10 citations as recorded by crossref.

1. Comparison of Two Spatiotemporal Reconstruction Methods for Spaceborne Sea Surface Temperature Data at Multiple Temporal Resolutions X. Ma et al. https://doi.org/10.1109/JSTARS.2024.3453508
2. Advances in Methodology and Generation of All-Weather Land Surface Temperature Products From Polar-Orbiting and Geostationary Satellites: A comprehensive review A. Jia et al. https://doi.org/10.1109/MGRS.2024.3421268
3. Impact of Assimilation of Moored Velocity Data on Low‐Frequency Current Estimation in Northwestern Tropical Pacific D. Liu et al. https://doi.org/10.1029/2019JC015829
4. Reconstruction of arctic SST data and generation of multi-source satellite fusion products with high temporal and spatial resolutions Y. Li et al. https://doi.org/10.1080/2150704X.2021.1931531
5. High-Resolution Seamless Daily Sea Surface Temperature Based on Satellite Data Fusion and Machine Learning over Kuroshio Extension S. Jung et al. https://doi.org/10.3390/rs14030575
6. Coastal ocean data assimilation using a multi-scale three-dimensional variational scheme Z. Li et al. https://doi.org/10.1007/s10236-015-0850-x
7. Impact of HF radar current gap-filling methodologies on the Lagrangian assessment of coastal dynamics I. Hernández-Carrasco et al. https://doi.org/10.5194/os-14-827-2018
8. Generating a 2-km, all-sky, hourly land surface temperature product from Advanced Baseline Imager data A. Jia et al. https://doi.org/10.1016/j.rse.2022.113105
9. Correlation between concentrations of chlorophyll-a and satellite derived climatic factors in the Persian Gulf M. Moradi & N. Moradi https://doi.org/10.1016/j.marpolbul.2020.111728
10. Mapping Rice Paddies in Complex Landscapes with Convolutional Neural Networks and Phenological Metrics S. Zhao et al. https://doi.org/10.1080/15481603.2019.1658960