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Geoffrey J. Hay

Geoffrey J. Hay

D-Index & Metrics

Engineering and Technology

D-Index
35
Citations
9333
World Ranking
8866
National Ranking
357

Overview

Geoffrey J. Hay is affiliated with the University of Calgary in Canada. Their research primarily spans the fields of Engineering and Environmental Science, covering various subfields including Media Technology, Artificial Intelligence, Ocean Engineering, Global and Planetary Change, and Ecology.

The scientist's work focuses on several main topics, with publications emphasizing Remote-Sensing Image Classification, Geochemistry and Geologic Mapping, Automated Road and Building Extraction, Land Use and Ecosystem Services, and Remote Sensing in Agriculture.

Hay has contributed to the academic literature through papers published in notable venues such as Remote Sensing and Remote Sensing of Environment. Two recent significant papers include "Geographic Object-Based Image Analysis: A Primer and Future Directions" (2020, Remote Sensing) and "UrbanWatch: A 1-meter resolution land cover and land use database for 22 major cities in the United States" (2022, Remote Sensing of Environment).

Frequent collaborators in Geoffrey J. Hay's research include:

  • Maja Kucharczyk
  • Salar Ghaffarian
  • Chris H. Hugenholtz
  • Yindan Zhang
  • Gang Chen

Publication venues featuring their work include:

  • Remote Sensing
  • Remote Sensing of Environment

Main fields of study are:

  • Engineering
  • Environmental Science

Subfields of study associated with their publications are:

  • Media Technology
  • Artificial Intelligence
  • Ocean Engineering
  • Global and Planetary Change
  • Ecology

The primary research topics addressed in their work are:

  • Remote-Sensing Image Classification
  • Geochemistry and Geologic Mapping
  • Automated Road and Building Extraction
  • Land Use and Ecosystem Services
  • Remote Sensing in Agriculture

Best Publications

  • Geographic Object-Based Image Analysis - Towards a new paradigm.

    Thomas Blaschke;Geoffrey J. Hay;Maggi Kelly;Stefan Lang

  • Geographic Object-Based Image Analysis (GEOBIA): A new name for a new discipline

    G. J. Hay;G. Castilla

  • Object-based change detection

    Gang Chen;Geoffrey J. Hay;Luis M. T. Carvalho;Michael A. Wulder

  • A comparison of three image-object methods for the multiscale analysis of landscape structure

    Geoffrey J. Hay;Thomas Blaschke;Danielle J. Marceau;André Bouchard

  • Object-Based Image Analysis: Spatial Concepts for Knowledge-Driven Remote Sensing Applications

    Thomas Blaschke;Stefan Lang;Geoffrey J. Hay

  • An automated object-based approach for the multiscale image segmentation of forest scenes

    Geoffrey J. Hay;Guillermo Castilla;Michael A. Wulder;Jose R. Ruiz

  • Remote Sensing Contributions to the Scale Issue

    Danielle J. Marceau;Geoffrey J. Hay

  • A multiscale framework for landscape analysis: object-specific analysis and upscaling

    G.J. Hay;D.J. Marceau;P. Dubé;A. Bouchard

  • Geographic object-based image analysis (GEOBIA): emerging trends and future opportunities

    Gang Chen;Qihao Weng;Geoffrey J. Hay;Yinan He

  • Object-Based Image Analysis

    Thomas Blaschke;Stefan Lang;Geoffrey J. Hay

  • Free and open source geographic information tools for landscape ecology

    Stefan Steiniger;Geoffrey J. Hay

  • An object-specific image-texture analysis of H-resolution forest imagery☆

    G.J. Hay;K.O. Niemann;G.F. McLean

  • A Multiscale Object-Specific Approach to Digital Change Detection

    Ola Hall;Geoffrey J Hay

  • Image objects and geographic objects

    G. Castilla;G. J. Hay

  • Spatial thresholds, image-objects, and upscaling: a multiscale evaluation.

    G.J. Hay;K.O. Niernann;D.G. Goodenough

  • Collective Sensing: Integrating Geospatial Technologies to Understand Urban Systems—An Overview

    Thomas Blaschke;Geoffrey J. Hay;Qihao Weng;Bernd Resch

  • Object-oriented image analysis and scale-space: Theory and methods for modeling and evaluating multi-scale landscape structure

    Thomas Blaschke;G Hay

  • Retention performance of green roofs in three different climate regions.

    Andrew W. Sims;Andrew W. Sims;Clare E. Robinson;Charles C. Smart;James A. Voogt

  • A scale-space primer for exploring and quantifying complex landscapes

    G.J. Hay;P. Dubé;A. Bouchard;D.J. Marceau

  • Development of a pit filling algorithm for LiDAR canopy height models

    Joshua R. Ben-Arie;Geoffrey J. Hay;Ryan P. Powers;Guillermo Castilla

  • Detecting dominant landscape objects through multiple scales: An integration of object-specific methods and watershed segmentation

    Ola Hall;Geoffrey J. Hay;André Bouchard;Danielle J. Marceau

Frequent Co-Authors

Thomas Blaschke
Thomas Blaschke University of Salzburg
André Bouchard
André Bouchard University of Montreal
Michael A. Wulder
Michael A. Wulder Natural Resources Canada
Dirk Tiede
Dirk Tiede University of Salzburg
Qihao Weng
Qihao Weng Hong Kong Polytechnic University
Joanne C. White
Joanne C. White Natural Resources Canada
James A. Voogt
James A. Voogt University of Western Ontario
Kaiguang Zhao
Kaiguang Zhao The Ohio State University
Simon Stewart
Simon Stewart Saudi Aramco (United States)
Chris H. Hugenholtz
Chris H. Hugenholtz University of Calgary

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