Abstract
Heavy metal stress will induce the change of the bio-parameters like chlorophyll, nitrogen and water content of rice. In this paper, we analyzed the traditional spectral index which has strong relationship in general with the three bio-parameters using hyperspectral data acquired by ASD. It is found that some indies do not work well when the heavy metal stress exists, however, some indies still has ability to estimate the above three bio-parameters. A new interpretation is proposed to classify the stress level based on both the physical mechanism analysis and the statistic model after we describe and discuss studies on the expression of spectral indices of rice under heavy metal stress. The 3-axes spectral indices spaces, which are constructed of 3 spectral indices sensitive to rice’s chlorophyll concentration, nitrogen concentration and water concentration respectively, are used to visualize the linkage between heavy metal stress and spectrum of rice canopy.
Highlights
Heavy metal contamination in soil is going to be worse in China and will damage the food safety
We tried to classify the heavy metal stress level considering the change of chlorophyll content, water content and nitrogen content of rice at the same time, which means we found three single spectral index which is sensitive to chlorophyll content, used them to construct a spectral indies space which can show the heavy metal stress level visually
Some indies do not show good relationship with the bio-parameters while they can do good job normally (Figure 3). It seems the unhealthy rice under heavy metal stress has different sensitive spectral indies from that of healthy rice
Summary
Heavy metal contamination in soil is going to be worse in China and will damage the food safety. Farmland heavy metal contamination is a global ecological problem and become a threat to human survival and sustainable development due to heavy metal can be induced into food by crop absorption and metabolism, or migrate into the water body. It is time-consuming to measure the soil quality by traditional chemical methods, and especially the vegetarian coverage makes the soil’s spectrum hard to be acquired directly. It is practicable using remote sensing data to indirectly detect the crops’ healthy status. The level of heavy metal stress level can be estimated using remote sensing data
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