World's Best Scientists 2026 revealed!

D-Index & Metrics

Ecology and Evolution

D-Index
41
Citations
9880
World Ranking
5718
National Ranking
1951

Overview

Sean P. Healey is affiliated with the US Forest Service in the United States. Their research primarily focuses on environmental science with substantial contributions to subfields such as global and planetary change, environmental engineering, ecology, nature and landscape conservation, and ecological modeling.

Their work extensively covers topics related to remote sensing and LiDAR applications, remote sensing in agriculture, forest ecology and management, fire effects on ecosystems, forest management and policy, species distribution and climate change, and forest biomass utilization and management.

Sean P. Healey has published in a variety of scientific venues, with frequent publications appearing in:

  • Remote Sensing of Environment
  • Environmental Research Letters
  • SSRN Electronic Journal
  • Zenodo (CERN European Organization for Nuclear Research)
  • Remote Sensing

Their recent selected publications include the following:

  • The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth's forests and topography, 2020, Science of Remote Sensing
  • Fifty years of Landsat science and impacts, 2022, Remote Sensing of Environment
  • Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission, 2022, Remote Sensing of Environment
  • GEDI launches a new era of biomass inference from space, 2022, Environmental Research Letters
  • Need and vision for global medium-resolution Landsat and Sentinel-2 data products, 2023, Remote Sensing of Environment

They have collaborated frequently with a number of co-authors, including:

  • Zhiqiang Yang
  • John Armston
  • Laura Duncanson
  • Ralph Dubayah
  • Paul L. Patterson

Best Publications

  • The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth’s forests and topography

    Ralph Dubayah;James Bryan Blair;Scott Goetz;Lola Fatoyinbo

  • 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

  • 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

  • Benefits of the free and open Landsat data policy

    Zhe Zhu;Michael A. Wulder;David P. Roy;Curtis E. Woodcock

  • Bringing an ecological view of change to Landsat‐based remote sensing

    Robert E Kennedy;Serge Andréfouët;Warren B Cohen;Cristina Gómez

  • A LandTrendr multispectral ensemble for forest disturbance detection

    Warren B. Cohen;Zhiqiang Yang;Sean P. Healey;Robert E. Kennedy

  • Mapping forest change using stacked generalization: An ensemble approach

    Sean P. Healey;Warren B. Cohen;Zhiqiang Yang;C. Kenneth Brewer

  • Mapping wildfire and clearcut harvest disturbances in boreal forests with Landsat time series data

    Todd A. Schroeder;Michael A. Wulder;Sean P. Healey;Gretchen G. Moisen

  • GEDI launches a new era of biomass inference from space

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  • How Similar Are Forest Disturbance Maps Derived from Different Landsat Time Series Algorithms

    Warren B. Cohen;Sean P. Healey;Zhiqiang Yang;Stephen V. Stehman

  • Recent rates of forest harvest and conversion in North America

    Jeffrey G. Masek;Warren B. Cohen;Donald Leckie;Michael A. Wulder

  • Forest Disturbance and North American Carbon Flux

    Samuel N. Goward;Jeffrey G. Masek;Warren Cohen;Gretchen Moisen

  • Use of models in large-area forest surveys: comparing model-assisted, model-based and hybrid estimation

    Göran Ståhl;Svetlana Saarela;Sebastian Schnell;Sören Holm

  • Application of two regression-based methods to estimate the effects of partial harvest on forest structure using Landsat data

    Sean P. Healey;Zhiqiang Yang;Warren B. Cohen;D. John Pierce

  • The role of remote sensing in process-scaling studies of managed forest ecosystems

    Jeffrey G. Masek;Daniel J. Hayes;M. Joseph Hughes;Sean P. Healey

  • The national forest inventory in China: history - results - international context

    WeiSheng Zeng;Erkki Tomppo;Sean P. Healey;Klaus V. Gadow;Klaus V. Gadow;Klaus V. Gadow

  • The effect of a teak (Tectona grandis) plantation on the establishment of native species in an abandoned pasture in Costa Rica

    Sean P. Healey;Robert I. Gara

  • Using object‐oriented classification and high‐resolution imagery to map fuel types in a Mediterranean region

    Lara A. Arroyo;Sean P. Healey;Warren B. Cohen;David Cocero

  • Statistical properties of hybrid estimators proposed for GEDI – NASA’s Global Ecosystem Dynamics Investigation

    Paul L. Patterson;Sean P. Healey;Goran Stahl;Svetlana Saarela

  • Estimates of carbon stored in harvested wood products from the United States forest service northern region, 1906-2010

    Keith D Stockmann;Nathaniel M Anderson;Kenneth E Skog;Sean P Healey

  • The Relative Impact of Harvest and Fire upon Landscape-Level Dynamics of Older Forests: Lessons from the Northwest Forest Plan

    Sean P. Healey;Warren B. Cohen;Thomas A. Spies;Melinda Moeur

  • Northwest Forest Plan—the first 10 years (1994-2003): status and trend of late-successional and old-growth forest.

    Melinda Moeur;Thomas A. Spies;Miles Hemstrom;Jon R. Martin

Frequent Co-Authors

Warren B. Cohen
Warren B. Cohen Oregon State University
Robert E. Kennedy
Robert E. Kennedy Oregon State University
Zhiqiang Yang
Zhiqiang Yang United States Department of Agriculture
Chengquan Huang
Chengquan Huang University of Maryland, College Park
Ralph Dubayah
Ralph Dubayah University of Maryland, College Park
James R. Kellner
James R. Kellner Brown University
Zhe Zhu
Zhe Zhu University of Connecticut
Scott B. Luthcke
Scott B. Luthcke National Aeronautics and Space Administration
Michael A. Wulder
Michael A. Wulder Natural Resources Canada
Stephen V. Stehman
Stephen V. Stehman SUNY College of Environmental Science and Forestry

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