scholarly journals Estimating FAPAR of Rice Growth Period Using Radiation Transfer Model Coupled with the WOFOST Model for Analyzing Heavy Metal Stress

2017 ◽  
Vol 9 (5) ◽  
pp. 424 ◽  
Author(s):  
Gaoxiang Zhou ◽  
Xiangnan Liu ◽  
Shuang Zhao ◽  
Ming Liu ◽  
Ling Wu
Keyword(s):  
Heavy Metal ◽  
Radiation Transfer ◽  
Growth Period ◽  
Heavy Metal Stress ◽  
Metal Stress ◽  
Transfer Model ◽  
Rice Growth ◽  
Radiation Transfer Model

scholarly journals A Framework for Rice Heavy Metal Stress Monitoring Based on Phenological Phase Space and Temporal Profile Analysis

2019 ◽  
Vol 16 (3) ◽  
pp. 350 ◽  
Author(s):  
Xinyu Zou ◽  
Xiangnan Liu ◽  
Mengxue Liu ◽  
Meiling Liu ◽  
Biyao Zhang
Keyword(s):  
Heavy Metal ◽  
Phase Space ◽  
Vegetation Index ◽  
Profile Analysis ◽  
Heavy Metal Stress ◽  
Metal Stress ◽  
Stress Monitoring ◽  
Temporal Profile ◽  
Rice Growth ◽  
Stress Levels

Previous studies make it possible to use remote sensing techniques to monitor heavy metal stress of rice synchronously and continuously. However, most studies mainly focus on the analysis of rice’s visual symptoms and physiological functions rather than temporal information during the growth period, which may reflect significant changes of rice under heavy metal stress. In this paper, an enhanced spatial and temporal adaptive reflectance fusion model was used to generate synthetic Landsat time series. A normalized difference water index and an enhanced vegetation index were employed to build phenological phase space. Then, the ratio of the rice growth rate fluctuation (GRFI Ratio) was constructed for discriminating the different heavy metal stress levels on rice. Results suggested that the trajectories of rice growth in phenological phase space can depict the similarities and differences of rice growth under different heavy metal stress levels. The most common phenological parameters in the phase space cannot accurately discriminate the heavy metal stress level. However, the GRFI Ratio that we proposed outperformed in discriminating different levels of heavy metal stress. This study suggests that this framework of detecting the heavy metal pollution in paddy filed based on phenological phase space and temporal profile analysis is promising.

Effects of Metal Stress on Visible/Near-Infrared Reflectance Spectra of Vegetation

2011 ◽  
Vol 347-353 ◽  
pp. 2735-2738 ◽  
Author(s):  
Guang Yu Chi ◽  
Yi Shi ◽  
Xin Chen ◽  
Jian Ma ◽  
Tai Hui Zheng
Keyword(s):  
Heavy Metal ◽  
Structural Changes ◽  
Near Infrared ◽  
Leaf Surface ◽  
Spectral Response ◽  
Spectral Characteristics ◽  
Surface Characteristics ◽  
Heavy Metal Stress ◽  
Metal Stress ◽  
Near Infrared Reflectance

Vegetation which suffers from heavy metal stresses can cause changes of leaf color, shape and structural changes. The spectral characteristics of vegetation leaves is related to leaf thickness, leaf surface characteristics, the content of water, chlorophyll and other pigments. So the eco-physiology changes of plants can be reflected by spectral reflectance. Studies on the spectral response of vegetation to heavy metal stress can provide a theoretical basis for remote sensing monitoring of metal pollution in soils. In recent decades, there are substantial amounts of literature exploring the effects of heavy metals on vegetation spectra.

scholarly journals Differential gene expressions in arbuscular mycorrhizal-colonized tomato grown under heavy metal stress

2005 ◽  
Vol 162 (6) ◽  
pp. 634-649 ◽  
Author(s):  
Fouad Ouziad ◽  
Ulrich Hildebrandt ◽  
Elmon Schmelzer ◽  
Hermann Bothe
Keyword(s):  
Heavy Metal ◽  
Arbuscular Mycorrhizal ◽  
Heavy Metal Stress ◽  
Metal Stress ◽  
Gene Expressions ◽  
Differential Gene
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