A New Spatiotemporal Filtering Method to Reconstruct Landsat Time-Series for Improving Estimation Accuracy of Forest Aboveground Carbon Stock

Landsat time-series (LTS) archived the multitemporal hyperspectral images, providing freely accessible and long-term optical data for estimating forest aboveground carbon stock (ACS). Due to LTS carrying noise, there were such issues as bias, outliers, and missing values in ACS estimation. Hence, a...

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Bibliographic Details
Main Authors: Kai Huang, Chenkai Teng, Jialong Zhang, Rui Bao, Yi Liao, Yunrun He, Bo Qiu, Mingrui Xu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Online Access:https://ieeexplore.ieee.org/document/10876592/
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