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Environmental Sciences

D-Index
51
Citations
11959
World Ranking
4677
National Ranking
1727

Overview

John R. Jensen is affiliated with the University of South Carolina in the United States. Their research spans several disciplines within environmental science and biochemistry, genetics, and molecular biology, with a focus on processes related to biomass conversion, biofuel production, and environmental impacts of pollutants.

Their recent publications include the following works:

  • Fractionation of sugar beet pulp polysaccharides into component sugars and pre-feasibility analysis for further valorisation (2022), published in Biomass Conversion and Biorefinery
  • Impact of sugar beet texture during processing (2023), published in Sugar Industry
  • Nontarget Analysis of Drinking Water from Danish Waterworks: Profiling of Organic Micropollutants and Health Risk Screening (2025), published in ACS ES&T Water
  • Investigating Biofilm Resilience in Constructed Wetland: Responses to Hexachlorocyclohexane (2025), published in SSRN Electronic Journal

Frequent co-authors collaborating with Jensen include:

  • Sara Jonsdottir Glaser
  • Omar Y. Abdelaziz
  • Corentin Demoitié
  • Mats Galbe
  • Sang-Hyun Pyo

Jensen has contributed to book publications, notably with King's College London, where a work titled Miljørisikoanalyse: fremsyn, klarsyn og oplyst miljøbeslutning was published in 2021.

Key fields of study associated with Jensen's work include:

  • Environmental Science
  • Biochemistry, Genetics and Molecular Biology

Subfields of their research cover:

  • Biomedical Engineering
  • Molecular Biology
  • Health, Toxicology and Mutagenesis
  • Plant Science
  • Pollution

Main research topics focus on:

  • Biofuel production and bioconversion
  • Enzyme Catalysis and Immobilization
  • Catalysis for Biomass Conversion
  • Sugarcane Cultivation and Processing
  • Water Treatment and Disinfection
  • Pharmaceutical and Antibiotic Environmental Impacts
  • Toxic Organic Pollutants Impact

Jensen regularly publishes in multiple venues related to their fields, including:

  • Biomass Conversion and Biorefinery
  • Sugar Industry
  • ACS ES&T Water
  • SSRN Electronic Journal

Best Publications

  • Remote Sensing of the Environment: An Earth Resource Perspective

    John R. Jensen

  • Remote Sensing of Urban/Suburban Infrastructure and Socio-Economic Attributes

    John R. Jensen;Dave C. Cowen

  • Object-based change detection using correlation image analysis and image segmentation

    J. Im;J. R. Jensen;J. A. Tullis

  • A change detection model based on neighborhood correlation image analysis and decision tree classification

    Jungho Im;John R. Jensen

  • An evaluation of LIDAR- and IFSAR-derived digital elevation models in leaf-on conditions with USGS Level 1 and Level 2 DEMs

    Michael E Hodgson;John R Jensen;Laura Schmidt;Steve Schill

  • Synergistic Use of Lidar and Color Aerial Photography for Mapping Urban Parcel Imperviousness

    Michael E. Hodgson;John R. Jensen;Jason A. Tullis;Kevin D. Riordan

  • An Evaluation of Lidar-derived Elevation and Terrain Slope in Leaf-off Conditions

    Michael E. Hodgson;John Jensen;George T. Raber;Jason Tullis

  • Inland wetland change detection using aircraft MSS data

    J. R. Jensen;E. W. Ramsey;H. E. Mackey;E. J. Christensen

  • Effectiveness of Subpixel Analysis in Detecting and Quantifying Urban Imperviousness from Landsat Thematic Mapper Imagery

    Minhe Ji;John R. Jensen

  • Biophysical Remote Sensing

    John R. Jensen

  • Remote Sensing of Mangrove Wetlands: Relating Canopy Spectra to Site-Specific Data

    E. W. I. I. I. Ramsey;J. R. Jensen

  • Predictive modelling of coniferous forest age using statistical and artificial neural network approaches applied to remote sensor data

    J. R. Jensen;Fang Qiu;Minhe Ji

  • Remote sensing inland wetlands: a multispectral approach

    J. R. Jensen;M. E. Hodgson;E. Christensen;H. E. Mackey

  • Fuzzy learning vector quantization for hyperspectral coastal vegetation classification

    Anthony M. Filippi;John R. Jensen

  • Speckle Noise Reduction in SAR Imagery Using a Local Adaptive Median Filter

    Fang Qiu;Judith Berglund;John R. Jensen;Pathik Thakkar

  • A Machine-Learning Approach to Automated Knowledge-Base Building for Remote Sensing Image Analysis with GIs Data

    Xueqiao Huang;John R. Jensen

  • Integrating LIDAR elevation data, multi¿spectral imagery and neural network modelling for marsh characterization

    James T. Morris;Dwayne Porter;Matt Neet;Peter A. Noble

  • Impact of Lidar Nominal Post-spacing on DEM Accuracy and Flood Zone Delineation

    George T. Raber;John R. Jensen;Michael E. Hodgson;Jason A. Tullis

  • The Lunar Mini-RF Radars: Hybrid Polarimetric Architecture and Initial Results

    R K Raney;P D Spudis;B Bussey;J Crusan

  • The measurement of mangrove characteristics in southwest Florida using spot multispectral data

    John R. Jensen;Hongyue Lin;Xinghe Yang;Elijah Ramsey

  • Creation of digital terrain models using an adaptive lidar vegetation point removal process

    K. Schuckman;G. T. Raber;John R. Jensen;S. R. Schill

  • Hyperspectral Remote Sensing of Vegetation

    Jungho Im;John R. Jensen

Frequent Co-Authors

Jungho Im
Jungho Im Ulsan National Institute of Science and Technology
Adam T. Woolley
Adam T. Woolley Brigham Young University
Mark D. Coleman
Mark D. Coleman University of Idaho
William B. Krabill
William B. Krabill Goddard Space Flight Center
James T. Morris
James T. Morris University of South Carolina
Björn Kjerfve
Björn Kjerfve University of South Carolina
James B. Garvin
James B. Garvin Goddard Space Flight Center
George C. Hurtt
George C. Hurtt University of Maryland, College Park
Samuel N. Goward
Samuel N. Goward University of Maryland, College Park
Chris Rizos
Chris Rizos University of New South Wales

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