Isolated tree 3D modeling: based on photographing leaf area density(LAD) calculation and L-system method

Shengye Jin; Masayuki Tamura

doi:10.1117/12.977273

21 November 2012 Isolated tree 3D modeling: based on photographing leaf area density(LAD) calculation and L-system method

Shengye Jin, Masayuki Tamura

Author Affiliations +

Proceedings Volume 8524, Land Surface Remote Sensing; 85240X (2012) https://doi.org/10.1117/12.977273
Event: SPIE Asia-Pacific Remote Sensing, 2012, Kyoto, Japan

Abstract

In this paper we developed a 3D L-System tree model which expresses the leaf area density (LAD). As a key parameter, which conveys the thickness degree of the canopy and interaction capacity between a tree and the atmosphere, LAD is an important aspect in radiation transfer modeling within the vegetation canopy during the last decades. For modeling a tree, L-System is a good application which explains the internal canopy structure in detail. In the study, we developed the tree model in 3 steps. First we took photographs from eight directions using a commercial digital camera, and then extracted the canopy gap fraction. Secondly, we collected the sample camphor tree’s leaf angles in the field for getting the leaf angle density function and computed the G-function from leaf angle density. We calculated the sample tree’s LAD by Beer-Lambert’s law. LAI-2000 instrument was the standard data source provider for evaluating the photographing method’s LAD result. We set the L-System tree parameters in order to coincide with the real tree. The tree model visualization was performed by using POV-Ray v3.60. The eight directions photographing method’s LAD result (0.54) was significantly close with the LAI-2000 adjusted data (0.52). Similarly the L-system tree models LAD mean value for 1000 samples was observed to be 0.54 which is close to the validation results.

Citation Download Citation

Shengye Jin and Masayuki Tamura "Isolated tree 3D modeling: based on photographing leaf area density(LAD) calculation and L-system method", Proc. SPIE 8524, Land Surface Remote Sensing, 85240X (21 November 2012); https://doi.org/10.1117/12.977273

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KEYWORDS

Photography

3D modeling

Vegetation

Data modeling

Statistical modeling

Cameras

Atmospheric modeling

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