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JOURNALS // Computer Optics // Archive

Computer Optics, 2018 Volume 42, Issue 5, Pages 877–884 (Mi co572)

This article is cited 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

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.

Received: 07.06.2018
Accepted: 15.10.2018

DOI: 10.18287/2412-6179-2017-42-5-877-884



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