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February 12, 2026Progress in Physical Geography Earth and Environment0 citations

More Accurate Less Meaningful? Exposing epistemological, practical, and technoethical deficiencies in remote sensing land use analyses through critical examination of my own results

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ABAndreas Christian Braun

Key Points

  • To examine the limitations of remote sensing land use analyses and propose improved research practices.
  • Critically analyze previously published classification approaches in remote sensing.
  • Deconstruct methodology to identify epistemological and ethical deficiencies.
  • Propose a refined set of practices for future remote sensing analyses.
  • Identified three key areas where remote sensing fails: epistemological foundations, reflexive practice, and critical technoethics.
  • Highlighted the socio-technical factors that influence remote sensing results.
  • Outlined practical suggestions for improving remote sensing methodologies.

Abstract

Remote sensing land use analyses are an indispensable method for geography, environmental science, and earth system science. Against the backdrop of the increasing climate and environmental crisis, these disciplines and their methods are gaining enormous importance in environmental policy. However, they often have a weak epistemological basis. While they are frequently viewed as technical and objective results, they are in fact the result of socio-technical practices in which the values, decisions, and practices of the creator are inextricably interwoven. This misinterpretation can lead environmental managers to place too much trust in remote sensing’s claims about the world. In two recent articles, I have both demonstrated and theoretically framed the importance of practices and values in land use mapping and shown that remote sensing often fails in three respects. First, it overlooks the importance of epistemological foundations; second, it overlooks the importance of reflexive research practice; and third, it lacks a critical technoethics. An important but still missing step in this argument is to use a concrete research example to reveal what these deficiencies look like and to make practical suggestions as to how they can be remedied. In this article, I thus deconstruct and critique one of my own published classification approaches and outline a better set of research practices for future remote sensing.

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Cite This Study

Andreas Christian Braun (2026) studied this question.

synapsesocial.com/papers/698d6e5a5be6419ac0d53fe6https://doi.org/10.1177/03091333261425139
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