公开(公告)号：US20230213337A1

公开(公告)日：2023-07-06

申请号：US18093828

申请日：2023-01-06

Applicant: Wuhan University

Inventor： Zhaocong WU ,  Fanglin SHI

IPC: G01C11/04 ,  G06F18/214

CPC classification number: G01C11/04 ,  G06F18/214

Abstract: 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.