We must all pay more attention to rigor in accuracy assessment: Additional comment to "The improvement of land cover classification by thermal remote sensing". Remote Sens. 2015, 7, 8368-8390

Remote Sensing

Volumn 8, Issue 4, 2016, Pages

  Castilla, Guillermo ^a  

^a LAURENTIAN FORESTRY CENTRE   (Canada)

Author keywords

Accuracy assessment; Land cover mapping; Statistical rigor

Indexed keywords

EID: 84971624669     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs8040288     Document Type: Note

References (9)

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2. Sun, L.; Schulz, K. The improvement of land cover classification by thermal remote sensing. Remote Sens. 2015, 7, 8368-8390.
3. Johnson, B.A. Scale issues related to the accuracy assessment of land use/land cover maps produced using multi-resolution data: Comments on "the improvement of land cover classification by thermal remote sensing". Remote Sens. 2015, 7, 8368-8390.
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5. Sun, L.; Schulz, K. Response to Johnson B.A. Scale Issues Related to the Accuracy Assessment of Land Use/Land Cover Maps Produced Using Multi-Resolution Data: Comments on "The Improvement of Land Cover Classification by Thermal Remote Sensing". Remote Sens. 2015, 7, 8368-8390.
6. Sun, L.; Schulz, K. Response to Johnson B.A. Scale Issues Related to the Accuracy Assessment of Land Use/Land Cover Maps Produced Using Multi-Resolution Data: Comments on "The Improvement of Land Cover Classification by Thermal Remote Sensing". Remote Sens. 2015, 7, 13440-13447.
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8. Castilla, G.; Hernando-Gallego, A.; Zang, C.; Mazumdar, D.; Macdermic, G.J. An integrated framework for assessing the accuracy of GEOBIA landcover products. In Proceedings of the 4th GEOBIA conference, Rio de Janeiro, Brazil; 2012; pp. 572-575. Available online: http://mtc-m16c.sid.inpe.br/col/sid.inpe.br/mtc-m18/2012/05.14.13.38/doc/158.pdf (accessed on 10 February 2016).
9. Stehman, S.V.; Czaplewski, R.L. Design and analysis for thematic map accuracy assessment: Fundamental principles. Remote Sens. Environ. 1998, 64, 331-344.