STFLNDVI: A Global 1km NDVI Time Series from 1982

A global long-term Normalized Difference Vegetation Index dataset provides monthly observations at a 1km spatial resolution from 1982 onward. It was created by fusing MODIS and AVHRR satellite products to ensure consistent data characteristics and is provided by Xiaobin Guan of Wuhan University. The dataset is distributed as TIFF images organized by the MODIS sinusoidal grid and tile numbering system.

Use Cases

• Monitoring long-term vegetation health and phenology based on the monthly NDVI time series.
• Analyzing global land cover change since 1982 based on the fused 1km resolution data.
• Calibrating or validating ecological models based on the dataset's validated spatial and temporal consistency.
• Studying climate change impacts on vegetation using the multi-decade, globally consistent record.

Strengths

• Provides a continuous time series from 1982, bridging MODIS and AVHRR satellite eras.
• Offers a 1km spatial resolution, which is relatively high for a long-term global NDVI product.
• Uses a standardized MODIS sinusoidal grid and projection, ensuring compatibility with other remote sensing data.
• Spatial distribution and temporal variation have been validated through simulated and real-data experiments.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.
• The description does not specify the exact temporal coverage beyond 'since 1982' or the update frequency.

Provenance

Source

Xiaobin Guan, Wuhan University

Collection Method

Generated by fusing MODIS and AVHRR satellite products.

Time Range

From 1982 onward

Geography

Global