Sensor-Independent LAI/FPAR CDR

<p>The Sensor-Independent leaf area index (LAI)/ fraction of photosynthetically active radiation (FPAR) climate data&nbsp;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.&nbsp;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.</p> <p>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,&nbsp;the Sensor-Independent LAI/FPAR CDR provides a valuable resource for researchers studying vegetation dynamics and their relationship to climate change.</p> <p>Here,&nbsp;we provide 4 versions that a spatial resolution is 5km or 0.05 degree,&nbsp;and a temporal resolution is&nbsp;8 days or half a month. The other 2 versions that the spatial resolution is 500m can be assessed by Google Earth Engine.</p> <p>More details about&nbsp;Sensor-Independent LAI/FPAR CDR can be found at&nbsp;<a href="https://github.com/JiabinPu/Sensor-Independent-LAI-FPAR-CDR">https://github.com/JiabinPu/Sensor-Independent-LAI-FPAR-CDR</a></p>