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

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

Published:2015-10-15 Issue:10 Volume:7 Page:13440-13447
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

Sun Liya,Schulz Karsten

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Link

http://www.mdpi.com/2072-4292/7/10/13440/pdf

Reference9 articles.

1. 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;Johnson;Remote Sens.,2015

2. The Improvement of Land Cover Classification by Thermal Remote Sensing

3. Assessing the Accuracy of Remotely Sensed Data: Principles and Practices;Congalton,2009

4. A review of assessing the accuracy of classifications of remotely sensed data

5. Status of land cover classification accuracy assessment

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evaluation of Feature Selection Methods for Object-Based Land Cover Mapping of Unmanned Aerial Vehicle Imagery Using Random Forest and Support Vector Machine Classifiers;ISPRS International Journal of Geo-Information;2017-02-18

2. 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;2016-03-26