Day 4: Welcome and Overview
Plenary 4: Hyperspectral Remote Sensing
Session Description: This talk will focus on the use of hyperspectral imaging to provide guidance for adaptive management in the Sacramento - San Joaquin Delta and the potential for UAV hyperspectral imagery.
Data Management and Sharing Results
Instructors: Sean Hogan, Shane Feirer, Andy Lyons
Using UAV high-resolution mapping, participatory training, and citizen science for coastal ecosystem monitoring and modeling
Session Description: We carried out the UAV/Drone high-resolution mapping on the west coast of North America across 23-degree of latitude for monitoring and modeling the coastal ecosystem from 2019 to 2021. The object-oriented analysis was performed to estimate the link between extent/density of coastal seagrass habitats and the in situ biological characteristics. Meanwhile, we developed drone mapping training courses to teach local research partners to fly the drone independently for continuous data collection.
Mapping and Analyzing Drone Data in ArcGIS Pro (hands on exercise)
Instructors: Shane Feirer, Robert Johnson
UAS LiDAR – hardware, data collection, and analysis
Instructors: Pat Iampietro
Multispectral Data Visualization and Extraction with QGIS (hands on exercise)
Session Description: A common task for using drone data in research is to extract the pixels for specific plots or plants, so you can then analyze them using zonal statistics and other methods. In this workshop, you’ll learn how to use QGIS, a well-developed open source desktop GIS program, to visualize and analyze processed drone data. The final portion of the workshop will include a demonstration on how to integrate R scripts into QGIS for high-throughput phenotyping.