Événement

One-day Workshop on Drone Data Analytics in Agriculture

One-day workshop will cover basics of photogrammetry, best practices in UAS imagery data collection, theory and hands-on training on data analytic methods while analyzing actual agricultural data (case studies). Hands-on training will be provided by certified industry trainers and participants will get educated with available open source (QGIS) and commercial (Pix4D) data analytics software(s).

Agenda

Topic 1: Photogrammetry and optical sensing overview. Basics of photogrammetry with overview of available multi-spectral, thermal-infrared and Time-Of-Flight optical sensors.

Topic 2: Best practices in UAS imagery data collection. Learn about planning a good UAS mission, setting sensor parameters to have right metadata, right time-of-the day of data collection, field ground control points and calibration issues with practical and meaningful data interpretation

Topic 3: Overview of data processing tools and basic data analysis steps. Learn basics about radiometric, geometric corrections and image stitching; special, spectral and radiometric image enhancements; vegetable indices maps generation and interpretations; supervised and unsupervised data classification.

Topic 4: Hands-on training using 1) open source (QGIS) and 2) commercial (Pix4D) software. Using real agricultural data (case studies) get step-by-step hands-on training on how to analyze, store and display data with both the software(s). Also, learn about proper data handling & safety issues.