EVALUATION OF TERRESTRIAL LASER SCANNING FOR RICE GROWTH MONITORING
- 1Institute of Geography (GIS & Remote Sensing Group), University of Cologne, 50923 Cologne, Germany
- 2Department of Plant Nutrition, China Agricultural University, 100193 Beijing, China
- 3Five Star Electronic Technologies Co. Ltd., Fengtai District, Fangchengyuanyiqu, Building17, Riyuetiandi B,100078 Beijing, China
- 4International Center for Agro-Informatics and Sustainable Development (ICASD), Yuanmingyuan West Road 100193 Beijing, China
Keywords: TLS, Multitemporal, Agriculture, Crop, Change Detection, Monitoring
Abstract. The rapidly growing world population and the resulting pressure on the efficiency of agriculture require a sustainable development of intensive field management with regard to natural resources. In this context, the use of non-destructive remote sensing technologies to monitor status and change detection of plant growth is in the focus of research and application. In this contribution, we evaluate the applicability of multitemporal terrestrial laser scanning (TLS) for rice growth monitoring. The test sites are located around Jiansanjiang in Heilongjiang Province in the far northeast of China. The focus of the field experiment was on different nitrogen fertilizer inputs during the growing period in 2011. To realize the monitoring approach, three campaigns were carried out during the vegetative stage of rice plants. For all campaigns the terrestrial laser scanner Riegl VZ-1000 was used. The achieved knowledge can be described in two parts. First, for each date the variability of plant height and biomass is detectable for the whole experiment field and – more important – between the plots. Furthermore, differences in height and biomass related to edge effects can be investigated for every single plot. The spatial distribution is visualized by Crop Surface Models (CSM), which are digital surface models with a high resolution and accuracy achieved by the interpolation of the 3D point clouds. Secondly, the multitemporal surveying approach enables the monitoring of the growth rate of the rice plants. Additionally, it is possible to detect and analyze as well the spatial distribution of the changes by comparing the CSMs. Our results show that TLS is a suitable and promising method for rice growth monitoring. Furthermore, the contemporaneous surveying with other sensors enables us to validate our measurements and bares opportunities for further enhancements.