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Michael J. Campbell

University of Utah

1645 E. Campus Center

Salt Lake City, UT 84112

United States

SCHOLARLY PAPERS

3

DOWNLOADS

167

TOTAL CITATIONS

3

Scholarly Papers (3)

1.

Design and Performance of the Climate Change Initiative Biomass Global Retrieval Algorithm

Number of pages: 73 Posted: 18 Jul 2024
affiliation not provided to SSRN, affiliation not provided to SSRN, University of Sheffield, Aberystwyth University, Aberystwyth University, Wageningen University, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Toulouse 3, Paul Sabatier University - Laboratoire Évolution & Diversité Biologique - UMR 5174 (EDB), Japan Aerospace Exploration Agency (JAXA), Japan Aerospace Exploration Agency, Remote Sensing Technology Center of Japan, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Helsinki, University of Sheffield, University of Utah, University of Zagreb, The University of Manchester, Institute of Space Technology, affiliation not provided to SSRN, Central University of Jharkhand, University College London, Purdue University, Space Intelligence, Satellite Applications Catapult Company Ltd, University of Leeds, University of Edinburgh, affiliation not provided to SSRN, International Institute of Applied Systems Analysis (IIASA), affiliation not provided to SSRN, Ghent University, affiliation not provided to SSRN, affiliation not provided to SSRN, Bangor University and European Space Agency
Downloads 108 (649,907)
Citation 3

Abstract:

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above-ground biomass, carbon, forest, synthetic aperture radar, backscatter, Sentinel-1, ALOS-2 PALSAR-2, LiDAR, ICESat GLAS, ICESat-2 ATLAS, retrieval

2.

Geolces: Geospatial Support for Evaluating Wildland Firefighter Lookouts, Communications, Escape Routes, and Safety Zones

Number of pages: 32 Posted: 30 Apr 2025
University of Utah, affiliation not provided to SSRN, USDA Forest Service and University of Utah
Downloads 37 (1,222,651)

Abstract:

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Wildland fire, decision support, Firefighter Safety, lidar, LCES, geospatial modeling

3.

A Multivariate Machine Learning Framework for Fractional Cover Estimation

Number of pages: 17 Posted: 30 Mar 2026
Michael J. Campbell, Brian Lamb and Philip E. Dennison
University of Utah, Government of the United States of America - US Geological Survey and University of Utah
Downloads 22 (1,436,435)

Abstract:

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Machine Learning, multivariate random forests, spectral mixture analysis, fractional cover, Hyperspectral Remote Sensing