Developing a New Spectral Index for Detecting Cadmium-Induced Stress in Rice on a Regional Scale
Bibliographic Data
| ID | 15500262 |
|---|---|
| Authors | Chuan‐Yu Wu (0000-0003-2721-5231, China University of Geosciences (Beijing)), Meiling Liu (0009-0009-4384-8101, China University of Geosciences (Beijing), corresponding author), Xiangnan Liu (0000-0003-0036-7091, China University of Geosciences (Beijing)), Tiejun Wang (0000-0002-2362-8007, University of Twente), Lingyue Wang (0000-0002-7616-5042, China University of Geosciences (Beijing)) |
| Year | 2019 |
| Volume | 16 |
| Issue | 23 |
| Pages | 4811-4811 |
| Publication date | 2019-11-29 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph16234811 |
| PMID | 31795501 |
| OpenAlex | W2989672122 |
| Language | EN |
| Citations received | 1 |
| References cited | 2 |
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
Agronomy · Biology · Cadmium · Chlorophyll · Geography · Hyperspectral imaging · Paddy field · Physics · Red edge · Remote sensing · Spectral index · Spectral line · Chemistry · Environmental Science · Land Use and Ecosystem Services · Remote Sensing in Agriculture · Remote-Sensing Image Classification · Ecology · Environmental Chemistry · Horticulture · Pollution
| Citations per year | 0.25 |
|---|---|
| Citation span | 2022 - 2022 (1) |
| Highly cited | No |