2002-2018年中国典型生态系统土壤含水量变化数据

CERN全国范围内包括农田、森林、草地、荒漠与湿地等生态类型的34个陆地生态系统台站，依据陆地水环境观测规范、质量保证与质量控制规范，设立观测样地，并开展土壤含水量的长期定位观测与数据汇交及质控工作。CERN水分分中心选取了这34个台站2005~2018 年气象观测场的土壤含水量长期监测数据，通过进一步统一规范数据格式，形成了全国范围内较长时间序列的公开共享数据集，为土壤含水量时空动态的遥感反演、模型估算验证提供地面实测数据支撑。

Thirty-four terrestrial ecosystem stations under the Chinese Ecosystem Research Network (CERN) across China cover diverse ecosystem types including farmland, forest, grassland, desert and wetland. Following the specifications for terrestrial aquatic environment observation, quality assurance (QA) and quality control (QC), observation plots were established, and long-term in-situ observations, data submission and quality control work for soil moisture content were carried out at these stations. The CERN Hydrology Sub-Center selected long-term monitoring data of soil moisture content from the meteorological observation fields of these 34 stations during 2005–2018. After further unifying and standardizing the data format, a publicly shared dataset with a relatively long nationwide time series was developed, which provides ground-truth data support for remote sensing inversion and model estimation validation of the spatiotemporal dynamics of soil moisture content.

搜集汇总

背景与挑战

背景概述

该数据集包含2005-2018年中国34个典型生态系统台站的土壤含水量监测数据，覆盖农田、森林等主要生态类型，以CSV格式提供，用于支持土壤水分遥感反演和模型验证研究。