Sensor-Independent LAI/FPAR CDR

The Sensor-Independent leaf area index (LAI)/ fraction of photosynthetically active radiation (FPAR) climate data record (CDR) is derived from high quality LAI/FPAR from MOD15AH C6, MYD15A2H C6, and VNP15A2H C1 products. The low-quality LAI/FPARs were first removed using quality control flags. The high-quality LAI/FPARs were merged into Filtered Sensor-Independent LAI/FPAR data sets. The missing values are then gap filled by spatial-temporal tensor (ST-Tensor) completion model. The Sensor-Independent LAI/FPAR CDR covers the period from 2000 to 2022 year, with spatial resolutions of 500m/5km/0.05 degrees for global vegetation area and temporal resolutions of 8 days or half a month.

The ground-based validations show that the newly generated Sensor-Independent LAI/FPAR CDR achieves higher accuracy compared to original Terra-MODIS/Aqua-MODIS/VIIRS LAI/FPAR products. Thus, the Sensor-Independent LAI/FPAR CDR provides a valuable resource for researchers studying vegetation dynamics and their relationship to climate change.

Here, we provide 4 versions that a spatial resolution is 5km or 0.05 degree, and a temporal resolution is 8 days or half a month. The other 2 versions that the spatial resolution is 500m can be assessed by Google Earth Engine.

More details about Sensor-Independent LAI/FPAR CDR can be found at https://github.com/JiabinPu/Sensor-Independent-LAI-FPAR-CDR