Spatial distribution of Forest Aboveground Biomass in Northeast China (2020)- A Big Earth Data Platform for Three Poles

Forest carbon density is an important parameter for quantifying regional carbon storage and its change. However, the existing research has the problem of coarse resolution and large uncertainty. Therefore, based on the ground survey data, combined with spaceborne laser radar (GEDI) and Landsat images, the study used depth learning to automatically mine multi-dimensional image features, and mapped the forest aboveground carbon density in Northeast China with a 30 meter spatial resolution. The results are in good agreement with the field measured data (R2=0.84 RMSE=6.28). The results provided by the study will provide benchmark data for regional carbon dynamic monitoring.

Carbon density data unit MgC ha-1

File naming and required software

The 30m spatial distribution data of Forest Aboveground Biomass in Northeast China is stored in GeoTIFF image format, and the file name is NW_ forest_ AGB_ 2020.tif.

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Cite as:

Wang, X., Wang, T., Lv, G. (2022). Spatial distribution of Forest Aboveground Biomass in Northeast China (2020). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Terre.tpdc.272815. CSTR: 18406.11.Terre.tpdc.272815. (Download the reference： RIS | Bibtex )

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License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)