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A weighted accuracy measure for land cover mapping : comment on Johnson et al. Local Climate Zone (LCZ) map accuracy assessments should account for land cover physical characteristics that affect the local thermal environment. Remote Sens. 2019, 11, 2420

Benjamin Bechtel, Matthias Demuzere (UGent) and Iain D. Stewart
(2020) REMOTE SENSING. 12(11).
Author
Organization
Abstract
In multi-class classification tasks such as land cover mapping, the achieved accuracies inherently depend on the complexity of the class typology. More specifically, the more complex the typology of (land cover) classes, the lower the resulting accuracies, since the common measures only consider whether a sample was correctly classified or not. To overcome this, a weighted accuracy measure was introduced in 2017 for the case of Local Climate Zone (LCZ) mapping. This method was recently criticized by Johnson and Jozdani and an alternative method was proposed. In this comment, we explain the weighted accuracy measure in more detail and reject the criticism. We show that the proposed method of Johnson and Jozdani is based on weakly supported assumptions. In addition, it is argued that the weighted accuracy is potentially a useful complementary measure beyond the LCZ classification case.
Keywords
Local Climate Zones, land cover mapping, accuracy assessment, multi-class classification, weighted accuracy

Citation

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MLA
Bechtel, Benjamin, et al. “A Weighted Accuracy Measure for Land Cover Mapping : Comment on Johnson et al. Local Climate Zone (LCZ) Map Accuracy Assessments Should Account for Land Cover Physical Characteristics That Affect the Local Thermal Environment. Remote Sens. 2019, 11, 2420.” REMOTE SENSING, vol. 12, no. 11, 2020, doi:10.3390/rs12111769.
APA
Bechtel, B., Demuzere, M., & Stewart, I. D. (2020). A weighted accuracy measure for land cover mapping : comment on Johnson et al. Local Climate Zone (LCZ) map accuracy assessments should account for land cover physical characteristics that affect the local thermal environment. Remote Sens. 2019, 11, 2420. https://doi.org/10.3390/rs12111769
Chicago author-date
Bechtel, Benjamin, Matthias Demuzere, and Iain D. Stewart. 2020. “A Weighted Accuracy Measure for Land Cover Mapping : Comment on Johnson et al. Local Climate Zone (LCZ) Map Accuracy Assessments Should Account for Land Cover Physical Characteristics That Affect the Local Thermal Environment. Remote Sens. 2019, 11, 2420.” REMOTE SENSING. https://doi.org/10.3390/rs12111769.
Chicago author-date (all authors)
Bechtel, Benjamin, Matthias Demuzere, and Iain D. Stewart. 2020. “A Weighted Accuracy Measure for Land Cover Mapping : Comment on Johnson et al. Local Climate Zone (LCZ) Map Accuracy Assessments Should Account for Land Cover Physical Characteristics That Affect the Local Thermal Environment. Remote Sens. 2019, 11, 2420.” REMOTE SENSING. doi:10.3390/rs12111769.
Vancouver
1.
Bechtel B, Demuzere M, Stewart ID. A weighted accuracy measure for land cover mapping : comment on Johnson et al. Local Climate Zone (LCZ) map accuracy assessments should account for land cover physical characteristics that affect the local thermal environment. Remote Sens. 2019, 11, 2420. Vol. 12, REMOTE SENSING. 2020.
IEEE
[1]
B. Bechtel, M. Demuzere, and I. D. Stewart, “A weighted accuracy measure for land cover mapping : comment on Johnson et al. Local Climate Zone (LCZ) map accuracy assessments should account for land cover physical characteristics that affect the local thermal environment. Remote Sens. 2019, 11, 2420,” REMOTE SENSING, vol. 12, no. 11. 2020.
@misc{8751357,
  abstract     = {{In multi-class classification tasks such as land cover mapping, the achieved accuracies inherently depend on the complexity of the class typology. More specifically, the more complex the typology of (land cover) classes, the lower the resulting accuracies, since the common measures only consider whether a sample was correctly classified or not. To overcome this, a weighted accuracy measure was introduced in 2017 for the case of Local Climate Zone (LCZ) mapping. This method was recently criticized by Johnson and Jozdani and an alternative method was proposed. In this comment, we explain the weighted accuracy measure in more detail and reject the criticism. We show that the proposed method of Johnson and Jozdani is based on weakly supported assumptions. In addition, it is argued that the weighted accuracy is potentially a useful complementary measure beyond the LCZ classification case.}},
  articleno    = {{1769}},
  author       = {{Bechtel, Benjamin and Demuzere, Matthias and Stewart, Iain D.}},
  issn         = {{2072-4292}},
  keywords     = {{Local Climate Zones,land cover mapping,accuracy assessment,multi-class classification,weighted accuracy}},
  language     = {{eng}},
  number       = {{11}},
  pages        = {{8}},
  series       = {{REMOTE SENSING}},
  title        = {{A weighted accuracy measure for land cover mapping : comment on Johnson et al. Local Climate Zone (LCZ) map accuracy assessments should account for land cover physical characteristics that affect the local thermal environment. Remote Sens. 2019, 11, 2420}},
  url          = {{http://doi.org/10.3390/rs12111769}},
  volume       = {{12}},
  year         = {{2020}},
}
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