全球年季月海表叶绿素a浓度数据集4KM（1998-2017）

全球海表叶绿素a浓度数据集基于SeaWiFs、MODIS、MERIS、VIIRS等卫星遥感数据和台站实测数据，利用卡尔曼滤波和小波融合算法对多种数据进行最优选择和融合制作而成。该数据集用于解决传感器不一致造成的数据不一致性问题。该数据集包括月、季、年三种时间尺度，时间范围为1998.01-2017.12，空间分辨率为4km。本数据集和多源卫星遥感数据集同时与实测数据对比分析表明：该数据集质量优于已有产品数据。

This Global Surface Seawater Chlorophyll-a Concentration Dataset is developed based on multi-satellite remote sensing data including SeaWiFS, MODIS, MERIS, VIIRS and other satellite remote sensing data, as well as in-situ station measurements. It is constructed by optimally selecting and fusing multiple data sources using Kalman filter and wavelet fusion algorithms. This dataset aims to address the data inconsistency issue caused by inconsistent sensor performance. It covers three temporal scales: monthly, seasonal and annual, with a temporal range from January 1998 to December 2017 and a spatial resolution of 4 km. Comparative analysis between this dataset and multiple-source satellite remote sensing datasets against in-situ measurements demonstrates that the quality of this dataset outperforms existing related products.

搜集汇总

背景与挑战

背景概述

该数据集是全球海表叶绿素a浓度的遥感产品，时间覆盖1998年至2017年，提供月、季、年三种时间尺度的数据，空间分辨率为4km。它基于多源卫星和实测数据，采用卡尔曼滤波和小波融合算法优化，旨在解决传感器不一致性问题，数据质量优于现有产品，适用于海洋污染监测和可持续发展目标研究。