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The impact of fractional cover distribution in training samples on the accuracy of fractional cover estimation:a model-based evaluation

Rujia Wang Chen Shi

地球空间信息科学学报(英文版)2026,Vol.29Issue(1):中插18,374-412,40.
地球空间信息科学学报(英文版)2026,Vol.29Issue(1):中插18,374-412,40.DOI:10.1080/10095020.2025.2514815

The impact of fractional cover distribution in training samples on the accuracy of fractional cover estimation:a model-based evaluation

The impact of fractional cover distribution in training samples on the accuracy of fractional cover estimation:a model-based evaluation

Rujia Wang 1Chen Shi1

作者信息

  • 1. College of Resource Environment and Tourism,Capital Normal University,Beijing,China
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摘要

关键词

Machine learning/fractional cover estimation,distribution similarity measures/training samples/random forest regression

Key words

Machine learning/fractional cover estimation,distribution similarity measures/training samples/random forest regression

引用本文复制引用

Rujia Wang,Chen Shi..The impact of fractional cover distribution in training samples on the accuracy of fractional cover estimation:a model-based evaluation[J].地球空间信息科学学报(英文版),2026,29(1):中插18,374-412,40.

基金项目

This work is supported by the National Natural Science Foundation of China[Grant No.41601363]and the Youth Beijing Scholars program[Grant No.092]. ()

地球空间信息科学学报(英文版)

1009-5020

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