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- W2548493695 abstract "Airborne lidar has emerged as the most powerful remote sensing technology for mapping vegetation structure, but its application has been limited to landscape level due to the sheer data volume and daunting demand for computation. This study is to break this stereotype and conduct a statewide mapping study of aboveground biomass (AGB) by integrating airborne lidar data and FIA (Forest Inventory and Analysis) plot data for the whole state of Minnesota. We will discuss the challenges and present our solutions for processing big airborne lidar data for point cloud classification, vegetation information extraction, statistical modeling, and uncertainty analysis of forest AGB." @default.
- W2548493695 created "2016-11-11" @default.
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- W2548493695 date "2016-07-01" @default.
- W2548493695 modified "2023-10-02" @default.
- W2548493695 title "Statewide mapping and estimation of vegetation aboveground biomass using airborne lidar" @default.
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- W2548493695 doi "https://doi.org/10.1109/igarss.2016.7730157" @default.
- W2548493695 hasPublicationYear "2016" @default.
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