Monitoring of Monthly Height Growth of Individual Trees in a Subtropical Mixed Plantation Using UAV Data
In: Remote Sensing; Volume 15; Issue 2; Pages: 326, 2023
academicJournal
Zugriff:
The assessment of changes in the height growth of trees can serve as an accurate basis for the simulation of various ecological processes. However, most studies conducted on changes in the height growth of trees are on an annual scale. This makes it difficult to obtain basic data for correcting time differences in the height growth estimates of trees within a year. In this study, the digital elevation models (DEMs) were produced based on stereo images and light detection and ranging (LiDAR) data obtained by unmanned aerial vehicles (UAVs). Individual tree crowns were segmented by employing the watershed segmentation algorithm and the maximum value within each crown was extracted as the height of each tree. Subsequently, the height growth of each tree on a monthly-scale time series was extracted to simulate the time difference correction of regional tree height estimates within a year. This was used to verify the feasibility of the time difference correction method on a monthly scale. It is evident from the results that the DEM based on UAV stereo images was closely related to the DEM based on UAV LiDAR, with correlation coefficients of R2 = 0.96 and RMSE = 0.28 m. There was a close correlation between the tree height extracted from canopy height models (CHMs) based on UAV images and the measured tree height, with correlation coefficients of R2 = 0.99, and RMSE = 0.36 m. Regardless of the tree species, the total height growth in each month throughout the year was 46.53 cm. The most significant changes in the height growth of trees occurred in May (14.26 cm) and June (14.67 cm). In the case of the Liriodendron chinense tree species, the annual height growth was the highest (58.64 cm) while that of the Osmanthus fragrans tree species was the lowest (34.00 cm). By analyzing the height growth estimates of trees each month, it was concluded that there were significant differences among various tree species. In the case of the Liriodendron chinense tree species, the growth season occurred primarily from April to July. .
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Monitoring of Monthly Height Growth of Individual Trees in a Subtropical Mixed Plantation Using UAV Data
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Autor/in / Beteiligte Person: | Tang, Xu ; You, Haotian ; Liu, Yao ; You, Qixu ; Chen, Jianjun |
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Zeitschrift: | Remote Sensing; Volume 15; Issue 2; Pages: 326, 2023 |
Veröffentlichung: | Multidisciplinary Digital Publishing Institute, 2023 |
Medientyp: | academicJournal |
DOI: | 10.3390/rs15020326 |
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