Digital Terrain Models Generation based on GNSS-Acquired Data

Zugehörigkeit
John Deere GmbH & Co. KG, Deutschland
Moanta, Aurelia Maria;
Zugehörigkeit
John Deere GmbH & Co. KG, Deutschland
Rostanin, Oleg;
GND
1184903239
Zugehörigkeit
Julius Kühn-Institut (JKI), Institut für Strategien und Folgenabschätzung, Deutschland
Riedel, Tanja;
Zugehörigkeit
Central Institute for Decision Support Systems in Crop Protection (ZEPP), Deutschland
Estel, Stephan;
Zugehörigkeit
Information System for Integrated Plant Protection (ISIP), Deutschland
Federle; Christoph;
Zugehörigkeit
John Deere GmbH & Co. KG, Deutschland
Bartolein, Christian

The rapid population growth, cost pressure and environmental requests have changed the way agriculture is done by pushing both the industry and the farmers to develop and invest in efficient and sustainable technologies, aimed at improving crop yields and reduce input costs. A special attention is required by the application of pesticides, whose usage affects not only the crops, but also the environment. When applying pesticides highest precision is required, non-targeted area must not be contaminated and regulations e.g. in regard to buffer zones, where spraying is prohibited, must be met. Since pesticide contamination can occur not only through direct application, but also through run-off or erosion, the German law stipulates the presence of buffer zones between targeted areas and adjacent waterbodies. The PAM3D project aims to integrate elevation information in the computation of buffer zones by using Digital Elevation Models (DEMs). Based on DEMs, the slope parameter can be derived and further introduced into the computation of buffer zones. The progress made in the GNSS field, where the repeatable accuracy can go up to ± 2 cm (RTK techniques), makes the documentation data from various field operations a viable source of 3D coordinates, from which highquality DEMs can be generated through kriging interpolation method. Furthermore, a cloud-based service with capabilities to process and store 3D information from GNSS receivers has been implemented, together with APIs necessary for enabling the communication between users and service.

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