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Journal of Applied Remote Sensing • Open Access

Multitemporal crop surface models: accurate plant height measurement and biomass estimation with terrestrial laser scanning in paddy rice
Author(s): Nora Tilly; Dirk Hoffmeister; Qiang Cao; Shanyu Huang; Victoria Lenz-Wiedemann; Yuxin Miao; Georg Bareth

Paper 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.

Paper Details

Date Published: 6 March 2014
PDF: 23 pages
J. Appl. Remote Sens. 8(1) 083671 doi: 10.1117/1.JRS.8.083671
Published in: Journal of Applied Remote Sensing Volume 8, Issue 1
Show Author Affiliations
Nora Tilly, Univ. zu Köln (Germany)
Dirk Hoffmeister, Univ. zu Köln (Germany)
Qiang Cao, China Agricultural Univ. (China)
Shanyu Huang, China Agricultural Univ. (China)
Victoria Lenz-Wiedemann, Univ. zu Köln (Germany)
Yuxin Miao, China Agricultural Univ. (China)
Georg Bareth, Univ. zu Köln (Germany)

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