Journal
REMOTE SENSING OF ENVIRONMENT
Volume 164, Issue -, Pages 270-281Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.rse.2015.03.027
Keywords
Proximal sensing; Automated field spectroscopy systems; Hyperspectral missions; Calibration/validation; Sun-Induced Fluorescence; FLEX
Funding
- European Space Agency [22661/09/I-LG]
- ESA [4000107143/12/NL/FF/If]
- Transregional collaborative research centre (SFB/TR) 32 - Deutsche Forschungsgemeinschaft (DFG) [SFB/TR 32]
- CROP.SENSe.net project by the Ministry for Innovation, Science and Research (MIWF) of the North Rhine Westphalia (NRW) state
- European Union Funds for regional development (EFRE) [005-1103-0018]
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In this paper we present novel automated field spectroscopy systems for collecting unattended, continuous and long-term measurements of plant canopies and, more in general, of Earth's ecosystems. These systems simultaneously collect high and ultra-high resolution spectra in the visible to near-infrared (VNIR) domain employing two spectrometers: i) the first covers the spectral range 400-1000 nm with a 1.0 nm spectral resolution; ii) the second provides a sub-nanometer spectral resolution within the 700-800 nm spectral range. The data collected by the first spectrometer allow retrieval of VNIR reflectance, while the higher spectral resolution data from the second device permit estimation of vegetation Sun-Induced Fluorescence (SIF) in the O-2-A band. The instruments are constructed by assembling commercial and on-the-shelf optoelectronic devices to facilitate reproduction of the instrument for promoting measurements over different ecosystems. The instrument's optical design, data collection and processing, laboratory and in-field calibration methods are reported and discussed. The high spectral resolution and the rigorous calibration methods enable accurate estimation of SIF in physical units by exploiting almost the same retrieval concept as that of the European Space Agency FLuorescence EXplorer mission. The instruments have been operated in several field campaigns with the aim to show: i) the possibility of continuous and seasonal monitoring of plant growth and activity of an agricultural crop; and ii) the diverse and specific daily course patterns of different types of canopy. The datasets of canopy reflectance, vegetation indices and SIF collected are shown and discussed. (C) 2015 Elsevier Inc. All rights reserved.
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