Abstract
Successful retrieval of surface properties from space is hampered by the presence of atmospheric aerosol particles that contribute significantly to the measured signal. Our ability to obtain reliable information about surface properties depends to a large extent on how well we can account for the influence of aerosols. The problem is complicated by the fact that the aerosols often consist of a multi-component mixture of particles with different chemical compositions and different affinities to water. For example, in order to predict how the optical properties of such particles change with increasing humidity, we need to make assumptions about how the particles grow, change their refractive indices, and mix as a function of humidity. The purpose of this paper is to discuss possible strategies for reliable atmospheric correction over dark as well as bright surfaces. The role of realistic simulations of the radiative transfer process in the coupled atmosphere-surface system in order to solve the inverse problem required to retrieve surface properties will also be discussed.
Original language | English |
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Pages (from-to) | 1-12 |
Number of pages | 12 |
Journal | Proceedings of SPIE - The International Society for Optical Engineering |
Volume | 5153 |
State | Published - 2003 |
Event | Ecosystems Dynamics, Agricultural Remote Sensing and Modeling, and Site - Specific Agriculture - San Diego, CA, United States Duration: 7 Aug 2003 → 7 Aug 2003 |
Keywords
- Atmospheric correction
- Remote sensing