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9 December 2015 Preliminary validation of leaf area index sensor in Huailai
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Proceedings Volume 9808, International Conference on Intelligent Earth Observing and Applications 2015; 98081C (2015) https://doi.org/10.1117/12.2207616
Event: International Conference on Intelligent Earth Observing and Applications, 2015, Guilin, China
Abstract
Leaf area index (LAI) is a key variable in many land surface models that involve energy and mass exchange between vegetation and the environment. In recent years, extracting vegetation structure parameters from digital photography becomes a widely used indirect method to estimate LAI for its simplicity and ease of use. A Leaf Area Index Sensor (LAIS) system was developed to continuously monitor the growth of crops in several sampling points in Huailai, China. The system applies 3G/WIFI communication technology to remotely collect crop photos in real-time. Then the crop photos are automatically processed and LAI is estimated based on the improved leaf area index of Lang and Xiang (LAILX) algorithm in LAIS. The objective of this study is to primarily verify the LAI estimated from LAIS (Lphoto) through comparing them with the destructive green LAI (Ldest). Ldest was measured across the growing season ntil maximum canopy development while plants are still green. The preliminary verification shows that Lphoto corresponds well with the Ldest (R2=0.975). In general, LAI could be accurately estimated with LAIS and its LAI shows high consistency compared with the destructive green LAI. The continuous LAI measurement obtained from LAIS could be used for the validation of remote sensing LAI products.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Erli Cai, Xiuhong Li, Qiang Liu, Baocheng Dou, Chongyan Chang, Hailin Niu, Xingwen Lin, and Jialin Zhang "Preliminary validation of leaf area index sensor in Huailai", Proc. SPIE 9808, International Conference on Intelligent Earth Observing and Applications 2015, 98081C (9 December 2015); https://doi.org/10.1117/12.2207616
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