Abstract

The HyPlant imaging spectrometer is a high-performance airborne instrument consisting of two sensor modules. The DUAL module records hyperspectral data in the spectral range from 400–2500 nm, which is useful to derive biochemical and structural plant properties. In parallel, the FLUO module acquires data in the red and near infrared range (670–780 nm), with a distinctly higher spectral sampling interval and finer spectral resolution. The technical specifications of HyPlant FLUO allow for the retrieval of sun-induced chlorophyll fluorescence (SIF), a small signal emitted by plants, which is directly linked to their photosynthetic efficiency. The combined use of both HyPlant modules opens up new opportunities in plant science. The processing of HyPlant image data, however, is a rather complex procedure, and, especially for the FLUO module, a precise characterization and calibration of the sensor is of utmost importance. The presented study gives an overview of this unique high-performance imaging spectrometer, introduces an automatized processing chain, and gives an overview of the different processing steps that must be executed to generate the final products, namely top of canopy (TOC) radiance, TOC reflectance, reflectance indices and SIF maps.

Highlights

  • Hyperspectral airborne imaging for applications in plant science has a long history and started with the AVIRIS sensor in 1987, which was built by the Jet Propulsion Laboratory of NASA [1]

  • Since sun-induced chlorophyll fluorescence (SIF) is emitted from the core of the photosynthetic machinery, it provides information directly linked to photosynthetic efficiency [6,7]

  • The aim of this paper is to provide a detailed overview of this processing chain and the processing steps that must be executed to generate the final products from HyPlant DUAL and FLUO raw image data

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Summary

Introduction

Hyperspectral airborne imaging for applications in plant science has a long history and started with the AVIRIS sensor in 1987, which was built by the Jet Propulsion Laboratory of NASA [1]. Several comparable sensors have been developed and used extensively, such as HyMap (HyVista Corp., Australia), APEX (University of Zurich, Switzerland, and Flemish Institute for Technological Research (VITO), Belgium), CASI (ITRES Research Ltd., Canada), Aisa (Specim Ltd., Finland) and HySpex (Norsk Elektro Optikk, Norway). In addition to reflecting light, plants emit a small amount of light in the red and near-infrared spectral domain from 670–780 nm. This signal is known as sun-induced chlorophyll fluorescence (SIF). The complexity of the signal, still causes several open points, including the scale dependency of SIF, full understanding of its information content and the way forward to mechanistically exploit SIF for advanced predictions of ecosystem photosynthesis and related gas-exchange processes

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