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]).