Hydrology and Climate Change Article Summaries

Zhang et al. (2025) TALESF: A Novel Terrain-Adjusted Local-Enhanced Spatiotemporal Fusion Method for Generating Spatiotemporally Seamless, High-Resolution NDVI

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Not available in the provided text. The paper introduces TALESF, a novel terrain-adjusted local-enhanced spatiotemporal fusion method for generating spatiotemporally seamless, high-resolution Normalized Difference Vegetation Index (NDVI).

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Citation

@article{Zhang2025TALESF,
  author = {Zhang, Guodong and Sun, Gang and Yin, Gaofei and Ni, Yifei and Zhang, Yi and Hu, Jiangchuan and Li, Zongyan and Chen, Rui and Wang, Changjing and Wang, Meilian and Zhang, Yufang and Ding, Anxin and Liu, Xinyan and Verger, Aleixandre},
  title = {TALESF: A Novel Terrain-Adjusted Local-Enhanced Spatiotemporal Fusion Method for Generating Spatiotemporally Seamless, High-Resolution NDVI},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year = {2025},
  doi = {10.1109/tgrs.2025.3642983},
  url = {https://doi.org/10.1109/tgrs.2025.3642983}
}

Original Source: https://doi.org/10.1109/tgrs.2025.3642983