Retrieving Photometric Properties and Soil Moisture Content of Tidal Flats Using Bidirectional Spectral Reflectance

Moisture content in tidal flats changes frequently and spatially on account of fluctuations, which greatly influence the reflectance flat surface. Precise prediction spatial-temporal variation flats’ moisture is an important foundation surface bio-geophysical information research by remote sensing. In this paper, we first measured multi-angle soil samples obtained from northeastern Dongtai, Jiangsu Province, China, laboratory. Then, based particle swarm optimization (PSO) algorithm, retrieved photometric characteristics employing SOILSPECT bidirectional model. Finally, was introducing equivalent water thickness soil. The results showed that: (i) A significant correlation existed between content. model capable estimating with high precision using reflectance. (ii) Retrieved values single scattering albedo (ω) were consistent roughness parameter (h) asymmetry factor (Θ) structure composition dry samples. (iii) When soaked water, type both irregular changes. These support importance size as one parameters for retrieval content, a method that should be used cautiously, especially flats.