Remote sensing inversion data of aboveground biomass of wetland vegetation with a resolution of 30 meters in Northeast China (2000-2021)

a. Data content (data file/table name, including observation indicators) This data includes a 30m resolution remote sensing inversion dataset of wetland vegetation aboveground biomass in Northeast China from 2000 to 2021, reflecting the distribution of wetland vegetation aboveground biomass in Northeast China and providing data support for regional ecological environment protection and national spatial planning in the region. b. Construction purpose Wetlands, as important carbon reservoirs in surface systems, play a crucial role in the global carbon cycle. The aboveground biomass of wetland vegetation is considered an important indicator of the carbon sequestration capacity of wetland ecosystems. Swamp wetlands are the most important type of wetland, accounting for approximately 83.5% of the total natural wetland area worldwide. They play an important role in maintaining regional ecological balance, as well as providing ecosystem services such as climate regulation and strong carbon sequestration. In the context of global change, the study of carbon sequestration capacity of marsh wetland vegetation has become an important part of global carbon cycling research and has received widespread attention from the scientific community. Understanding the spatial pattern and temporal changes of aboveground biomass in wetland vegetation and its response to climate change relies on accurate spatial prediction, which is of great significance for land carbon sequestration research. c. Service target It can widely serve scientific researchers in related disciplines such as black soil protection and ecological monitoring. d. Time range of data 2000-2021 e. The spatial scope of data Northeast region f. Projection method of data Projected Coordinate System：Krasovsky_1940_Albers Geographic Coordinate System：GCS_Krasovsky_1940 g. The disciplinary scope of data Biology>Ecology>Regional Ecology h. Quantity of data The total data volume is about 2.73GB