Subsurface ocean observations are sparse and insufficient, significantly constraining studies
of ocean processes. Retrieving high-resolution subsurface dynamic parameters from remote …

The reconstruction of the ocean's 3D thermal structure is essential to the study of ocean
interior processes and global climate change. Satellite remote sensing technology can …

In the era of big data, making full use of remote sensing images to automatically extract
surface water bodies (WBs) in complex environments is extremely challenging. Due to the …

Urban waterlogging is a major natural disaster in the process of urbanization. It is of great
significance to carry out the analysis of influencing factors and susceptibility assessment of …

Estimating high-resolution ocean subsurface temperature has great importance for the
refined study of ocean climate variability and change. However, the insufficient resolution …

Surface water body (WB) as one of the world's most critical natural resources, plays a
significant role in forming and sustaining life. Therefore, accurate extraction of WB is …

Accurate prediction of seawater temperature is crucial for meteorological model
understanding and climate change assessment. This study proposes TempreNet, a deep …

Automated water body (WB) extraction is one of the hot research topics in the field of remote
sensing image processing. To address the challenges of over-extraction and incomplete …

漫射衰减系数Kd (z, λ) 是估算水下光场及水色要素剖面分布, 研究浮游植物光合作用及赤潮灾害
预警方法的重要参数, 它是一个准固有光学特性参数, 是波长𝜆 和剖面深度z 的函数 …

Three-dimensional Ocean temperature and salinity data are the basis for studying ocean
dynamic processes and warming. Satellite remote sensing observations on the ocean …