In the present work, the WorldView-2 (WV2) capability for retrieving Case 2 water components is analyzed. The WV2 sensor characteristics, such as a 11-bit quantization, 8 bands in the VNIR and high Signal-to-Noise Ratio (SNR) make WV2 potentially suitable for a retrieval process. In the Case 2 water problem, the sensor-reaching signal due to water is very small when compared to the signal due to the atmospheric effects. Therefore, adequate atmospheric compensation becomes an important first step to accurately retrieving water parameters. The problem becomes more difficult when using multispectral imagery as there are typically only a handful of bands suitable for performing atmospheric compensation. In this work, we develop atmospheric compensation techniques designed specifically for the WV2 satellite, enabling it to be used for water constituent retrieval in both deep and shallow water. A look-up-table (LUT) methodology is implemented to retrieve the water parameters Chlorophyll, Suspended Materials, Colored Dissolved Organic Matter, bathymetry, bottom type and water clarity for a simulated case study. The in-water radiative transfer code HydroLight is used to simulate reflectance data in this study while the MODTRAN code is used to simulate atmospheric effects. The resulting modeled sensor-reaching radiance can be sampled to a WV2 sensor model to simulate WV2 image data. This data is used to test the described methodology. Finally, a sensitivity analysis is performed to evaluate how sensitive the retrieval process is to adequate atmospheric compensation.
|Presenter:||Javier Concha (Rochester Institute of Technology) -- firstname.lastname@example.org
|Topic:||Technology - Panel|
|Time:||3:35 pm (Session IV)|
Writing @ The Graduate Level
6 pm - 7 pm