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6 March 2014 Multitemporal crop surface models: accurate plant height measurement and biomass estimation with terrestrial laser scanning in paddy rice
Nora Tilly, Dirk Hoffmeister, Qiang Cao, Shanyu Huang, Victoria Lenz-Wiedemann, Yuxin Miao, Georg Bareth
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Journal of Applied Remote Sensing, Vol. 8, Issue 1, 083671 (March 2014). https://doi.org/10.1117/1.JRS.8.083671
Abstract
Appropriate field management requires methods of measuring plant height with high precision, accuracy, and resolution. Studies show that terrestrial laser scanning (TLS) is suitable for capturing small objects like crops. In this contribution, the results of multitemporal TLS surveys for monitoring plant height on paddy rice fields in China are presented. Three campaigns were carried out on a field experiment and on a farmer’s conventionally managed field. The high density of measurement points allows us to establish crop surface models with a resolution of 1 cm, which can be used for deriving plant heights. For both sites, strong correlations (each R 2 =0.91 between TLS-derived and manually measured plant heights confirm the accuracy of the scan data. A biomass regression model was established based on the correlation between plant height and biomass samples from the field experiment (R 2 =0.86 ). The transferability to the farmer’s field was supported with a strong correlation between simulated and measured values (R 2 =0.90 ). Independent biomass measurements were used for validating the temporal transferability. The study demonstrates the advantages of TLS for deriving plant height, which can be used for modeling biomass. Consequently, laser scanning methods are a promising tool for precision agriculture.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Nora Tilly, Dirk Hoffmeister, Qiang Cao, Shanyu Huang, Victoria Lenz-Wiedemann, Yuxin Miao, and Georg Bareth "Multitemporal crop surface models: accurate plant height measurement and biomass estimation with terrestrial laser scanning in paddy rice," Journal of Applied Remote Sensing 8(1), 083671 (6 March 2014). https://doi.org/10.1117/1.JRS.8.083671
Published: 6 March 2014
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Cited by 164 scholarly publications and 4 patents.
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KEYWORDS
Biological research
Laser scanners
Clouds
Agriculture
Vegetation
Scanners
Spatial resolution
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