北极海冰参数卫星遥感数据集（2016-2020年）

本数据收录了北冰洋海冰密集度、海冰厚度、海冰漂移速度、冰间水道、融池、冰山卫星遥感融合产品分析数据（2016-2020）。主要针对多源卫星数据收集与处理，北极海冰卫星遥感信息提取算法研究，遥感产品研制与精度验证等环节开展。收集覆盖北极区域的辐射计、高度计、中高分辨率光学、SAR等多源卫星遥感数据和现场观测数据，并基于现场实测数据开展遥感数据一致性和不确定性分析，研究多源遥感数据和现场观测数据的质量控制方法。消除多源遥感数据之间的观测偏差，形成一致性较高的数据集。基于多源卫星遥感数据，结合现场观测资料等数据，发展海冰密集度、海冰厚度、海冰漂移速度、冰间水道、融池、冰山产品的生产；利用浮标、船舶、飞机等现场观测数据以及独立的遥感观测数据开展产品精度检验并分析误差来源，研究北极海冰要素的时空分布特征。

This dataset contains analyzed satellite remote sensing fusion products for Arctic sea ice concentration, sea ice thickness, sea ice drift velocity, sea ice leads, melt ponds, and icebergs, spanning 2016 to 2020. This dataset is developed through core processes including multi-source satellite data collection and processing, research on Arctic sea ice remote sensing information extraction algorithms, remote sensing product development, and accuracy validation. Multi-source satellite remote sensing data (including radiometers, altimeters, medium-to-high resolution optical sensors, SAR, etc.) covering the Arctic region and in-situ observation data are collected. Based on field measured data, consistency and uncertainty analyses of remote sensing data are conducted, and quality control methods for multi-source remote sensing data and in-situ observation data are established. Observation biases among different multi-source remote sensing datasets are eliminated to produce a highly consistent dataset. Using multi-source satellite remote sensing data combined with in-situ observation data and other relevant datasets, the aforementioned sea ice-related products are generated. We conduct product accuracy validation and error source analysis using in-situ observation data from buoys, vessels, aircraft, etc., as well as independent remote sensing observation data, and investigate the spatiotemporal distribution characteristics of Arctic sea ice parameters.

搜集汇总

背景与挑战

背景概述

该数据集收录了2016-2020年北冰洋的海冰密集度、厚度、漂移速度、冰间水道、融池和冰山等多参数卫星遥感融合产品，基于多源卫星和现场观测数据经过质量控制与精度验证形成。数据量为31.5GB，格式为.nc，以中文提供，适用于冰川学和遥感研究，共享方式为条件共享。