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Open AccessArticle

Accelerated RAPID Model Using Heterogeneous Porous Objects

Key Laboratory for Silviculture and Conservation, Ministry of Education, College of Forestry, Beijing Forestry University, Beijing100083, China
Remote Sens. 2018, 10(8), 1264;
Received: 25 April 2018 / Revised: 3 August 2018 / Accepted: 8 August 2018 / Published: 11 August 2018
(This article belongs to the Special Issue Radiative Transfer Modelling and Applications in Remote Sensing)
To enhance the capability of three-dimensional (3D) radiative transfer models at the kilometer scale (km-scale), the radiosity applicable to porous individual objects (RAPID) model has been upgraded to RAPID3. The major innovation is that the homogeneous porous object concept (HOMOBJ) used for a tree crown scale is extended to a heterogeneous porous object (HETOBJ) for a forest plot scale. Correspondingly, the radiosity-graphics-combined method has been extended from HOMOBJ to HETOBJ, including the random dynamic projection algorithm, the updated modules of view factors, the single scattering estimation, the multiple scattering solutions, and the bidirectional reflectance factor (BRF) calculations. Five cases of the third radiation transfer model intercomparison (RAMI-3) have been used to verify RAPID3 by the RAMI-3 online checker. Seven scenes with different degrees of topography (valleys and hills) at 500 m size have also been simulated. Using a personal computer (CPU 2.5 GHz, memory 4 GB), the computation time of BRF at 500 m is only approximately 13 min per scene. The mean root mean square error is 0.015. RAPID3 simulated the enhanced contrast of BRF between backward and forward directions due to topography. RAPID3 has been integrated into the free RAPID platform, which should be very useful for the remote sensing community. In addition, the HETOBJ concept may also be useful for the speedup of ray tracing models. View Full-Text
Keywords: BRDF; heterogeneous porous object (HETOBJ); radiosity; forest canopy; landscape scale BRDF; heterogeneous porous object (HETOBJ); radiosity; forest canopy; landscape scale
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MDPI and ACS Style

Huang, H. Accelerated RAPID Model Using Heterogeneous Porous Objects. Remote Sens. 2018, 10, 1264.

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