全球2000-2022年30米分辨率湿地时序图
收藏国家对地观测科学数据中心2025-11-25 更新2026-01-30 收录
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https://noda.ac.cn/datasharing/datasetDetails/68cd0dc18be5eb4fefabea6f
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资源简介:
GWL_FCS30数据集是全球首套长达23年(2000-2022)、空间分辨率达30米并采用精细分类体系的年度湿地地图产品。该数据集将湿地划分为8个亚类(永久性水体、沼泽、草本沼泽、洪泛平原、盐碱地、红树林、盐沼和潮滩),显著提升了对湿地生态系统多样性的刻画能力。
数据集采用多源时间序列遥感影像(包括Landsat系列、Sentinel-1/2等)为主要数据源,通过融合光学与雷达遥感数据优势,结合物候特征提取与机器学习算法研制生成。全球数据被划分为961个5°×5°的标准分幅,每个分幅文件包含23个波段,分别对应2000至2022各年度的湿地分类结果,便于用户进行长时间序列分析。
该产品为全球变化研究、生物多样性保护、水资源管理与碳循环模拟等提供了至关重要的基础数据。使用本数据发表科学成果时,需按规定引用原文并强烈建议提前与作者团队联系。
The GWL_FCS30 dataset is the world's first annual wetland mapping product with a 23-year time span (2000-2022), 30-meter spatial resolution, and a fine classification system. This dataset divides wetlands into 8 subcategories: permanent water bodies, swamps, herbaceous marshes, floodplains, saline-alkali lands, mangroves, salt marshes, and tidal flats, which significantly improves the characterization of wetland ecosystem diversity.
The dataset is developed using multi-source time-series remote sensing images (including Landsat series, Sentinel-1/2, etc.) as the main data sources, by integrating the advantages of optical and radar remote sensing data, combined with phenological feature extraction and machine learning algorithms. The global dataset is divided into 961 standard 5° × 5° tiled grids. Each tiled file contains 23 bands, each corresponding to the wetland classification result of each year from 2000 to 2022, which facilitates long-time series analysis for users.
This product provides critical basic data for global change research, biodiversity conservation, water resource management, carbon cycle modeling, and other related fields. When publishing scientific results using this dataset, users are required to cite the original publication in accordance with relevant regulations, and it is strongly recommended to contact the author team in advance.
创建时间:
2025-11-25
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集是全球首个2000年至2022年年度湿地地图产品,具有30米高空间分辨率和精细分类系统,将湿地分为8个子类型,以增强湿地生态系统多样性的表征能力。它基于多源时间序列遥感数据(如Landsat和Sentinel系列)开发,结合光学与雷达优势及机器学习算法,提供961个标准帧便于长期分析,适用于全球变化研究、生物多样性保护和水资源管理等领域。
以上内容由遇见数据集搜集并总结生成



