Canopy BRF simulation of forest with different crown shape and height in larger scale based on radiosity method

Jinling Song; Yonghua Qu; Jindi Wang; Huawei Wan; Xiaoqing Liu

doi:10.1117/12.760709

26 July 2007 Canopy BRF simulation of forest with different crown shape and height in larger scale based on Radiosity method

Jinling Song, Yonghua Qu, Jindi Wang, Huawei Wan, Xiaoqing Liu

Author Affiliations +

Proceedings Volume 6752, Geoinformatics 2007: Remotely Sensed Data and Information; 67521U (2007) https://doi.org/10.1117/12.760709
Event: Geoinformatics 2007, 2007, Nanjing, China

Abstract

Radiosity method is based on the computer simulation of 3D real structures of vegetations, such as leaves, branches and stems, which are composed by many facets. Using this method we can simulate the canopy reflectance and its bidirectional distribution of the vegetation canopy in visible and NIR regions. But with vegetations are more complex, more facets to compose them, so large memory and lots of time to calculate view factors are required, which are the choke points of using Radiosity method to calculate canopy BRF of lager scale vegetation scenes. We derived a new method to solve the problem, and the main idea is to abstract vegetation crown shapes and to simplify their structures, which can lessen the number of facets. The facets are given optical properties according to the reflectance, transmission and absorption of the real structure canopy. Based on the above work, we can simulate the canopy BRF of the mix scenes with different species vegetation in the large scale. In this study, taking broadleaf trees as an example, based on their structure characteristics, we abstracted their crowns as ellipsoid shells, and simulated the canopy BRF in visible and NIR regions of the large scale scene with different crown shape and different height ellipsoids. Form this study, we can conclude: LAI, LAD the probability gap, the sunlit and shaded surfaces are more important parameter to simulate the simplified vegetation canopy BRF. And the Radiosity method can apply us canopy BRF data in any conditions for our research.

Citation Download Citation

Jinling Song, Yonghua Qu, Jindi Wang, Huawei Wan, and Xiaoqing Liu "Canopy BRF simulation of forest with different crown shape and height in larger scale based on Radiosity method", Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 67521U (26 July 2007); https://doi.org/10.1117/12.760709

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KEYWORDS

Vegetation

Computer simulations

Reflectivity

Near infrared

Scene simulation

Transmittance

3D modeling

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