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    METHOD AND SYSTEM FOR PRODUCING A DIGITAL TERRAIN MODEL
    3.
    发明公开
    METHOD AND SYSTEM FOR PRODUCING A DIGITAL TERRAIN MODEL 审中-公开

    公开(公告)号：US20240062461A1

    公开(公告)日：2024-02-22

    申请号：US18270577

    申请日：2021-12-30

    申请人： First Resource Management Group Inc.

    发明人： Benoit St-Onge ,  Philip E.J. Green

    IPC分类号： G06T17/05 ,  G06V20/17 ,  G06V20/13 ,  G01C11/04

    CPC分类号： G06T17/05 ,  G06V20/17 ,  G06V20/13 ,  G01C11/04 ,  G06V20/188

    摘要： A method and system for calculating a digital terrain model (DIM) for a target portion of the surface of the Earth. A digital elevation model (DEM) for the target portion specifies an elevation for target points on the Earth within the portion. A digital surface model (DSM) specifies the elevation above the target point of an obstructing surface. Elevation errors in the DEM are corrected. A curvature correction is done using the DSM. A model is calibrated using reference points using statistical techniques or machine learning. A model using reference points for predicting the amount of local elevation correction needed at each target point as a function of terrain curvature is employed. The models are applied at each target point of the DEM to produce the DTM.

    LARGE-SCALE FOREST HEIGHT REMOTE SENSING RETRIEVAL METHOD CONSIDERING ECOLOGICAL ZONING
    7.
    发明公开
    LARGE-SCALE FOREST HEIGHT REMOTE SENSING RETRIEVAL METHOD CONSIDERING ECOLOGICAL ZONING 审中-公开

    公开(公告)号：US20230213337A1

    公开(公告)日：2023-07-06

    申请号：US18093828

    申请日：2023-01-06

    申请人： Wuhan University

    发明人： Zhaocong WU ,  Fanglin SHI

    IPC分类号： G01C11/04 ,  G06F18/214

    CPC分类号： G01C11/04 ,  G06F18/214

    摘要： A large-scale forest height remote sensing retrieval method includes: acquiring Ice, Cloud and land Elevation Satellite (ICESAT-2) tree height data, Landsat data, Shuttle Radar Topography Mission (SRTM) data, Worldclim data, forest type data and ecological zoning data within a target zone, and preprocessing the data; carrying out georeferencing on the processed data to generate a first data set; calculating spectral features, terrain features and climatic factor features of an image, and combining the calculated features with the ecological zoning data and the forest type data to obtain a second data set; extracting eigenvalues of a same geographical location from the second data set, and combining the extracted eigenvalues with the tree height data to generate training data; constructing a random forest model covering a large zone as an ecological zoning tree height retrieval model, and dividing the obtained training data into a training sample and a verification sample.