
Journals >Spacecraft Recovery & Remote Sensing
Marine remote sensing satellites, due to their specificity, heavily rely on in-situ marine observation data for the calibration of sensors and the validation of remote sensing products. The complexity of ocean remote sensing detection signals has prompted new demands for ocean observation technology. Under the impetus of spaceborne remote sensing mission requirements, countries have initiated the construction of marine calibration and validation fields. This paper investigates the current situation and development trends of global marine calibration and validation field networks, starting from the observation technology systems of global marine calibration and validation fields and the main tasks of field sites. It showcases the achievements of China's marine calibration and validation field network construction, combining the practices and applications of such networks in China. The current maritime calibration field network in China has initially achieved a reasonable spatial layout and reliable data observation capabilities. With the implementation of future development plans, the construction of China's calibration field network is expected to provide long-term series of spatiotemporal cube datasets for field observations.
.- Publication Date: Apr. 29, 2025
- Vol. 46, Issue 2, 1 (2025)
Ocean surface sunglint reflection serves as both unique information source and persistent data correction challenge in marine optical remote sensing. This study elucidates the multi-scale image characteristics and differentiation of sunglint reflections in remote sensing imagery. In coarse-resolution images, sunglint reflections exhibit statistical distribution characteristics. But high-resolution imagery reveals distinct discrete features, statistical features, and Fresnel reflection discrepancies. Current sunglint correction methods for marine optical imagery are systematically summarized and applied to multi-source remote sensing datasets. The application characteristics of different correction approaches are analyzed to discuss the effectiveness of sunglint reflection variations in detecting ocean surface targets, marine environmental dynamics phenomena, and environmental monitoring. Finally, prospects for future advancements in ocean sunglint remote sensing are outlined, providing a foundation for subsequent research endeavors.
.- Publication Date: Apr. 29, 2025
- Vol. 46, Issue 2, 133 (2025)
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- Vol. 46, Issue 2, 13 (2025)
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- Vol. 46, Issue 2, 72 (2025)
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- Vol. 46, Issue 2, 86 (2025)