Progress in Field Spectroscopy

By E. Milton, N. Fox, Michael E. Schaepman. 2006 IEEE International Symposium on Geoscience and Remote Sensing, 2006

404 citations recorded by the source corpus.

The measurement of spectral data in the field has an important role in remote sensing, and a long history, but instruments and methods to achieve this have serious limitations under all but the most ideal conditions. Problems arise from the instruments themselves, from the environment in which they are used, and from the methodologies that are commonly adopted. The variable most commonly sought from field measurements is spectral reflectance, or more strictly the bidirectional reflectance factor (BRF), but this is dependent to some extent on the instrument used to make the measurement, and the conditions of measurement, notably the sky irradiance distribution. In this paper we argue that field spectral measurements should be recorded in the appropriate SI units, which will normally be the derived units of radiance for the flux reflected from the target and irradiance for the incident energy. Reflectance data remain a convenient way to represent the energy interactions occurring at the surface, and they have value in generic spectral libraries, but ultimately they lack reproducibility unless accompanied by much more detailed metadata than is the norm in most spectral libraries.

Subfields: Aerospace Engineering, Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/edd90b2e8da024163c96d5fb4f2a94a338e3a3f3

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Citations in the corpus

Hyperspectral remote sensing of plant biochemistry using Bayesian model averaging with variable and band selection (2013, background): “Statistical inversion, despite its empirical nature, has played and will continue to play an indispensible role in forging a predictive science for hyperspectral remote sensing of vegetation (Asner & Martin, 2009; Feret et al., 2011), even given that recent advances in modeling leaf and canopy spect”
Vegetation monitoring using multispectral sensors – best practices and lessons learned from high latitudes (2018, background): “Table courtesy of NERC Field Spectroscopy Facility, Edinburgh UK (2018) based on work by Milton et al. (2009).”
Advanced radiometry measurements and Earth science applications with the Airborne Prism Experiment (APEX) (2015, methodology): “Imaging spectrometer data are used for many purposes nowadays and comprehensive overviews are found in the scientific literature (cf., Ben-Dor et al., 2009; Dozier, Green, Nolin, & Painter, 2009; Gao, Montes, Davis, & Goetz, 2009; Jacquemoud et al., 2009; Kokaly, Asner, Ollinger, Martin, & Wessman, ”
Sources of variability in canopy reflectance and the convergent properties of plants. (2011, background): “At the plant level, portable spectrometers are increasingly used for similar purposes, but factors such as leaf structure and stem geometry introduce additional sources of variability (e.g. Yoder & Pettigrew-Crosby, 1995; Milton et al., 2009).”
Review of optical-based remote sensing for plant trait mapping (2013, background): “Capabilities to retrieve plant traits and canopy properties from optical RS have evolved hand in hand with the technological development of RS spectroradiometers (Milton et al., 2009).”
LAI assessment of wheat and potato crops by VENμS and Sentinel-2 bands (2011, background): “The measurements were collected 1.5 m above the ground, generating an instantaneous FOV (IFOV) of about 0.35 m2.”