北极海洋与海岸带高时空分辨率卫星遥感数据集（2016-2020年）

本数据收录了北冰洋海面风场、海浪、海表面温度、叶绿素a浓度高时空分辨率多源卫星遥感融合产品（2016-2020），以及北极典型岸段岸线变迁、北极重要河口湿地长时序卫星遥感监测数据。收集覆盖北极区域的散射计、辐射计、高度计、水色、中高分辨率光学、激光雷达等多源卫星遥感数据，基于多源卫星遥感数据，结合现场观测资料和辐射传输模拟数据，发展适合北极弱光照条件的海洋环境参数主被动光学遥感反演模型，研究卫星密集重访条件下的北极海洋环境信息多源卫星遥感融合方法，开展北极冰雪融化加剧背景下的海岛海岸带变迁高精度遥感监测；利用浮标、船舶等现场观测数据以及独立的遥感观测数据，研究北极海洋环境要素的时空分布特征。

This dataset includes high spatiotemporal resolution multi-source satellite remote sensing fusion products of sea surface wind field, sea waves, sea surface temperature (SST) and chlorophyll-a concentration over the Arctic Ocean (2016–2020), as well as long-time series satellite remote sensing monitoring data on shoreline changes in typical Arctic coastal segments and important Arctic estuarine wetlands. Multi-source satellite remote sensing data covering the Arctic region, including scatterometers, radiometers, altimeters, ocean color sensors, medium-to-high resolution optical sensors and lidar, were collected. Based on these multi-source satellite remote sensing data, combined with in-situ observation data and radiative transfer simulation data, we developed active and passive optical remote sensing inversion models for marine environmental parameters suitable for the low-light conditions in the Arctic. We also explored multi-source satellite remote sensing fusion methods for Arctic marine environmental information under the condition of dense satellite revisit cycles, and conducted high-precision remote sensing monitoring of island and coastal zone changes against the background of accelerated Arctic ice and snow melt. Furthermore, using in-situ observation data from buoys, vessels and other sources, as well as independent remote sensing observation data, we analyzed the spatiotemporal distribution characteristics of Arctic marine environmental factors.