A long-term Leaf Area Index (LAI) product derived from NASA MODIS satellite data with a 1-kilometer spatial resolution. The dataset was produced by the National Remote Sensing Center of China (NRSCC), Beijing Normal University, and Wuhan University. The data was last updated in December 2015.
Use Cases
- Modeling vegetation phenology and carbon sequestration using time-series LAI values.
- Validating regional or global ecosystem models with 1KM resolution LAI data.
- Analyzing long-term trends in vegetation health and coverage from the derived LAI product.
- Assimilating satellite-derived LAI into land surface models for climate studies.
Strengths
- Global spatial coverage for land surface analysis.
- Long-term temporal record derived from NASA MODIS data.
- Standardized 1-kilometer resolution for consistent global mapping.
Limitations
- Data recency is limited, with the last update recorded in 2015.
- Specific row count, column details, and sample size are unknown.
- Potential for gaps or artifacts inherent in satellite data processing.
Provenance
- Source
- National Remote Sensing Center of China (NRSCC), Beijing Normal University, Wuhan University.
- Collection Method
- Derived from NASA MODIS satellite data.
- Time Range
- Long-term, specific start date unknown.
- Freshness
- Last updated on 2015-12-31.
- Geography
- Global land surface coverage.