Remote sensing of soybean stress as an indicator of chemical concentration of biosolid amended surface soils

Sridhar, B. B. Maruthi; Vincent, Robert K.; Roberts, Sheila J.; Czajkowski, Kevin

doi:10.1016/j.jag.2011.04.005

Cited by 42 publications

(27 citation statements)

References 26 publications

(40 reference statements)

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“…Heavy metal accumulation and uptake in different crop plants grown in biosolidamended soils have been widely reported. Particularly, Reddy et al (Reddy et al 1989), McBride et al (McBride et al 2000), O'Connor et al (O'Connor et al 2001), and Sridhar et al (Sridhar et al 2011) have shown higher concentration of metals in soybeans grown on sludge-amended soils.…”

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confidence: 97%

“…Plants differ in their sensitivity to the nutrient and metal concentrations found in the biosolids and show variable responses through their changes in pigment concentration, water content, dry weight, and growth (Sridhar et al 2011). All these changes in plant characteristics results in distinct light absorption and reflectance characteristics of the plants which can be used as an indicator of soil contamination and the physiological status of the plant.…”

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confidence: 99%

“…All these changes in plant characteristics results in distinct light absorption and reflectance characteristics of the plants which can be used as an indicator of soil contamination and the physiological status of the plant. Several studies have demonstrated that metal and nutrient stress in plants cause changes in the spectral reflectance of the vegetation (Milton et al 1989;Kooistra et al 2004;Su et al 2007;Sridhar et al 2007a;Sridhar et al 2007b;Sridhar et al 2009;Sridhar et al 2011). In general, the plant spectral response varies with soil and plant type under study, level of soil contamination, and the sensitivity of the plant to different metal concentrations.…”

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confidence: 99%

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Effect of Biosolid Amendments on the Metal and Nutrient Uptake and Spectral Characteristics of Five Vegetable Plants

Sridhar

Witter

et al. 2014

Water Air Soil Pollut

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The accumulation of metals and nutrients in biosolid-amended soils and the risk of their excess uptake by plants is a topic of great concern. This study examines the elemental uptake and accumulation in five vegetable plants grown on biosolid-applied soils and the use of spectral reflectance to monitor the resulting plant stress. Soil, shoot, root, and fruit samples were collected and analyzed for several elemental concentrations. The chemical concentrations in soils and all the plant parts increased with increase in applied biosolid concentrations. The Cu and Zn concentrations in the plant shoots increased in the order of collard

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Effect of Biosolid Amendments on the Metal and Nutrient Uptake and Spectral Characteristics of Five Vegetable Plants

Sridhar

Witter

et al. 2014

Water Air Soil Pollut

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“…Some studies show that the heavy metal ions can influence the cell structure of plants and cause changes in physiological function, affecting the normal growth of crops [6,7]. Significantly, these changes can impair crop photosynthesis by affecting activity of photosynthetic enzymes and pigment content (chlorophyll) [8][9][10][11]. The fraction of absorbed photosynthetically active radiation (FAPAR), defined as the fraction of photosynthetically active radiation (PAR) absorbed by a green canopy in the 0.4-0.7 µm spectral range, has been proven to be effective for quantitative estimation of canopy analyze spatial-temporal variation in FAPAR based on the coupled model under different heavy metal conditions.…”

Section: Introductionmentioning

confidence: 99%

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

Zhou¹,

Liu²,

Zhao³

et al. 2017

Remote Sensing

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Timely assessment of crop growth conditions under heavy metal pollution is of great significance for agricultural decision-making and estimation of crop productivity. The object of this study is to assess the effects of heavy metal stress on physiological functions of rice through the spatial-temporal analysis of the fraction of absorbed photosynthetically active radiation (FAPAR). The calculation of daily FAPAR is conducted based on a coupled model consisting of the leaf-canopy radiative transfer model and World Food Study Model (WOFOST). These two models are connected by leaf area index (LAI) and a fraction of diffused incoming solar radiation (SKYL) in the rice growth period. The input parameters of the coupled model are obtained from measured data and GF-1 images. Meanwhile, in order to improve accuracy of FAPAR, the crop growth model is optimized by data assimilation. The validation result shows that the correlation between the simulated FAPAR and the measured data is strong in the rice growth period, with the correlation coefficients being above 7.5 for two areas. The discrepancy of FAPAR between two areas of different stress levels is visualized by spatial-temporal analysis. FAPAR discrepancy starts to appear in the jointing-booting period and experiences a gradual rise, reaching its maximum in the heading-flowering stage. This study suggests that the coupled model, consisting of the leaf-canopy radiative transfer model and the WOFOST model, is able to accurately simulate daily FAPAR during crop growth period and FAPAR can be used as a potential indicator to reflect the impact of heavy metal stress on crop growth.

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“…Remote sensing has become an essential tool for moni-toring and quantifying crop stress due to biotic and abiotic factors [20][21][22][23][24][25][26]. Results from greenhouse and field studies have shown that it is possible to observe and quantify changes in crop health using remote sensing over the course of a growing season [27][28][29][30][31][32][33].…”

Section: Introductionmentioning

confidence: 99%

Remote Monitoring of Wheat Streak Mosaic Progression Using Sub-Pixel Classification of Landsat 5 TM Imagery for Site Specific Disease Management in Winter Wheat

Mırık¹,

Ansley²,

Price³

et al. 2013

ARS

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Wheat streak mosaic (WSM), caused by Wheat streak mosaic virus is a viral disease that affects wheat (Triticum aestivum L.), other grains, and numerous grasses over large geographical areas around the world. To improve disease management and crop production, it is essential to have adequate methods for monitoring disease epidemics at various scales and multiple times. Remote sensing has become an essential tool for monitoring and quantifying crop stress due to biotic and abiotic factors. The objective of our study was to explore the utility of Landsat 5 TM imagery for detecting, quantifying, and mapping the occurrence of WSM in irrigated commercial wheat fields. The infection and progression of WSM was biweekly assessed in the Texas Panhandle during the 2007-2008 crop years. Diseased-wheat was separated from uninfected wheat on the images using a sub-pixel classifier. The overall classification accuracies were >91% with kappa coefficient between 0.80 and 0.94 for disease detection were achieved. Omission errors varied between 2% and 14%, while commission errors ranged from 1% to 21%. These results indicate that the TM image can be used to accurately detect and quantify disease for site-specific WSM management. Remote detection of WSM using geospatial imagery may substantially improve monitoring, planning, and management practices by overcoming some of the shortcomings of the ground-based surveys such as observer bias and inaccessibility. Remote sensing techniques for accurate disease mapping offer a unique set of advantages including repeatability, large area coverage, and cost-effectiveness over the ground-based methods. Hence, remote detection is particularly and practically critical for repeated disease monitoring and mapping over time and space during the course of a growing season.

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Remote sensing of soybean stress as an indicator of chemical concentration of biosolid amended surface soils

Cited by 42 publications

References 26 publications

Effect of Biosolid Amendments on the Metal and Nutrient Uptake and Spectral Characteristics of Five Vegetable Plants

Effect of Biosolid Amendments on the Metal and Nutrient Uptake and Spectral Characteristics of Five Vegetable Plants

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

Remote Monitoring of Wheat Streak Mosaic Progression Using Sub-Pixel Classification of Landsat 5 TM Imagery for Site Specific Disease Management in Winter Wheat

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