MUSES 500m Global Annual Gross and Net Primary Productivity Dataset
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The MUltiscale Satellite remotE Sensing (MUSES) 500m global annual vegetation productivity dataset includes gross primary productivity (GPP) and net primary productivity (NPP) data from 2001 to 2019. GPP and NPP were estimated with a light use efficiency (LUE) model and GLASS leaf area index (LAI) and fraction of absorbed photosynthetically active radiation (FAPAR) products. The MUSES product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). The detail information of the MUSES 500m global annual GPP and NPP dataset is as below: Name: MUSES 500m global annual GPP and NPP dataset Period: 2001-2019 Projection: Sinusoidal projection; Spatial resolution: 463.3127165 m; Temporal resolution: annual; Data format: zipped GeoTiff file; Data type: unsigned short integer (16bit); Image size: 86400 columns, 36000 rows Upper left coordinates: ULX = -20015109.354 m, ULY = 10007554.677 m; Scale factor: 10. NPP = DN / scale factor; GPP = DN / scale factor; Unit: gC/m2/yr. Citation (Please cite these papers when these data are used) 1. Wang, J.M., Sun, R., Zhang, H.L., Xiao, Z.Q., Zhu A.R., Wang, M.J., Yu, T., Xiang, K.L., New global MuSyQ GPP/NPP remote sensing products from 1981 to 2018. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14, 5596-5612. 2. Wang, M.J.; Sun, R.; Zhu, A.R.; Xiao, Z. Q. Evaluation and Comparison of Light Use Efficiency and Gross Primary Productivity Using Three Different Approaches. Remote Sensing. 2020, 12, 1003. 3. Yu, T.; Sun, R.; Xiao, Z.Q. ;Zhang , Q.; Liu, G.; Cui, T.X.; Wang, J.M. Estimation of Global Vegetation Productivity from Global LAnd Surface Satellite Data. Remote sensing. 2018, 10, 327.
多尺度卫星遥感（Multiscale Satellite Remote Sensing, MUSES）500米全球年度植被生产力数据集包含2001至2019年的总初级生产力（Gross Primary Productivity, GPP）与净初级生产力（Net Primary Productivity, NPP）数据。该数据集的GPP与NPP基于光能利用率（Light Use Efficiency, LUE）模型，结合GLASS叶面积指数（Leaf Area Index, LAI）与光合有效辐射吸收比率（Fraction of Absorbed Photosynthetically Active Radiation, FAPAR）产品估算得到。 MUSES产品套件包含多时空分辨率的多类参数产品，具体涵盖归一化植被指数（Normalized Difference Vegetation Index, NDVI）、植被近红外反射率（Near-Infrared Reflectance of Vegetation, NIRv）、叶面积指数（LAI）、光合有效辐射吸收比率（FAPAR）、植被覆盖度（Fractional Vegetation Coverage, FVC）、总初级生产力（GPP）以及净初级生产力（NPP）。如需了解MUSES产品的更多详情，请访问官网：https://muses.bnu.edu.cn/。 MUSES 500米全球年度GPP与NPP数据集的详细信息如下： 名称：MUSES 500米全球年度GPP与NPP数据集 时间范围：2001-2019年 投影方式：正弦投影（Sinusoidal projection） 空间分辨率：463.3127165米 时间分辨率：年度 数据格式：压缩GeoTiff文件 数据类型：无符号短整型（16位） 图像尺寸：86400列，36000行 左上角坐标：ULX = -20015109.354米，ULY = 10007554.677米 缩放因子：10。NPP = DN / 缩放因子；GPP = DN / 缩放因子 单位：克碳/平方米/年（gC/m²/yr） 引用说明（使用该数据集时请引用以下文献）： 1. Wang JM, Sun R, Zhang HL, Xiao ZQ, Zhu AR, Wang MJ, Yu T, Xiang KL. 1981—2018年全球新型MuSyQ GPP/NPP遥感产品. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14: 5596-5612. 2. Wang MJ, Sun R, Zhu AR, Xiao ZQ. 三种不同方法下光能利用率与总初级生产力的评估与对比. Remote Sensing, 2020, 12: 1003. 3. Yu T, Sun R, Xiao ZQ, Zhang Q, Liu G, Cui TX, Wang JM. 基于全球陆面卫星数据的全球植被生产力估算. Remote Sensing, 2018, 10: 327.
