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Selecting the right samples rather than more samples: A new spectral-environmental similarity strategy for local soil spectral modeling

文献类型：期刊论文

作者Li, Liangyi2; Zhang, Zipeng2; Sun, Minglu2; Ding, Jianli1,7; Wang, Jingzhe6; Xu, Dong4; Huang, Yuanyuan3,5
刊名GEODERMA
出版日期2026-03-01
卷号467页码:117710
关键词Third law of geography Environmental similarity Soil spectral library Soil organic carbon
ISSN号0016-7061
DOI10.1016/j.geoderma.2026.117710
产权排序6
文献子类Article
英文摘要Addressing the dual challenges of limited sample size and high environmental heterogeneity in small-scale soil organic carbon (SOC) spectral modeling, this study proposes a fundamental hypothesis: selecting samples that are similar to the target region in both spectral features and environmental characteristics is more effective for improving prediction accuracy and stability. Based on this assumption, we developed a synergistic sample transfer strategy that integrates spectral similarity with environmental similarity under the Third Law of Geography, aiming to systematically screen the most comparable samples from the global soil spectral library to enhance the performance and robustness of local SOC modeling. A spectral-environmental similarity framework was established to identify samples that are simultaneously similar to the target region in spectral properties and environmental settings, and instance-based transfer modeling experiments were conducted in five representative small-sample regions (A-E). Results show that the synergistic strategy significantly improved modeling performance in most regions, with maximum increases in predictive power (as indicated by R2) of up to 18% compared with the baseline global transfer model. Remarkably, even when the number of global samples was reduced from 20,961 to around 200, the proposed strategy still outperformed local modeling and conventional global modeling approaches. In relatively stable environments, higher weights on environmental similarity yielded the best models, whereas in highly heterogeneous regions, spectral similarity played a more dominant role. The synergistic strategy also optimized the distribution of important spectral bands, enhanced SOC-responsive features in the visible region (450-750 nm), suppressed redundant information, and improved modeling efficiency. This study demonstrates that the proposed spectral-environmental synergistic sample transfer modeling method not only challenges the conventional assumption that more samples guarantee better models but also provides a novel pathway and theoretical support for the efficient use of global soil spectral libraries in regional SOC modeling.
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WOS关键词NEAR-INFRARED SPECTROSCOPY ; ORGANIC-CARBON ; REFLECTANCE SPECTROSCOPY ; PREDICTION ; LIBRARY ; INFORMATION ; POLLUTION ; DISTANCE ; SIZE
WOS研究方向Agriculture
语种英语
WOS记录号WOS:001687399400001
出版者ELSEVIER
源URL[http://ir.igsnrr.ac.cn/handle/311030/220906]  
专题生态系统网络观测与模拟院重点实验室_外文论文
通讯作者Zhang, Zipeng
作者单位1.Xinjiang Inst Technol, Aksu 843099, Peoples R China;
2.Xinjiang Univ, Coll Geog & Remote Sci, Urumqi 830017, Peoples R China;
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
4.Natl Univ Singapore, Dept Geog, Singapore 119077, Singapore;
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China;
6.Shenzhen Polytech Univ, Sch Artificial Intelligence, Shenzhen 518055, Peoples R China;
7.Xinjiang Univ, Inst Beautiful China, Urumqi 830017, Peoples R China;
推荐引用方式
GB/T 7714		 Li, Liangyi,Zhang, Zipeng,Sun, Minglu,et al. Selecting the right samples rather than more samples: A new spectral-environmental similarity strategy for local soil spectral modeling[J]. GEODERMA,2026,467:117710.
APA Li, Liangyi.,Zhang, Zipeng.,Sun, Minglu.,Ding, Jianli.,Wang, Jingzhe.,...&Huang, Yuanyuan.(2026).Selecting the right samples rather than more samples: A new spectral-environmental similarity strategy for local soil spectral modeling.GEODERMA,467,117710.
MLA Li, Liangyi,et al."Selecting the right samples rather than more samples: A new spectral-environmental similarity strategy for local soil spectral modeling".GEODERMA 467(2026):117710.

入库方式： OAI收割

来源：地理科学与资源研究所

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