Application of Reflectance Indices for Remote Sensing of Plants and Revealing Actions of Stressors

Environmental conditions are very changeable; fluctuations in temperature, precipitation, illumination intensity, and other factors can decrease a plant productivity and crop. The remote sensing of plants under these conditions is the basis for the protection of plants and increases their survivabil...

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Main Authors: Anastasiia Kior, Vladimir Sukhov, Ekaterina Sukhova
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Photonics
Subjects:
Online Access:https://www.mdpi.com/2304-6732/8/12/582
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author Anastasiia Kior
Vladimir Sukhov
Ekaterina Sukhova
author_facet Anastasiia Kior
Vladimir Sukhov
Ekaterina Sukhova
author_sort Anastasiia Kior
collection DOAJ
description Environmental conditions are very changeable; fluctuations in temperature, precipitation, illumination intensity, and other factors can decrease a plant productivity and crop. The remote sensing of plants under these conditions is the basis for the protection of plants and increases their survivability. This problem can be solved through measurements of plant reflectance and calculation of reflectance indices. Reflectance indices are related to the vegetation biomass, specific physiological processes, and biochemical compositions in plants; the indices can be used for both short-term and long-term plant monitoring. In our review, we considered the applications of reflectance indices in plant remote sensing. In Optical Methods and Platforms of Remote Sensing of Plants, we briefly discussed multi- and hyperspectral imaging, including descriptions of multispectral and hyperspectral cameras with different principles and their efficiency for the remote sensing of plants. In Main Reflectance Indices, we described the main reflectance indices, including vegetation, water, and pigment reflectance indices, as well as the photochemical reflectance index and its modifications. We focused on the relationships of leaf reflectance and reflectance indices to plant biomass, development, and physiological and biochemical characteristics. In Problems of Measurement and Analysis of Reflectance Indices, we discussed the methods of the correction of the reflectance indices that can be used for decreasing the influence of environmental conditions (mainly illumination, air, and soil) and plant characteristics (orientation of leaves, their thickness, and others) on their measurements and the analysis of the plant remote sensing. Additionally, the variability of plants was also considered as an important factor that influences the results of measurement and analysis.
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spelling doaj.art-aa236c80ff3a4780929a601ec990de272023-11-23T10:09:12ZengMDPI AGPhotonics2304-67322021-12-0181258210.3390/photonics8120582Application of Reflectance Indices for Remote Sensing of Plants and Revealing Actions of StressorsAnastasiia Kior0Vladimir Sukhov1Ekaterina Sukhova2Department of Biophysics, N.I. Lobachevsky State University of Nizhny Novgorod, 603950 Nizhny Novgorod, RussiaDepartment of Biophysics, N.I. Lobachevsky State University of Nizhny Novgorod, 603950 Nizhny Novgorod, RussiaDepartment of Biophysics, N.I. Lobachevsky State University of Nizhny Novgorod, 603950 Nizhny Novgorod, RussiaEnvironmental conditions are very changeable; fluctuations in temperature, precipitation, illumination intensity, and other factors can decrease a plant productivity and crop. The remote sensing of plants under these conditions is the basis for the protection of plants and increases their survivability. This problem can be solved through measurements of plant reflectance and calculation of reflectance indices. Reflectance indices are related to the vegetation biomass, specific physiological processes, and biochemical compositions in plants; the indices can be used for both short-term and long-term plant monitoring. In our review, we considered the applications of reflectance indices in plant remote sensing. In Optical Methods and Platforms of Remote Sensing of Plants, we briefly discussed multi- and hyperspectral imaging, including descriptions of multispectral and hyperspectral cameras with different principles and their efficiency for the remote sensing of plants. In Main Reflectance Indices, we described the main reflectance indices, including vegetation, water, and pigment reflectance indices, as well as the photochemical reflectance index and its modifications. We focused on the relationships of leaf reflectance and reflectance indices to plant biomass, development, and physiological and biochemical characteristics. In Problems of Measurement and Analysis of Reflectance Indices, we discussed the methods of the correction of the reflectance indices that can be used for decreasing the influence of environmental conditions (mainly illumination, air, and soil) and plant characteristics (orientation of leaves, their thickness, and others) on their measurements and the analysis of the plant remote sensing. Additionally, the variability of plants was also considered as an important factor that influences the results of measurement and analysis.https://www.mdpi.com/2304-6732/8/12/582remote sensingmultispectral imaginghyperspectral imagingvegetation reflectance indiceswater reflectance indicespigment reflectance indices
spellingShingle Anastasiia Kior
Vladimir Sukhov
Ekaterina Sukhova
Application of Reflectance Indices for Remote Sensing of Plants and Revealing Actions of Stressors
Photonics
remote sensing
multispectral imaging
hyperspectral imaging
vegetation reflectance indices
water reflectance indices
pigment reflectance indices
title Application of Reflectance Indices for Remote Sensing of Plants and Revealing Actions of Stressors
title_full Application of Reflectance Indices for Remote Sensing of Plants and Revealing Actions of Stressors
title_fullStr Application of Reflectance Indices for Remote Sensing of Plants and Revealing Actions of Stressors
title_full_unstemmed Application of Reflectance Indices for Remote Sensing of Plants and Revealing Actions of Stressors
title_short Application of Reflectance Indices for Remote Sensing of Plants and Revealing Actions of Stressors
title_sort application of reflectance indices for remote sensing of plants and revealing actions of stressors
topic remote sensing
multispectral imaging
hyperspectral imaging
vegetation reflectance indices
water reflectance indices
pigment reflectance indices
url https://www.mdpi.com/2304-6732/8/12/582
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