World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
96
Citations
43832
World Ranking
451
National Ranking
206

Overview

Warren B. Cohen is affiliated with Oregon State University in the United States. Their research primarily falls within Environmental Science, with a focus on subfields including Global and Planetary Change, Ecology, Environmental Engineering, Forestry, and Nature and Landscape Conservation.

Their work covers a range of topics related to ecosystems and environmental monitoring. Major topics include Fire effects on ecosystems, Remote Sensing and LiDAR Applications, Remote Sensing in Agriculture, Land Use and Ecosystem Services, Conservation, Biodiversity, and Resource Management, African Botany and Ecology Studies, and Ecology and Vegetation Dynamics Studies.

Warren B. Cohen has contributed to several recent scientific papers, which highlight their involvement in remote sensing and ecosystem research. Notable publications include:

  • Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission, 2022, Remote Sensing of Environment
  • Three Decades of Land Cover Change in East Africa, 2021, Land
  • Diversity of Algorithm and Spectral Band Inputs Improves Landsat Monitoring of Forest Disturbance, 2020, Remote Sensing
  • Using a trait-based approach to assess fire resistance in forest landscapes of the Inland Northwest, USA, 2022, Landscape Ecology
  • Corrigendum to continuous monitoring of land disturbance based on Landsat time series, Remote Sensing of Environment, 2020

The frequent co-authors that collaborate with Warren B. Cohen include:

  • Sean P. Healey
  • Hans-Erik Andersen
  • Zhiqiang Yang
  • Noel Gorelick
  • Zhe Zhu

Warren B. Cohen's research has been published predominantly in journals such as Remote Sensing of Environment, Land, Remote Sensing, Landscape Ecology, and the Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics.

Best Publications

  • Landsat-8: Science and Product Vision for Terrestrial Global Change Research

    David P. Roy;M.A. Wulder;Thomas R. Loveland;C.E. Woodcock

  • Lidar Remote Sensing for Ecosystem Studies

    Michael A. Lefsky;Warren B. Cohen;Geoffrey G. Parker;David J. Harding

  • Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms

    Robert E. Kennedy;Zhiqiang Yang;Warren B. Cohen

  • Opening the archive: How free data has enabled the science and monitoring promise of Landsat

    Michael A. Wulder;Jeffrey G. Masek;Warren B. Cohen;Thomas R. Loveland

  • Lidar Remote Sensing of the Canopy Structure and Biophysical Properties of Douglas-Fir Western Hemlock Forests

    M.A. Lefsky;W.B. Cohen;S.A. Acker;G.G. Parker

  • Landsat's Role in Ecological Applications of Remote Sensing

    Warren B. Cohen;Samuel N. Goward

  • Free access to Landsat imagery.

    Curtis E. Woodcock;Richard Allen;Martha Anderson;Alan Belward

  • Current status of Landsat program, science, and applications

    Michael A. Wulder;Thomas R. Loveland;David P. Roy;Christopher J. Crawford

  • Evaluation of MODIS NPP and GPP products across multiple biomes.

    David P. Turner;William D. Ritts;Warren B. Cohen;Stith T. Gower

  • Relationships between leaf area index and Landsat TM spectral vegetation indices across three temperate zone sites

    David P. Turner;Warren B. Cohen;Robert E. Kennedy;Karin S. Fassnacht

  • The global Landsat archive: Status, consolidation, and direction

    Michael A. Wulder;Joanne C. White;Thomas R. Loveland;Curtis E. Woodcock

  • Surface lidar remote sensing of basal area and biomass in deciduous forests of eastern Maryland, USA

    M. A. Lefsky;D. Harding;W. B. Cohen;Geoffrey G. Parker

  • Estimates of forest canopy height and aboveground biomass using ICESat

    Michael A. Lefsky;David J. Harding;Michael Keller;Michael Keller;Warren B. Cohen

  • Landsat continuity: Issues and opportunities for land cover monitoring

    Michael A. Wulder;Joanne C. White;Samuel N. Goward;Jeffrey G. Masek

  • Comparison of Tasseled Cap-based Landsat data structures for use in forest disturbance detection

    Sean P. Healey;Warren B. Cohen;Yang Zhiqiang;Olga N. Krankina

  • Lidar remote sensing of above‐ground biomass in three biomes

    Michael A. Lefsky;Warren B. Cohen;David J. Harding;Geoffrey G. Parker

  • Estimating structural attributes of Douglas-fir/western hemlock forest stands from Landsat and SPOT imagery

    Warren B. Cohen;Thomas A. Spies

  • Detecting trends in forest disturbance and recovery using yearly Landsat time series: 2. TimeSync — Tools for calibration and validation

    Warren B. Cohen;Zhiqiang Yang;Robert Kennedy

  • Quantification of live aboveground forest biomass dynamics with Landsat time-series and field inventory data: A comparison of empirical modeling approaches

    Scott L. Powell;Warren B. Cohen;Sean P. Healey;Robert E. Kennedy

  • An improved strategy for regression of biophysical variables and Landsat ETM+ data.

    Warren B. Cohen;Thomas K. Maiersperger;Stith T. Gower;David P. Turner

Frequent Co-Authors

Robert E. Kennedy
Robert E. Kennedy Oregon State University
Zhiqiang Yang
Zhiqiang Yang United States Department of Agriculture
Sean P. Healey
Sean P. Healey US Forest Service
Jeffrey G. Masek
Jeffrey G. Masek Goddard Space Flight Center
Chengquan Huang
Chengquan Huang University of Maryland, College Park
David P. Turner
David P. Turner Oregon State University
Michael A. Lefsky
Michael A. Lefsky Colorado State University
Dirk Pflugmacher
Dirk Pflugmacher Humboldt-Universität zu Berlin
Thomas A. Spies
Thomas A. Spies US Forest Service
Samuel N. Goward
Samuel N. Goward University of Maryland, College Park

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