estimation and monitoring 4. Soil fertility mapping, monitoring and assessment 5. Soil salinity assessment and mapping 6. Problematic soils mapping and assessment 7. Soil management zone mapping 8. Soil mapping for hydrological assessment and monitoring 9. Soil Loss Assessment10. Soil conservation and management Section 3: Digital soil mapping and soil inference system 1. Digital soil mapping - concepts, methods, and applications 2. Geostatistics and Multivariate Statistical Analysis for soil mapping 3. Machine Learning techniques in soil mapping, and model comparisons 4. Deep Learning and Artificial Intelligence in soil resources monitoring and mapping5. Smart soil sampling, covariate selection and Uncertainty assessment in soil mapping 6. Soil Organic Carbon- assessment, monitoring, and mapping 7. Soil Carbon Sequestration Potential estimation and mapping 8. Integrating process-based models and digital soil mapping for modeling soil carbon and soil nutrient dynamics9. GIS based soil information system and database development10. Digital library and Decision support system11. Variable Rate Application in Precision agriculture 12. Soil functional mapping and precision conservation of landscapes 13. Digital Soil Mapping: Moving Towards Dynamic Soil Survey Section 4: Remote sensing of soils: Recent implications and future prospects 1. Soil moisture estimation: Multispectral, Hyperspectral, Passive and Active Remote sensing approaches 2. Soil Physical and Chemical Properties - spatiotemporal monitoring & Assessment 3. Soil Properties measurement using VIS-NIR Imaging Spectroscopy Data 4. Soil Properties measurement using MIR Spectroscopy5. Spectral library and Decision support system 6. Soil Total Carbon Stock estimation measurement and monitoring 7. Soil Salinity Modeling8. Soil health monitoring9. Soil Sensors and applications 10. AVRIS hyperspectral data applications 11. Unmanned Aerial Vehicle (UAV) based Remote Sensing 12. Future of remote sensing application in soil resources monitoring Section 5: Remote sensing & GIS for Soil analysis - vulnerability mapping and assessment1. Soil erosion vulnerability mapping and assessment2. Land degradation and Desertification - modelling and vulnerability analysis3. Natural hazards zonation and mapping4. Big data analysis and Data Mining Techniques in soil degradation assessment5. Machine learning in land degradation assessment6. Heavy metals hazard assessment and monitoring7. Remote sensing of energy fluxes, potential evapotranspiration and land surface temperature8. Soil sediments and contaminations9. Climate change impacts and dynamics of soil properties10. Object and Rule-based decision support systems for soil hazards management