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Engineering and Technology
Austria
2026

D-Index & Metrics

Engineering and Technology

D-Index
69
Citations
15620
World Ranking
1153
National Ranking
4

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in Austria Leader Award
  • 2025 - Research.com Engineering and Technology in Austria Leader Award
  • 2023 - Research.com Engineering and Technology in Austria Leader Award
  • 2022 - Research.com Engineering and Technology in Austria Leader Award

Overview

Linda See is affiliated with the International Institute for Applied Systems Analysis in Austria and specializes in the field of Environmental Science. Their work spans multiple subfields, including Global and Planetary Change, Ecology, Ecological Modeling, Environmental Engineering, and Geography, Planning and Development.

The scientist's research focuses on several key topics within environmental science. These include:

  • Land Use and Ecosystem Services
  • Species Distribution and Climate Change
  • Remote Sensing in Agriculture
  • Geographic Information Systems Studies
  • Remote Sensing and LiDAR Applications
  • Human Mobility and Location-Based Analysis
  • Conservation, Biodiversity, and Resource Management

Linda See has contributed to a number of publications in reputable scientific venues. Frequent publication outlets include:

  • Harvard Dataverse
  • Environment and Planning B Urban Analytics and City Science
  • Zenodo (CERN European Organization for Nuclear Research)
  • Scientific Data
  • IIASA PURE (International Institute of Applied Systems Analysis)

Several recent papers authored or co-authored by Linda See are as follows:

  • "Mapping citizen science contributions to the UN sustainable development goals," 2020, Sustainability Science
  • "A map of the extent and year of detection of oil palm plantations in Indonesia, Malaysia and Thailand," 2021, Scientific Data
  • "Russian forest sequesters substantially more carbon than previously reported," 2021, Scientific Reports
  • "Global forest management data for 2015 at a 100 m resolution," 2022, Scientific Data
  • "Addressing the need for improved land cover map products for policy support," 2020, Environmental Science & Policy

Linda See frequently collaborates with several researchers in their field. Notable co-authors include:

  • Steffen Fritz
  • Ian McCallum
  • Liangzhi You
  • Myroslava Lesiv
  • Dilek Fraisl

Best Publications

  • HydroTest: A web-based toolbox of evaluation metrics for the standardised assessment of hydrological forecasts

    C. W. Dawson;R. J. Abrahart;L. M. See

  • Agent-based Models of Geographical Systems

    Alison J. Heppenstall;Andrew T. Crooks;Linda M. See;Michael Batty

  • Global livestock production systems.

    T. Robinson;P. Thornton;G. Franceschini;R. Kruska

  • Comparing neural network and autoregressive moving average techniques for the provision of continuous river flow forecasts in two contrasting catchments

    Robert J. Abrahart;Linda See

  • Crowdsourcing, citizen science or volunteered geographic information? The current state of crowdsourced geographic information

    Linda See;Peter Mooney;Giles Foody;Lucy Bastin

  • Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting

    Robert J. Abrahart;François Anctil;Paulin Coulibaly;Christian W. Dawson

  • Data preprocessing for river flow forecasting using neural networks: Wavelet transforms and data partitioning

    Barbara Cannas;Alessandra Fanni;Linda See;Giuliana Sias

  • Data-Driven Modelling: Concepts, Approaches and Experiences

    D. Solomatine

  • A comparison of global agricultural monitoring systems and current gaps

    Steffen Fritz;Linda See;Juan Carlos Laso Bayas;François Waldner;François Waldner

  • Generating WUDAPT Level 0 data – Current status of production and evaluation

    Benjamin Bechtel;Paul J. Alexander;Christoph Beck;Jürgen Böhner

  • Land consolidation in Cyprus: Why is an Integrated Planning and Decision Support System required?

    Demetris Demetriou;John Stillwell;Linda See;Linda See

  • Highlighting continued uncertainty in global land cover maps for the user community

    Steffen Fritz;Linda See;Ian McCallum;Christian Schill;Christian Schill

  • Calibration of a fuzzy cellular automata model of urban dynamics in Saudi Arabia

    Khalid Al-Ahmadi;Linda See;Alison Heppenstall;James Hogg

  • A hybrid multi-model approach to river level forecasting

    Linda See;Stan Openshaw

  • Applying soft computing approaches to river level forecasting

    Linda See;Stan Openshaw

  • Crime reduction through simulation: An agent-based model of burglary

    Nick Malleson;Alison J. Heppenstall;Linda M. See

  • Comparison of global and regional land cover maps with statistical information for the agricultural domain in Africa

    Steffen Fritz;Linda See;Felix Rembold

  • City-descriptive input data for urban climate models: Model requirements, data sources and challenges

    Valéry Masson;Wieke Heldens;Erwan Bocher;Marion Bonhomme

  • Multi-model data fusion for river flow forecasting: an evaluation of six alternative methods based on two contrasting catchments

    Robert J. Abrahart;Linda See

  • Comparing the quality of crowdsourced data contributed by expert and non-experts.

    Linda See;Alexis John Comber;Carl Salk;Carl Salk;Steffen Fritz

  • Assessing the Accuracy of Volunteered Geographic Information arising from Multiple Contributors to an Internet Based Collaborative Project

    Giles M. Foody;L. See;S Fritz;M. Van der Velde

  • Global bioenergy scenarios – Future forest development, land-use implications, and trade-offs

    Florian Kraxner;Eva-Maria Nordström;Eva-Maria Nordström;Petr Havlík;Petr Havlík;Mykola Gusti;Mykola Gusti

  • Using control data to determine the reliability of volunteered geographic information about land cover

    Alexis J. Comber;Linda M. See;Steffen Fritz;Marijn Van der Velde

Frequent Co-Authors

Steffen Fritz
Steffen Fritz International Institute for Applied Systems Analysis
Ian McCallum
Ian McCallum International Institute for Applied Systems Analysis
Dmitry Schepaschenko
Dmitry Schepaschenko International Institute for Applied Systems Analysis
Michael Obersteiner
Michael Obersteiner University of Oxford
Florian Kraxner
Florian Kraxner International Institute for Applied Systems Analysis
Anatoly Shvidenko
Anatoly Shvidenko International Institute for Applied Systems Analysis
Liangzhi You
Liangzhi You International Food Policy Research Institute
Marijn van der Velde
Marijn van der Velde European Commission Joint Research Centre
Giles M. Foody
Giles M. Foody University of Nottingham
Alexis J. Comber
Alexis J. Comber University of Leeds

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