MUSES Normalized Difference Vegetation Index (NDVI) 8-Day Global 0.05º Geographic Grid Since 1982

The MUltiscale Satellite remotE Sensing (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/). This dataset is the MUSES global NDVI product at 0.05º spatial resolution and 8-day temporal resolution. The MUSES NDVI product is provided on Geographic grid and spans from 1982 to 2015 (continuously updated). It was generated from the Land Long-Term Data Record (LTDR) Advanced very high resolution radiometer (AVHRR) daily surface reflectance product (Version 4) using a temporally continuous vegetation indices-based land-surface reflectance reconstruction (VIRR) method (Xiao et al., 2015; Xiao et al., 2017). The MUSES NDVI product is spatially complete and temporally continuous. Dataset Characteristics: Spatial Coverage: 180º W – 180º E, 90º S – 90º N Temporal Coverage: 1982 – 2015 Spatial Resolution: 0.05º (approximately 5 km) Temporal Resolution: 8 days Projection: Geographic Data Format: HDF Scale: 0.0001 Valid Range: 0 – 10000 Citation (Please cite this paper whenever these data are used): Xiao Zhiqiang, et al. (2015). Reconstruction of Satellite-Retrieved Land-Surface Reflectance Based on Temporally-Continuous Vegetation Indices. Remote Sensing, 7, 9844-9864 Xiao Zhiqiang, et al. (2017). Reconstruction of Long-Term Temporally Continuous NDVI and Surface Reflectance From AVHRR Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10, 5551-5568 If you have any questions, please contact Prof. Zhiqiang Xiao ([e-mail]).

多尺度卫星遥感（MUltiscale Satellite remotE Sensing, MUSES）产品套件涵盖归一化差分植被指数（Normalized Difference Vegetation Index, NDVI）、植被近红外反射率（Near-Infrared Reflectance of Vegetation, NIRv）、叶面积指数（Leaf Area Index, LAI）、吸收光合有效辐射比例（Fraction of Absorbed Photosynthetically Active Radiation, FAPAR）、植被覆盖度（Fractional Vegetation Coverage, FVC）、总初级生产力（Gross Primary Production, GPP）与净初级生产力（Net Primary Production, NPP）等多类参数的不同时空分辨率产品。如需了解MUSES产品的更多详情，请访问官方网站：https://muses.bnu.edu.cn。
本数据集为MUSES全球归一化差分植被指数产品，空间分辨率为0.05°，时间分辨率为8天。该产品采用地理网格（Geographic grid）进行存储，时间跨度为1982年至2015年（数据将持续更新）。其生产依托长期土地数据记录（Land Long-Term Data Record, LTDR）高级甚高分辨率辐射计（Advanced very high resolution radiometer, AVHRR）第4版每日地表反射率产品，并基于时间连续植被指数地表反射率重构（VIRR）方法（Xiao等，2015；Xiao等，2017）完成。该MUSES NDVI产品空间全覆盖且时间连续。
数据集特性如下：
空间覆盖范围：西经180°至东经180°，南纬90°至北纬90°
时间覆盖范围：1982年至2015年
空间分辨率：0.05°（约合5千米）
时间分辨率：8天
投影方式：地理坐标系
数据格式：HDF
缩放系数：0.0001
有效取值范围：0 – 10000
引用说明：使用本数据集时，请务必引用以下论文：
1. Xiao Zhiqiang, et al. (2015). 基于时间连续植被指数的卫星反演地表反射率重构. Remote Sensing, 7, 9844-9864
2. Xiao Zhiqiang, et al. (2017). 基于AVHRR数据的长时间序列时间连续NDVI与地表反射率重构. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10, 5551-5568
如有任何疑问，请联系肖志强教授（邮箱：[e-mail]）。

搜集汇总

背景与挑战

背景概述

该数据集是MUSES全球NDVI产品，提供1982年至2015年全球范围的0.05度空间分辨率和8天时间分辨率的植被指数数据，具有空间完整性和时间连续性。数据采用HDF格式存储，适用于植被动态监测和研究。