Special Lecture: Hyperspectral Imaging in agriculture and forestry applications
Summary.
Miniaturized hyperspectral sensor technologies are developing rapidly and they are offering new possibilities for drone remote sensing applications. In particular, hyperspectral imaging is a powerful technique in various vegetation remote sensing tasks in forestry and agriculture. This lecture provides an overview of the state-of-the-art miniaturized hyperspectral sensors for drones, data processing, and data analysis. Then we will present results from recent case studies at the FGI related to tree species classification, insect pest detection in forests, and nutrient status estimation of silage grass.
About the Speaker
Dr Eija Honkavaara is a Research Professor at the Finnish Geospatial Research Institute in the National Land Survey of Finland and Docent at the Aalto University. Today, her research focuses on drone-based remote sensing, photogrammetry, and hyperspectral imaging and their utilization in AI-based environmental applications, especially in forestry and agriculture. She is leading the working group “Hyperspectral Image Processing” in the International Society for Photogrammetry and Remote Sensing (ISPRS).
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