Advances & Challenges of Hyperspectral Data in Agriculture & Vegetation

Dr. Prasad Thenkabail, USGS

Recorded Keynote from Spectral Sessions 2021

Abstract:

Hyperspectral (or imaging spectroscopy) data will be at the forefront of the next generation of remote sensing. We will be gathering data of the Planet Earth in terms of the “spectral signature” of objects rather than a “few data points along the spectrum”. This is a quantum leap in data acquisition, mining, analysis, and multitude of applications. Over the last 50-years, hyperspectral remote sensing has been used mostly in “test of concept” mode with data acquired from various platforms such as ground-based, truck-mounted, airborne (aircrafts and drones), and spaceborne. Knowledge gained from this, has shown us advances we can make in studying the Planet using hyperspectral narrowband data relative to multispectral broadband data.

This keynote discusses the advances made in modeling, mapping, and monitoring agricultural and vegetation characteristics using hyperspectral imaging spectroscopy data.

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