Atsiliepimai
Aprašymas
This book explores Digital Soil Mapping (DSM), highlighting its potential to improve soil property predictions and support soil monitoring initiatives. It presents approaches for creating accurate and comprehensive soil maps through the integration of numerical models, environmental datasets, and field and laboratory observations. The book examines knowledge-based approaches, statistical and geostatistical models, hybrid methods, machine learning algorithms, hyperspectral remote sensing, and pedotransfer functions. It also discusses high-resolution spatial data, advanced modelling techniques, sampling methods, and quality assessment procedures.
Key features include:
This book is intended for graduate students, researchers, and professionals in the fields of soil science, paedology, and remote sensing.
This book explores Digital Soil Mapping (DSM), highlighting its potential to improve soil property predictions and support soil monitoring initiatives. It presents approaches for creating accurate and comprehensive soil maps through the integration of numerical models, environmental datasets, and field and laboratory observations. The book examines knowledge-based approaches, statistical and geostatistical models, hybrid methods, machine learning algorithms, hyperspectral remote sensing, and pedotransfer functions. It also discusses high-resolution spatial data, advanced modelling techniques, sampling methods, and quality assessment procedures.
Key features include:
This book is intended for graduate students, researchers, and professionals in the fields of soil science, paedology, and remote sensing.
Atsiliepimai