Hyperspectral remote sensing of plant pigments.
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TLDR
The prospects for extending research to the wider range of pigments in addition to chlorophyll are examined, testing emerging methods of hyperspectral analysis and exploring the fusion of hypersportral and LIDAR remote sensing.Abstract:
The dynamics of pigment concentrations are diagnostic of a range of plant physiological properties and processes. This paper appraises the developing technologies and analytical methods for quantifying pigments non-destructively and repeatedly across a range of spatial scales using hyperspectral remote sensing. Progress in deriving predictive relationships between various characteristics and transforms of hyperspectral reflectance data are evaluated and the roles of leaf and canopy radiative transfer models are reviewed. Requirements are identified for more extensive intercomparisons of different approaches and for further work on the strategies for interpreting canopy scale data. The paper examines the prospects for extending research to the wider range of pigments in addition to chlorophyll, testing emerging methods of hyperspectral analysis and exploring the fusion of hyperspectral and LIDAR remote sensing. In spite of these opportunities for further development and the refinement of techniques, current evidence of an expanding range of applications in the ecophysiological, environmental, agricultural, and forestry sciences highlights the growing value of hyperspectral remote sensing of plant pigments.read more
Citations
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Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps
TL;DR: A variety of spectral indices now exist for various precision agriculture applications, rather than a focus on only normalised difference vegetation indices as discussed by the authors, and the spectral bandwidth has decreased dramatically with the advent of hyperspectral remote sensing, allowing improved analysis of specific compounds, molecular interactions, crop stress, and crop biophysical or biochemical characteristics.
Journal ArticleDOI
Retrieval of foliar information about plant pigment systems from high resolution spectroscopy
Susan L. Ustin,Anatoly A. Gitelson,Stéphane Jacquemoud,Michael E. Schaepman,Gregory P. Asner,John A. Gamon,Pablo J. Zarco-Tejada +6 more
TL;DR: New methods to identify and quantify individual pigments in the presence of overlapping absorption features would provide a major advance in understanding their biological functions, quantifying net carbon exchange, and identifying plant stresses.
Journal ArticleDOI
Review of studies on tree species classification from remotely sensed data
Fabian Ewald Fassnacht,Hooman Latifi,Krzysztof Stereńczak,Aneta Modzelewska,Michael A. Lefsky,Lars T. Waser,Christoph Straub,Aniruddha Ghosh +7 more
TL;DR: It is recommended that future research efforts focus stronger on the causal understanding of why tree species classification approaches work under certain conditions or – maybe even more important - why they do not work in other cases as this might require more complex field acquisitions than those typically used in the reviewed studies.
References
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Book ChapterDOI
Chlorophylls and carotenoids: Pigments of photosynthetic biomembranes
TL;DR: In this article, the spectral characteristics and absorption coefficients of chlorophylls, pheophytins, and carotenoids were analyzed using a two-beam spectrophotometer.
Journal ArticleDOI
An introduction to wavelets
TL;DR: The mathematics have been worked out in excruciating detail, and wavelet theory is now in the refinement stage, which involves generalizing and extending wavelets, such as in extending wavelet packet techniques.
Journal ArticleDOI
Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages
Daniel A. Sims,John A. Gamon +1 more
TL;DR: Developing spectral indices for prediction of leaf pigment content that are relatively insensitive to species and leaf structure variation and thus could be applied in larger scale remote-sensing studies without extensive calibration are developed.
Journal ArticleDOI
PROSPECT: A model of leaf optical properties spectra
TL;DR: In this paper, a radiative transfer model based on Allen's generalized plate model is proposed to represent the optical properties of plant leaves from 400 nm to 2500 nm, where spectral refractive index (n) and a parameter characterizing the leaf mesophyll structure (N) are used.
Journal ArticleDOI
Estimating Corn Leaf Chlorophyll Concentration from Leaf and Canopy Reflectance
TL;DR: In this paper, a wide range of leaf chlorophyll levels were established in field-grown corn (Zea mays L.) with the application of 8 N levels: 0, 12.5%, 25, 50, 75, 100, 125, and 150% of the recommended rate.
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