MUSES Near-Infrared Reflectance of Vegetation (NIRV) 16-Day 30m Geographic Grid over Beijing Since 1984

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 NIRV product at 30 m spatial resolution and 16-day temporal resolution over Beijing. The MUSES NIRV product is provided on Geographic grid and spans from 1984 to 2022 (continuously updated). It was generated from the Landsat collection 2 surface reflectance data using a temporally continuous vegetation indices-based land-surface reflectance reconstruction (VIRR) method (Xiao et al., 2015; Xiao et al., 2017). The MUSES NIRV product is spatially complete and temporally continuous. Dataset Characteristics: Spatial Coverage: 115.416599º E – 117.508219º E, 39.441929º N – 41.059283º N Temporal Coverage: 1984 – 2022 Spatial Resolution: 0.000269469º (approximately 30 m) Temporal Resolution: 16 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）、光合有效辐射吸收比例（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）、净初级生产力（Net Primary Production, NPP）等多类参数的不同空间与时间分辨率产品。如需获取MUSES产品的更多详细信息，请访问官方网站：https://muses.bnu.edu.cn。
本数据集为覆盖北京地区、空间分辨率30米、时间分辨率16天的MUSES NIRV产品。该产品采用地理网格存储，时间跨度为1984年至2022年（目前仍在持续更新）。数据集基于Landsat Collection 2地表反射率数据，通过基于时间连续植被指数的地表反射率重构（VIRR）方法生成（Xiao等，2015；Xiao等，2017）。MUSES NIRV产品具备空间完整性与时间连续性特征。
数据集特征如下：
空间覆盖范围：115.416599°E – 117.508219°E，39.441929°N – 41.059283°N
时间覆盖范围：1984年 – 2022年
空间分辨率：0.000269469°（约30米）
时间分辨率：16天
投影方式：地理投影
数据格式：HDF
缩放系数：0.0001
有效取值范围：0 – 10000
引用说明（使用该数据集时请务必引用以下文献）：
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. 《遥感》（Remote Sensing）, 7, 9844-9864
2. Xiao Zhiqiang, et al. (2017). 基于AVHRR数据的长期时间连续NDVI与地表反射率重构. 《IEEE应用地球观测与遥感选刊》, 10, 5551-5568
如有任何疑问，请联系肖志强教授（[e-mail]）。

搜集汇总

背景与挑战

背景概述

该数据集提供了北京地区自1984年以来的植被近红外反射率（NIRV）数据，具有30米空间分辨率和16天时间分辨率。数据采用地理网格投影，格式为HDF，覆盖了1984年至2022年，并且是空间完整和时间连续的。