A weighted accuracy measure for land cover mapping
- 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.
| Author: | Benjamin BechtelORCiDGND, Matthias DemuzereORCiDGND, Iain D. StewartGND |
|---|---|
| URN: | urn:nbn:de:hbz:294-74497 |
| DOI: | https://doi.org/10.3390/rs12111769 |
| Parent Title (English): | Remote sensing |
| Subtitle (English): | 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 |
| Publisher: | MDPI |
| Place of publication: | Basel |
| Document Type: | Article |
| Language: | English |
| Date of Publication (online): | 2020/08/14 |
| Date of first Publication: | 2020/05/31 |
| Publishing Institution: | Ruhr-Universität Bochum, Universitätsbibliothek |
| Tag: | Local Climate Zones; accuracy assessment; land cover mapping; multi-class classification; weighted accuracy |
| Volume: | 12 |
| Issue: | 11, Article 1769 |
| First Page: | 1769-1 |
| Last Page: | 1769-8 |
| Institutes/Facilities: | Geographisches Institut |
| open_access (DINI-Set): | open_access |
| faculties: | Fakultät für Geowissenschaften |
| Licence (English): |  Creative Commons - CC BY 4.0 - Attribution 4.0 International |
