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GIScience & Remote Sensing Volume 60, 2023 - Issue 1
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Research Article

Regression-based surface water fraction mapping using a synthetic spectral library for monitoring small water bodies

Yalan Wanga Key Laboratory for Environment and Disaster Monitoring and Evaluation, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China;b University of Chinese Academy of Sciences, Beijing, ChinaORCID Iconhttps://orcid.org/0000-0003-3762-029XView further author information
ORCID Icon,
Giles Foodyc School of Geography, University of Nottingham, Nottingham, UKORCID Iconhttps://orcid.org/0000-0001-6464-3054View further author information
ORCID Icon,
Xiaodong Lia Key Laboratory for Environment and Disaster Monitoring and Evaluation, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-8285-8446View further author information
ORCID Icon,
Yihang Zhanga Key Laboratory for Environment and Disaster Monitoring and Evaluation, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, ChinaView further author information
,
Pu Zhoua Key Laboratory for Environment and Disaster Monitoring and Evaluation, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China;b University of Chinese Academy of Sciences, Beijing, ChinaView further author information
&
Yun Dua Key Laboratory for Environment and Disaster Monitoring and Evaluation, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, ChinaView further author information
Article: 2217573 | Received 20 Jan 2023, Accepted 18 May 2023, Published online: 28 May 2023

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Read on this site (1)

Donghui Ma, Liguang Jiang, Jie Li & Yun Shi. (2023) Water index and Swin Transformer Ensemble (WISTE) for water body extraction from multispectral remote sensing images. GIScience & Remote Sensing 60:1.
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Articles from other publishers (1)

Xiaodong Li, Yalan Wang, Yihang Zhang, Shuwei Hou, Pu Zhou, Xia Wang, Yun Du & Giles M. Foody. (2023) Unmixing-Based Spatiotemporal Image Fusion Based on the Self-Trained Random Forest Regression and Residual Compensation. IEEE Transactions on Geoscience and Remote Sensing 61, pages 1-19.
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