2000-2023年雄安新区植被净初级生产力（NPP）10m/30m数据集

针对雄安新区城市生态系统碳汇研究缺乏长时序、高分辨率数据的现状，本研究依托Google Earth Engine (GEE) 云计算平台，利用Landsat系列与Sentinel-2多源遥感影像、TerraClimate气候再分析数据及土地利用数据，构建了2000-2023年雄安新区植被净初级生产力（NPP）10m/30m数据集。本数据集采用改进的CASA模型进行研制，通过NDVI时间序列谐波拟合与Landsat 7条带修复技术重构高质量植被指数，并针对城市复杂下垫面特征，对不同土地覆盖类型的最大光能利用率与水分胁迫系数进行了本地化率定与优化。数据集覆盖2000年至2023年，包含月度和年度两个时间尺度，空间分辨率优于30m并重采样至10m，数据单位分别为克（碳）每月每平方米和克（碳）每年每平方米。在质量控制方面，研究团队严格执行了去云、异常值剔除及投影标准化处理，数据生产过程符合GB/T 42961-2023等相关国家标准；通过与国际通用MODIS产品进行长时序交叉验证，结果显示两者年际波动趋势高度一致，且本数据集在空间细节表现上更具优势，有效克服了低分辨率数据的混合像元问题。该数据集完整记录了雄安新区设立前后植被固碳能力的动态演变，可为新区“双碳”目标核算、生态修复成效评估及精细化碳管理提供坚实的科学数据支撑。To address the gap of long-time-series and high-resolution data in the research on carbon sequestration of the urban ecosystem of Xiong'an New Area, this study leverages the Google Earth Engine (GEE) cloud computing platform, integrating multi-source remote sensing images from the Landsat series and Sentinel-2, TerraClimate climate reanalysis data, and land use data to construct a 10 m/30 m resolution Net Primary Productivity (NPP) dataset of vegetation in Xiong'an New Area spanning from 2000 to 2023. This dataset was developed using an improved CASA model. High-quality vegetation indices were reconstructed via NDVI time-series harmonic fitting and Landsat 7 SLC-off gap-filling techniques. In view of the complex underlying surface characteristics of urban areas, the maximum light use efficiency and water stress coefficient for different land cover types were localized calibrated and optimized. The dataset covers the period from 2000 to 2023, with two temporal resolutions: monthly and annual. Its spatial resolution is superior to 30 m and resampled to 10 m, with units of grams of carbon per square meter per month and grams of carbon per square meter per year, respectively. For quality control, the research team strictly implemented cloud masking, outlier removal, and projection standardization. The data production process complies with relevant national standards such as GB/T 42961-2023. Long-time-series cross-validation with the internationally recognized MODIS products showed that the interannual fluctuation trends of the two datasets are highly consistent. Moreover, this dataset has superior spatial detail performance, effectively overcoming the mixed pixel problem of low-resolution data. This dataset comprehensively records the dynamic evolution of vegetation carbon sequestration capacity before and after the establishment of Xiong'an New Area, providing solid scientific data support for the accounting of the area's dual carbon goals, the assessment of ecological restoration effectiveness, and refined carbon management.

搜集汇总

背景与挑战

背景概述

该数据集提供了2000-2023年雄安新区植被净初级生产力（NPP）的10米/30米分辨率数据，采用改进CASA模型并融合多源遥感与气候数据构建，包含月度和年度时间尺度。通过严格的质量控制和与国际产品的交叉验证，数据有效记录了植被固碳能力的动态演变，可为区域碳汇研究和生态管理提供科学支撑。