3D Data Acquisition to Monitor Cropping Systems: Sensors and Methods

摘要

In the last 5 years, a significant trend characterizes sensor development: miniaturization. The latter also accounts for TLS and UAV sensors. In combination with the developments in low-weight unmanned airborne vehicles (UAVs) or RPAS, new research opportunities arise. Especially, the generation of 3D point clouds from TLS or UAV-based imaging campaigns enables a new era in remote sensing applications in terms of spatial and temporal resolutions. Especially in precision agriculture, the demand of non-destructive sensing methods which provide within-field variabilities in space and time is given to improve crop management. Consequently, the new 3D sensing methods implicate a significant potential to improve crop monitoring. In this contribution, the focus will be on (i) 3D data analysis using multi-temporal Crop Surface Models (CSM), (ii) understanding the 3D information of crop surfaces derived by different sensors, and (iii) applying an established GIS method for resampling plant height data.