Haydee Karszenbaum
Institute of Astronomy and Space Physics (IAFE)
Argentina
Title: Efforts in remote sensing products development for earth observing satellite missions
Biography
Biography: Haydee Karszenbaum
Abstract
Statement of the Problem: Earth observing satellite missions carry sensors that measure physical variables in different spectral ranges from visible to microwaves. Nevertheless, the main interest of these missions are not the physical variables itself such as reflectance in the visible, Land Surface Temperature in the infrared and or microwave brightness temperature and backscattering coefficient in the passive and active microwave regions respectively. The interest are the biogeophysical variables that are referred in the main objectives of the missions such as ocean color, soil moisture, sea surface salinity, sea surface temperatures and others. The generation of derived products from satellite physical variables includes several lines of expertise which can be combine in simulation systems that can address the different subjects in a related rigorous procedure. This aim of this presentation is to show the efforts done toward the development of products of satellite missions already developed or under development in Argentina. Methodology & Theoretical Orientation: the methodology is based on the development of Observing System Simulation Experiments (OSSEs), they consist of a conceptual framework for the development of satellite missions and derived products. This includes different modules related to sensor design, products forward and inverse models and error estimations. This presentation will focus in the development of the interaction and retrieval models needed to go from physical variables such us microwave brightness temperatures to soil moisture products. Different approaches will be analyzed and their performance compared. Conclusion & Significance: Although there is a good understanding of how electromagnetic radiation interacts with different targets, when a specific product is being derived, the difficulties arise in the different issues related to retrieval models, such as the parameters needed, constrains and validation. The success of an earth observing satellite mission is strongly related to the performance of derived products. This subject is carefully addressed in this presentation.