Book

Description

Agriculture is entering a new era in which satellite observations, unmanned aerial vehicles (UAVs), and geospatial technologies provide valuable information for understanding crop development, soil moisture conditions, and spatial variability within agricultural fields. These technologies offer opportunities to improve agricultural monitoring and support more informed farm management decisions. Satellite and Drone Remote Sensing for Precision Agriculture explores the application of remote sensing technologies to agricultural monitoring, drawing on research conducted in the Netherlands. The book examines how satellite imagery, drone observations, and field measurements can be used to investigate crop conditions and variations in soil moisture. Through practical applications of Sentinel-2 imagery, vegetation and moisture indices such as NDVI, NDMI, and NDWI, and geospatial analysis using QGIS and R, the study demonstrates approaches for analysing agricultural landscapes and interpreting spatial and temporal patterns. The book also discusses methodological challenges, data limitations, and the importance of combining remote sensing observations with field measurements to support reliable interpretation. Written for agricultural engineers, researchers, students, consultants, and precision agriculture practitioners, this book provides a research-based introduction to the use of satellite and drone technologies for crop monitoring, soil assessment, and agricultural decision-making.