Learning outcome, core skills:
The students will learn about the unoccupied aerial vehicle (UAV) based remote sensing data acquisition and use in agriculture. They will understand the logic of using UAVs for agricultural applications and challenges and the essential theoretical background of available airborne technology, including international legislation and regulations for UAVs. They will learn to prepare a flight plan with all the prerequisites and to execute a safe flight mission. They will get experience in collecting UAV remote sensing data and the corresponding validation in-situ data on the field. Students will develop the ability to process the collected remote sensing data using open-source software to prepare maps and interpret them. They will obtain basic modelling skills to calibrate/validate models and estimate crop parameters with collected in-situ data and UAV remote sensing data.Contents:
- Basic principles of vegetation remote sensing with a focus on different sensors and their characteristics.
- Overview of the UAV application for agriculture, including opportunities and challenges.
- Understanding of essential components of UAVs and international rules and regulations for UAVs.
- Design an agricultural application with UAVs (Problem identification, data to be collected, selection of UAV and sensor, designing flying plans)
- Field-level experience in UAV flying, mission planning, remote sensing and crop in-situ data (e.g., LAI, plant height), and ground control point data collection.
- Introduction to structure from motion (SfM) technology for processing UAV images.
- Processing UAV remote sensing data to develop image ortho-mosaics.
- Visualisation of developed image products in Quantum GIS (QGIS) and their interpretation.
- Basic principles of regression models and introduction to R.
- Calibration and validation of crop in-situ data models using UAV remote sensing data, generation of estimated crop parameter maps, and interpretation of outputs.
Im Rahmen des Grünlandökologie-Moduls werden vermittelt: Grundliegende Kenntnisse über (1) Grünlandökosysteme Deutschlands (DEs),
(2) Grünlandtypen, Pflanzenbestände und Pflanzengesellschaften, (3) die
Bedeutung der funktionellen Biodiversität für Ökosystemleistungen des
Grünlands, (4) Dokumentation von (Hessischen) Kennarten gemäß den aktuellen
Fördervoraussetzungen für artenreiches Grünland, (5) Fauna der
Grünlandlebensräume DEs, (6) Naturschutz im und durch Grünland; sowie erste
Kenntnisse über: (7) Betrachtung des Grünlands im landschaftsökologischen
Kontext, (8) Phytotherapeutische Bedeutung von Grünlandarten in der
Tiermedizin, (9) alternative Grünlandnutzungsstrategien (mit Exkursion und
praktischem Teil)
Vorlesungsunterlagen und ergänzende Materialien zum Modul G19 "Spezieller Pflanzenbau, Grünland" im Sommersemester 2024