The Experts below are selected from a list of 66 Experts worldwide ranked by ideXlab platform

Pedro J J Alvarez - One of the best experts on this subject based on the ideXlab platform.

Dong Li - One of the best experts on this subject based on the ideXlab platform.

Q Ilin Li - One of the best experts on this subject based on the ideXlab platform.

Delina Y. Lyon - One of the best experts on this subject based on the ideXlab platform.

  • Effect of Soil sorption and aquatic natural organic matter on the antibacterial activity of a fullerene water suspension
    Environmental Toxicology and Chemistry, 2008
    Co-Authors: Dong Li, Q Ilin Li, Delina Y. Lyon, Pedro J J Alvarez
    Abstract:

    The present study investigated the association of a C60 water suspension (nC60) with natural organic matter, present as a Soil Constituent or dissolved in the water column, and its effect on the antibacterial activity of nC60. Sorption of nC60 to Soil reduced its bioavailability and antibacterial activity, and the sorption capacity strongly depended on the organic content of the Soil. Adsorption of aquatic dissolved humic substances onto nC60 and possible subsequent reactions also were found to eliminate nC60 toxicity at humic acid concentrations as low as 0.05 mg/L. These findings indicate that natural organic matter in the environment can mitigate significantly the potential impacts of nC60 on microbial activities that are important to ecosystem health.

Jonathan A. Greenberg - One of the best experts on this subject based on the ideXlab platform.

  • On the Feasibility of Characterizing Soil Properties From AVIRIS Data
    IEEE Transactions on Geoscience and Remote Sensing, 2015
    Co-Authors: Debsunder Dutta, Allison E. Goodwell, Praveen Kumar, James E. Garvey, Robert G. Darmody, David P. Berretta, Jonathan A. Greenberg
    Abstract:

    We evaluate the feasibility of quantifying surface Soil properties over large areas and at a fine spatial resolution using high-resolution airborne imaging spectroscopy. Airborne Visible Infrared Imaging Spectrometer (AVIRIS) data collected by the National Aeronautics and Space Administration immediately after the large 2011 Mississippi River flood at the Birds Point New Madrid (BPNM, ≈ 700 km2) flood way in Missouri, USA, was used in a data mining lasso framework for mapping of Soil textural properties such as percentages of sand, silt, clay, Soil-organic matter, and many other Soil chemicals Constituents. The modeling results show that the approach is feasible and provide insights in the accuracy and uncertainty of the approach for both Soil textural properties and chemical Constituents. These models were further used for a pixel-by-pixel prediction of each the Soil Constituent, resulting in high-resolution (7.6 m) quantitative spatial maps in the entire floodway. These maps reveal coherent spatial correlations with historical meander patterns of Mississippi River and fine-scale features such as erosional gullies, represented by difference in Constituent concentration, e.g., low Soil organic matter, with the underlying topography immediately disturbed by the large flooding event. Further, we have argued and established that the independent validation results are better represented as a probability density function as compared with a single calibration-validation set. It is also found that modeled Soil Constituents are sensitive to NDVI and the calibration sample sizes, and the results improve with stricter (lower) NDVI thresholds and larger calibration sets.