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Spectroradiometry: Types, Data Collection, and Processing
Prem Chandra Pandey,Manish Kumar Pandey,Ayushi Gupta,Prachi Singh,Prashant K. Srivastava +4 more
- pp 9-27
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The article was published on 2021-01-22. It has received 4 citations till now. The article focuses on the topics: Data collection & Hyperspectral imaging.read more
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Journal ArticleDOI
Evaluation of Simulated AVIRIS-NG Imagery Using a Spectral Reconstruction Method for the Retrieval of Leaf Chlorophyll Content
Bhagyashree Verma,Rajendra Prasad,Prashant K. Srivastava,Prachi Singh,Anushree Badola,Jyoti Sharma +5 more
TL;DR: In this paper , a multispectral image (AVIRIS-NG) is simulated using a spectral reconstruction method, namely, the universal pattern decomposition method (UPDM), which assumes that every pixel of an image can be decomposed as a linear composition of different classes present in that pixel.
Journal ArticleDOI
Integration of Raman, emission, and reflectance spectroscopy for earth and lunar mineralogy
Prateek Tripathi,Rahul Dev Garg +1 more
Abstract: Spectroscopy plays a vital role in the identification and characterization of minerals on terrestrial and planetary surfaces. We review the three different spectroscopic techniques for characterizing minerals on the Earth and lunar surfaces separately. Seven sedimentary and metamorphic terrestrial rock samples were analyzed with three field-based spectrometers, i.e., Raman, Fourier transform infrared (FTIR), and visible to near infrared and shortwave infrared (Vis–NIR–SWIR) spectrometers. Similarly, a review of work done by previous researchers on lunar rock samples was also carried out for their Raman, Vis–NIR–SWIR, and thermal (mid-infrared) spectral responses. It has been found in both the cases that the spectral information such as Si-O-Si stretching (polymorphs) in Raman spectra, identification of impurities, Christiansen and Restrahlen band center variation in mid-infrared spectra, location of elemental substitution, the content of iron, and shifting of the band center of diagnostic absorption features at 1 and 2 μm in reflectance spectra are contributing to the characterization and identification of terrestrial and lunar minerals. We show that quartz can be better characterized by considering silica polymorphs from Raman spectra, emission features in the range of 8 to 14 μm in FTIR spectra, and reflectance absorption features from Vis–NIR–SWIR spectra. KREEP materials from Apollo 12 and 14 samples are also better characterized using integrated spectroscopic studies. Integrated spectral responses felicitate comprehensive characterization and better identification of minerals. We suggest that Raman spectroscopy and visible and NIR-thermal spectroscopy are the best techniques to explore the Earth’s and lunar mineralogy.
Journal ArticleDOI
A hyperspectral R based leaf area index estimator: model development and implementation using AVIRIS-NG
TL;DR: In this paper , a new crop estimator model given the name "Crop Stage estimator" was developed using the hyperspectral remote sensing data on an open-source R platform.
Book ChapterDOI
Future pathway for research and emerging applications in GPS/GNSS
TL;DR: The evolution of theGNSS is discussed along with its market emergence and convergence followed by a detailed discussion on the challenges and vulnerabilities of the GNSS.
References
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TL;DR: In this paper, the authors provide an overview on the status of remote sensing applications in discriminating and mapping wetland vegetation, and estimating some of the biochemical and biophysical parameters of the vegetation.
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TL;DR: It is argued 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 irradiances for the incident energy.
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Journal ArticleDOI
Association of water spectral indices with plant and soil water relations in contrasting wheat genotypes
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