Description
Remote Sensing of Biomass: Principles and Applications provides an authoritative overview of how satellite and airborne remote sensing technologies are used to estimate, map, and monitor biomass across various ecosystems. The book covers fundamental principles of remote sensing, including sensor types, data collection methods, and image processing techniques essential for biomass quantification.
Readers will discover practical applications ranging from forest inventory and carbon stock assessment to agricultural productivity monitoring and environmental impact evaluation. The text addresses challenges in data interpretation, calibration methods, and validation approaches necessary for accurate biomass estimation. Advanced topics include integration of multi-sensor data, machine learning applications, and climate change monitoring.
Ideal for researchers, environmental professionals, and GIS specialists, this hardbound reference combines theoretical frameworks with real-world case studies demonstrating how remote sensing technologies support sustainable resource management and climate mitigation efforts globally.
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