Yes, you will likely need to adjust parameters to image differences between bodies of water. But once you have your target settings, all analyses will need to use the same parameters in order to have viable results.
It is possible to distinguish different types of water bodies using hyperspectral data, including coastal waters, inland waters, ponds, and inland aquaculture. Hyperspectral imaging measures the reflectance of water bodies across a wide range of wavelengths, which can be used to identify different water properties and characteristics.
Different water bodies have unique spectral signatures, which can be analyzed to identify their specific land use classifications. For example, coastal waters typically have high reflectance in the blue and green parts of the spectrum due to the presence of phytoplankton and other water constituents. Inland waters may have different spectral characteristics depending on their location, depth, and surrounding vegetation.
Ponds and inland aquaculture can also be distinguished using hyperspectral data by analyzing the reflectance patterns of water and surrounding vegetation. For example, ponds may have different spectral signatures depending on their size, depth, and the type of vegetation present around them. Inland aquaculture, on the other hand, may have unique spectral signatures based on the type of fish species and feed used, as well as water quality and management practices.
However, accurate classification of water bodies using hyperspectral data requires careful data processing and analysis, as well as accurate ground truthing data for calibration and validation. Additionally, it is important to consider the specific environmental and management factors that may affect the spectral characteristics of different water bodies, in order to accurately classify them.