An Assessment of 3D Monte Carlo Simulator to Estimate Forest Bidirectional Reflectance Factor (BRF) with Slope Ground Condition

Topography is considered as a key factor to influence the bidirectional reflectance factor (BRF) towards the short wavelength remote sensing images. Deep investigation is inevitable for comprehensively understanding the mechanism of the effect from the rugged topography. In this paper, we implement an assessment by comparing field collected with simulated BRF to evaluate a simulator code performance dealing with forest with slope condition, i.e. Topographic Relief Correlated Monte Carlo Radiative Transferring Simulator (TRCMCRTS) [1]. Preliminary comparison results show the simulated BRF can illustrate reasonable variation with different leaf area densities, despite with the spectral parameters from online database cause deviations. By using the recently launched Global Change Observation Mission - Climate 1 (GCOM-C1) / Second generation Global Imager (SGLI) data, further experiment will be addressed to validate the model.

[1]  K. Liou,et al.  A monte carlo method for 3D thermal infrared radiative transfer , 2006 .

[2]  Junichi Susaki,et al.  A 3-D Topographic-Relief-Correlated Monte Carlo Radiative Transfer Simulator for Forest Bidirectional Reflectance Estimation , 2017, IEEE Geoscience and Remote Sensing Letters.

[3]  Clement Atzberger,et al.  Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs , 2013, Remote. Sens..

[4]  Takeshi Motohka,et al.  Reflectance and transmittance spectra of leaves and shoots of 22 vascular plant species and reflectance spectra of trunks and branches of 12 tree species in Japan , 2014, Ecological Research.

[5]  Alan H. Strahler,et al.  An algorithm for the retrieval of albedo from space using semiempirical BRDF models , 2000, IEEE Trans. Geosci. Remote. Sens..

[6]  J. Muller,et al.  MODIS BRDF / Albedo Product : Algorithm Theoretical Basis Document Version 5 . 0 , 1999 .

[7]  David Riaño,et al.  Assessment of different topographic corrections in Landsat-TM data for mapping vegetation types (2003) , 2003, IEEE Trans. Geosci. Remote. Sens..

[8]  Alex Hall,et al.  Application of three-dimensional solar radiative transfer to mountains , 2006 .

[9]  Hideki Kobayashi,et al.  Modeling three-dimensional forest structures to drive canopy radiative transfer simulations of bidirectional reflectance factor , 2018, Int. J. Digit. Earth.

[10]  P. Teillet,et al.  On the Slope-Aspect Correction of Multispectral Scanner Data , 1982 .