A 30m spatial resolution primary productivity dataset for Northeast China in 2022

Although many GPP datasets are available, they often have low resolution, typically around 500 meters or lower, which restricts their effectiveness in monitoring fragmented croplands and areas with high heterogeneity. In this study, we utilized optical satellite data from Landsat-8/9 and Sentinel-2A/B, along with meteorological data from ERA5, to generate a GPP dataset with a spatial resolution of 30 meters for three provinces in Northeast China in 2022.

This dataset was developed based on the Vegetation Photosynthesis Model (VPM) and exhibited robust validation results when compared with SIF data and other existing GPP datasets. It provides a 30m resolution GPP product that significantly enhances the precision of carbon cycle research in Northeast China in 2022. This research underscores the feasibility of producing high spatial resolution GPP products using Landsat-8/9 and Sentinel-2A/B optical satellite data.