LIU Qinhuo, CAO Biao, ZENG Yelu, et al. Recent progresses on the remote sensing radiative transfer modeling over heterogeneous vegetation canopy[J]. Journal of Remote Sensing, 2016,20(5):933-945.
LIU Qinhuo, CAO Biao, ZENG Yelu, et al. Recent progresses on the remote sensing radiative transfer modeling over heterogeneous vegetation canopy[J]. Journal of Remote Sensing, 2016,20(5):933-945. DOI: 10.11834/jrs.20166280.
Radiative transfer models establish the quantitative relationship between remote sensing signals and physical parameters
including the object properties
the object structures and the observation geometries
on the understanding of the interactions of the electromagnetic wave and the objects. They serve as the theoretical basis for the interpretation of the remote sensing signals and the retrieval of surface parameters. Recently spatial heterogeneity has drawn widespread attention in the field of quantitative remote sensing. The increasing high resolution imagery and Li DAR data provide a strong support for the consideration of heterogeneity. For the radiative transfer modeling process over heterogeneous vegetation scenarios
the component area ratio
the 3D structure and the distribution pattern within the pixel
and the shadowing and scattering effects near the boundary
are important factors that should be considered. The recent progresses on the VIS/NIR BRDF and the TIR directional emission modeling over heterogeneous land surfaces are introduced
respectively. The key scientific issues and future development directions of heterogeneous vegetation canopy modeling are proposed at last.
关键词
空间异质性辐射传输建模混合像元3维结构
Keywords
spatial heterogeneityradiative transfer modelingmixed pixel3D structure