Analytical-physical modeling in remote sensing is a foundational approach that relies on the principles of physics to simulate the interaction of electromagnetic radiation with the Earth's surface and atmosphere. It serves as a critical tool for accurately interpreting remote sensing data and developing correction algorithms.
Principles
The core principles of analytical-physical modeling include:
Radiative Transfer: Modeling the propagation of electromagnetic waves through the atmosphere and interaction with surfaces. Learn more.
Bidirectional Reflectance Distribution Function (BRDF): Describing how light is scattered by surfaces.
Atmospheric Correction: Removing atmospheric effects to retrieve surface reflectance.
Energy Balance Equations: Modeling the exchange of energy between the land surface and atmosphere.
Key Techniques
Analytical-physical modeling employs various techniques and frameworks, including:
