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Developing a New Spectral Index for Detecting Cadmium-Induced Stress in Rice on a Regional Scale

In natural farmland ecosystems, cadmium (Cd) pollution in rice has attracted increasing attention because of its high toxicity, relative mobility, and high water solubility. This study aims to develop a spectral index for detecting Cd stress in rice on a regional scale. Three experimental sites are...

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Autores principales: Wu, Chuanyu, Liu, Meiling, Liu, Xiangnan, Wang, Tiejun, Wang, Lingyue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6926911/
https://www.ncbi.nlm.nih.gov/pubmed/31795501
http://dx.doi.org/10.3390/ijerph16234811
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author Wu, Chuanyu
Liu, Meiling
Liu, Xiangnan
Wang, Tiejun
Wang, Lingyue
author_facet Wu, Chuanyu
Liu, Meiling
Liu, Xiangnan
Wang, Tiejun
Wang, Lingyue
author_sort Wu, Chuanyu
collection PubMed
description In natural farmland ecosystems, cadmium (Cd) pollution in rice has attracted increasing attention because of its high toxicity, relative mobility, and high water solubility. This study aims to develop a spectral index for detecting Cd stress in rice on a regional scale. Three experimental sites are selected in Zhuzhou City, Hunan Province. The hyperspectral data, chlorophyll (Chl) content, leaf area index, average leaf angle, Cd concentration in soil, and Sentinel-2A images from 2017 and 2018 are collected. A new spectral index sensitive to Cd stress in rice is established based on the global sensitivity analysis of the radiative transfer model PROSPECT + SAIL (commonly called PROSAIL) model with the auxiliary of the field-measured data. The heavy metal Cd stress-sensitive spectral index (HCSI) is devised as an indicator of the degree of Cd stress in rice. Results indicate that (1) the HCSI developed based on Chl is a good indicator of rice damage caused by Cd stress, that is, low values of HCSI occur in rice subject to relatively high pollution; (2) compared with common spectral indices, such as red-edge position and red-edge Chl index, HCSI is more sensitive to Chl content with higher Pearson correlation coefficients with respect to Chl content, ranging from 0.85 to 0.95; (3) HCSI is successfully applied in Sentinel-2A images from the two different years of monitoring rice Cd stress on a regional scale. Cd stress levels in rice stabilized, and the largest area percentage of each pollution levels of Cd decreased in the following order: No pollution (i.e., 40%), low pollution (i.e., 35%), and high pollution (i.e., 25%). This study indicates that a combination of simulation data from the PROSAIL model and measured data appears to be a promising method for establishing a sensitivity spectral index to heavy metal stress, which can accurately detect regional Cd stress in crops.
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spelling pubmed-69269112019-12-23 Developing a New Spectral Index for Detecting Cadmium-Induced Stress in Rice on a Regional Scale Wu, Chuanyu Liu, Meiling Liu, Xiangnan Wang, Tiejun Wang, Lingyue Int J Environ Res Public Health Article In natural farmland ecosystems, cadmium (Cd) pollution in rice has attracted increasing attention because of its high toxicity, relative mobility, and high water solubility. This study aims to develop a spectral index for detecting Cd stress in rice on a regional scale. Three experimental sites are selected in Zhuzhou City, Hunan Province. The hyperspectral data, chlorophyll (Chl) content, leaf area index, average leaf angle, Cd concentration in soil, and Sentinel-2A images from 2017 and 2018 are collected. A new spectral index sensitive to Cd stress in rice is established based on the global sensitivity analysis of the radiative transfer model PROSPECT + SAIL (commonly called PROSAIL) model with the auxiliary of the field-measured data. The heavy metal Cd stress-sensitive spectral index (HCSI) is devised as an indicator of the degree of Cd stress in rice. Results indicate that (1) the HCSI developed based on Chl is a good indicator of rice damage caused by Cd stress, that is, low values of HCSI occur in rice subject to relatively high pollution; (2) compared with common spectral indices, such as red-edge position and red-edge Chl index, HCSI is more sensitive to Chl content with higher Pearson correlation coefficients with respect to Chl content, ranging from 0.85 to 0.95; (3) HCSI is successfully applied in Sentinel-2A images from the two different years of monitoring rice Cd stress on a regional scale. Cd stress levels in rice stabilized, and the largest area percentage of each pollution levels of Cd decreased in the following order: No pollution (i.e., 40%), low pollution (i.e., 35%), and high pollution (i.e., 25%). This study indicates that a combination of simulation data from the PROSAIL model and measured data appears to be a promising method for establishing a sensitivity spectral index to heavy metal stress, which can accurately detect regional Cd stress in crops. MDPI 2019-11-29 2019-12 /pmc/articles/PMC6926911/ /pubmed/31795501 http://dx.doi.org/10.3390/ijerph16234811 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wu, Chuanyu
Liu, Meiling
Liu, Xiangnan
Wang, Tiejun
Wang, Lingyue
Developing a New Spectral Index for Detecting Cadmium-Induced Stress in Rice on a Regional Scale
title Developing a New Spectral Index for Detecting Cadmium-Induced Stress in Rice on a Regional Scale
title_full Developing a New Spectral Index for Detecting Cadmium-Induced Stress in Rice on a Regional Scale
title_fullStr Developing a New Spectral Index for Detecting Cadmium-Induced Stress in Rice on a Regional Scale
title_full_unstemmed Developing a New Spectral Index for Detecting Cadmium-Induced Stress in Rice on a Regional Scale
title_short Developing a New Spectral Index for Detecting Cadmium-Induced Stress in Rice on a Regional Scale
title_sort developing a new spectral index for detecting cadmium-induced stress in rice on a regional scale
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6926911/
https://www.ncbi.nlm.nih.gov/pubmed/31795501
http://dx.doi.org/10.3390/ijerph16234811
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