2000-2018年全球250米陆表反照率4天数据

陆表反照率反映了陆地表面对太阳短波辐射的反射能力，是地球辐射能量平衡的关键参数之一。通过定量遥感方法获取的地表反照率产品刻画了地表反照率的时空变化，并反映了地表反照率对全球气候、环境变化的响应和交互作用。在已有的多种地表反照率遥感产品中，GLASS(Global Land Surface Satellite)反照率产品以其长时间序列、高精度、无缺失和较高的时空分辨率独树一帜，为各行业用户提供了高质量的气候数据集。本文首先回顾陆表反照率有关的参数定义和理论基础，并简要介绍相关研究的现状和科学问题；然后详细介绍GLASS反照率产品的算法及其更新升级，重点阐述了用于生产GLASS地表反照率产品的直接估算、时空滤波和降尺度融合三个算法；然后在筛选全球辐射通量观测站点基础上，以地面观测数据直接验证和不同遥感产品之间的交叉比较两种方式评价了GLASS反照率产品的精度；最后进行总结并展望了未来GLASS反照率产品升级和算法发展的工作。

Land surface albedo reflects the capacity of terrestrial surfaces to reflect solar shortwave radiation, and is one of the key parameters of Earth's radiative energy balance. Land surface albedo products obtained via quantitative remote sensing methods characterize the spatiotemporal variations of surface albedo, and reflect the responses and interactions of surface albedo to global climate and environmental changes. Among various existing surface albedo remote sensing products, the GLASS (Global Land Surface Satellite) albedo product stands out for its long-time series, high precision, gap-free data and relatively high spatiotemporal resolution, providing high-quality climate datasets for users across various industries. This paper first reviews the parameter definitions and theoretical foundations related to land surface albedo, and briefly introduces the current research status and scientific issues; then elaborates on the algorithms and updates of the GLASS albedo product, focusing on three algorithms used for producing the GLASS surface albedo product: direct estimation, spatiotemporal filtering and downscaling fusion; then, based on screening global radiation flux observation stations, it evaluates the accuracy of the GLASS albedo product through two methods: direct validation with ground observation data and cross-comparison between different remote sensing products; finally, it summarizes the work and looks forward to the future upgrades of the GLASS albedo product and the development of its algorithms.

搜集汇总

背景与挑战

背景概述

该数据集是2000年至2018年全球范围内的陆表反照率4天合成产品，空间分辨率为250米，属于GLASS产品系列，具有长时间序列、高精度和无数据间隙的特点。它通过直接估计、时空滤波和降尺度融合算法生成，验证显示RMSE为0.0125，相对误差4.271%，适用于全球能量平衡和气候变化研究。