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Computer Optics, 2018, Volume 42, Issue 5, Pages 877–884
DOI: https://doi.org/10.18287/2412-6179-2017-42-5-877-884 (Mi co572) 		 
This article is cited in 27 scientific papers (total in 27 papers)

IMAGE PROCESSING, PATTERN RECOGNITION

Experimental determi-nation of soil moisture on hyperspectral images

V. V. Podlipnovab, V. N. Shchedrinc, A. N. Babichevc, S. M. Vasilyevc, V. A. Blankab

a Samara National Research University, 34, Moskovskoye shosse, 443086, Samara, Russia
b IPSI RAS – Branch of the FSRC “Crystallography and Photonics” RAS, Molodogvardeyskaya 151, 443001, Samara, Russia
c Russian Scientific Research Institute of Land Improvement Problems, Baklanovsky ave., 190, Novocherkassk, Rostov region, Russian Federation, 346421
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DOI: https://doi.org/10.18287/2412-6179-2017-42-5-877-884
Abstract: The possibility of humidity determination based on the use of spectral distributions in the wavelength range of up to $1 \mu m$ is analyzed. We discuss the use of an imaging hyperspectrometer for precision farming. A field experiment to determine the soil moisture index under the vegetation cover is described. A procedure of precise calibration of the hyperspectrometer based on the use of a tunable laser is described. We show the possibility of the practical determination of humidity based on the use of spectra in the wavelength range of up to $1 \mu m$.
Keywords: hyperspectrometer, image processing, distribution histogram, remote sensing, NDVI, water band index, the Offner scheme, hyperspectral images.
Funding agency Grant number
Russian Academy of Sciences - Federal Agency for Scientific Organizations 007-ÃÇ/×3363/26
Ministry of Education and Science of the Russian Federation 3.3025.2017/4.6
ÍØ-6307.2018.8
Russian Foundation for Basic Research 16-29-11744 îôè_ì
16-29-09528 îôè_ì
The work was supported by the Ministry of science and higher education of the Russian Federation in the framework of the work of the of state-assigned task (agreement No. 007-GB/×3363/26) (method of determining moisture content), of state-assigned task (3.3025.2017/4.6) (method of forming a hypercube), by the Russian Foundation for basic research (grants 16-29-11744 ofi_m, 16-29-09528 ofi_m) (calibration method), and by President's grant NSH6307.2018.8 (production elements).
Received: 07.06.2018
Accepted: 15.10.2018
Document Type: Article
Language: Russian
Citation: V. V. Podlipnov, V. N. Shchedrin, A. N. Babichev, S. M. Vasilyev, V. A. Blank, “Experimental determi-nation of soil moisture on hyperspectral images”, Computer Optics, 42:5 (2018), 877–884
Citation in format AMSBIB
\Bibitem{PodShcBab18}
\by V.~V.~Podlipnov, V.~N.~Shchedrin, A.~N.~Babichev, S.~M.~Vasilyev, V.~A.~Blank
\paper Experimental determi-nation of soil moisture on hyperspectral images
\jour Computer Optics
\yr 2018
\vol 42
\issue 5
\pages 877--884
\mathnet{http://mi.mathnet.ru/co572}
\crossref{https://doi.org/10.18287/2412-6179-2017-42-5-877-884}
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    • This publication is cited in the following 27 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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