MUSES Normalized Difference Vegetation Index (NDVI) 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 NDVI product at 30 m spatial resolution and 16-day temporal resolution over Beijing. The MUSES NDVI product is provided on Geographic grid and spans from 1984 to 2021 (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 NDVI 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 – 2021 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 (zhqxiao@bnu.edu.cn)