Diagnosis of the accuracy of land cover classification using bootstrap resampling-Reference-Cited by-同舟云学术

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Diagnosis of the accuracy of land cover classification using bootstrap resampling

Published:2024-06-05 Issue:12 Volume:45 Page:3897-3912
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Yang Tong¹²^ORCID,Han Binghong³^ORCID,He Xiaofei³^ORCID,Ye Ziqi¹²^ORCID,Tang Yongli¹²^ORCID,Lin Jiexin¹²^ORCID,Cui Xia¹²,Bi Jian¹²^ORCID

Affiliation:

1. College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, Gansu, China

2. Key Laboratory of Western China’s Environmental Systems, Ministry of Education (MOE), Lanzhou, Gansu, China

3. State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu, China

Funder

Chinese Academy of Engineering

Lanzhou University

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2024.2358546

Reference37 articles.

1. A bootstrap method for assessing classification accuracy and confidence for agricultural land use mapping in Canada

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

3. Classification management for grassland using MODIS data: a case study in the Gannan region, China

4. Monitoring Annual Land Use/Land Cover Change in the Tucson Metropolitan Area with Google Earth Engine (1986–2020)

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