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Article

SGOT: A Simplified Geometric-Optical Model for Crown Scene Components Modeling over Rugged Terrain

1
Research Center for Digital Mountain and Remote Sensing Application, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
3
Wanglang Mountain Remote Sensing Observation and Research Station of Sichuan Province, Mianyang 621000, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2022, 14(8), 1821; https://doi.org/10.3390/rs14081821
Submission received: 1 December 2021 / Revised: 1 April 2022 / Accepted: 7 April 2022 / Published: 10 April 2022

Abstract

Topography affects the fraction of scene components of the canopy and background, resulting in the observed reflectance distortion. Modeling the canopy reflectance over rugged terrain needs to account for topographic effects. For this purpose, the existing models greatly increased the mathematical complexity while improving description of terrain and crown structure, which dramatically decreased the computational efficiency so as to limit their universal application. In this study, we developed a simplified geometric-optical model (SGOT) for simulating the scene components over rugged terrain. The geotropism of tree growth was considered to make SGOT physically sound. The internal structure of crown was simplified to make SGOT mathematically simpler. Scene component observations derived from Persistence of Vision Ray-tracer (POV-Ray) on surfaces with different normal directions and simulations were made using Geometric-Optical and Mutual Shadowing Coupled with Topography Model (GOMST) and Geometric-Optical for Sloping Terrains Model GOST; models were combined to test the SGOT model. In addition, topographic factors and crown density effect on the scene components modeling were analyzed. The results indicated that SGOT has good accuracy (R2 for the areal proportions of sunlit crown (Kc), sunlit background (Kg), shaded crown (Kt), and shaded background (Kz) are 0.853, 0.857, 0.914, and 0.838, respectively) compared with POV-Ray simulation, and performs better than GOMST, especially in scenes with high crown density. Moreover, SGOT outperformed the compared models in computational efficiency (4% faster than GOMST and 29.5% faster than GOST). Finally, the simulations of the scene components distribution in different topographic factors and crown density were further discussed. SGOT and GOST can both capture scene component variations caused by terrain better than GOMST, but comparatively, SGOT provides a more efficient tool to simulate the crown scene components because of its physical soundness and mathematical simplicity, and consequently, it will facilitate the modeling of canopy reflectance over mountainous regions.
Keywords: canopy reflectance; geometric-optical model; scene components; topographic effect canopy reflectance; geometric-optical model; scene components; topographic effect
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MDPI and ACS Style

Hu, G.; Li, A. SGOT: A Simplified Geometric-Optical Model for Crown Scene Components Modeling over Rugged Terrain. Remote Sens. 2022, 14, 1821. https://doi.org/10.3390/rs14081821

AMA Style

Hu G, Li A. SGOT: A Simplified Geometric-Optical Model for Crown Scene Components Modeling over Rugged Terrain. Remote Sensing. 2022; 14(8):1821. https://doi.org/10.3390/rs14081821

Chicago/Turabian Style

Hu, Guyue, and Ainong Li. 2022. "SGOT: A Simplified Geometric-Optical Model for Crown Scene Components Modeling over Rugged Terrain" Remote Sensing 14, no. 8: 1821. https://doi.org/10.3390/rs14081821

APA Style

Hu, G., & Li, A. (2022). SGOT: A Simplified Geometric-Optical Model for Crown Scene Components Modeling over Rugged Terrain. Remote Sensing, 14(8), 1821. https://doi.org/10.3390/rs14081821

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