Bistatic Scattering Modeling for Dynamic Mapping of Tropical Wetlands with Cygnss

• Published in: IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium pp. 239 - 242
• Main Authors: Lavalle, Marco, Morris, Mary, Shah, Rashmi, Zuffada, Cinzia, Nghiem, Son V., Chew, Clara, Zavorotny, Valery U.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2018
• Subjects: Geologic measurements; PSNR; Scattering; Soil; Vegetation; Vegetation mapping; Wetlands
• ISSN: 2153-7003
• DOI: 10.1109/IGARSS.2018.8519285

The objective of this paper is to model and study the sensitivity of bistatic microwave scattering versus changes in wetland characteristics as observed by a GNSS-R satellite system such as CYGNSS. We develop a simplified scattering model starting from the Water Cloud Model traditionally used in monostatic radar problems. Vegetation is idealized as a cloud of randomly oriented scattering elements over a rough surface representing either soil or water. The bistatic scattering coefficient is modeled as the incoherent sum of soil, water and vegetation scattering weighted by the fraction of each contribution within the CYGNSS footprint. The model is tested against CYGNSS observations across the Everglades National Park for which high-resolution land-cover and water depth maps are available. We show that our simplified model is able to capture to first order the variability of bistatic scattering versus changes in water depth and water fraction. This effort is a step forward towards the development of an effective algorithm to map the dynamic state of tropical wetlands and other regions subject to flooding using CYGNSS measurements.