Forest Aboveground Biomass for Maine, 2023
收藏Global Change Master Directory (GCMD)2025-06-10 更新2026-04-25 收录
下载链接:
https://cmr.earthdata.nasa.gov/search/concepts/C3566308239-ORNL_CLOUD.html
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资源简介:
This dataset holds estimates of forest aboveground biomass (AGB) for Maine, USA, in 2023. AGB was estimated using airborne LiDAR data from the USGS 3DEP project and a deep learning convolutional neural network (CNN) model. The airborne LiDAR datasets used in this mapping were collected in different years. The CNN model was calibrated using plot-level forest inventory data with precise location measurements and spectral indices derived from multiple remote sensing products. Stand-level biomass succession models, developed from the USDA Forest Service Forest Inventory and Analysis (FIA) data, were applied to project biomass estimates to the year 2023 with 10-m spatial resolution. The data are provided in GeoTIFF format.
提供机构:
ORNL_CLOUD
创建时间:
2025-06-10



