NRWI: a novel spectral index optimized for waterbody extraction from high-resolution GF-2 satellite imagery

NRWI: a novel spectral index optimized for waterbody extraction from high-resolution GF-2 satellite imagery

Remote sensing-based water indices are well-suited for rapid, large-scale waterbody extraction. However, most existing indices rely on short-wave infrared (SWIR) bands, making them incompatible with four-band high-resolution satellite imagery (visible and near-infrared only). Moreover, the few indic...

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Bibliographic Details
Main Authors: Peng Zhang, Shanchuan Guo, Hong Fang, Pengfei Tang, Cong Lin, Hui Yang, Biao Wang, Yanlan Wu
Format: Article
Language:English
Published: Taylor & Francis Group 2025-08-01
Series:International Journal of Digital Earth
Subjects:
Water index
GF-2 images
Sentinel-2 images
spectral analysis
large-scale mapping
Online Access:https://www.tandfonline.com/doi/10.1080/17538947.2025.2531846
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