期刊
REMOTE SENSING
卷 14, 期 8, 页码 -出版社
MDPI
DOI: 10.3390/rs14081839
关键词
coastal salt marsh; biomass estimation model; tidal creeks; LiDAR data; random forest
类别
资金
- Natural Science Foundation of China [U2106209]
- Scientific Research Program of Shanghai Science and Technology Commission [21ZR1405600, 20dz1204702]
This study mapped the spatial distributions of salt marsh communities and their aboveground biomass (AGB) using image and LiDAR data acquired by a UAV. The results showed that the AGB estimation model based on UAV-LiDAR data and a random forest algorithm had high accuracy.
The spatial distribution patterns of salt marsh plant communities and their biomass provide useful information for monitoring the stability and productivity of coastal salt marsh ecosystems in space and time. However, the spatial patterns of plant vegetation and its aboveground biomass (AGB) in a coastal salt marsh remain unclear. This study mapped the spatial distributions of salt marsh communities and their AGB based on image and LiDAR data acquired by an unmanned aerial vehicle (UAV) in the Yangtze River Estuary. The differences in vegetation structure and AGB at regions located at different distances from tidal creeks were also tested. The results show that biomass estimated through a random forest model is in good agreement (R-2 = 0.90, RMSE = 0.1 kg m(-2)) with field-measured biomass. The results indicate that an AGB estimation model based on UAV-LiDAR data and a random forest algorithm with high accuracy was useful for efficiently estimating the AGB of salt marsh vegetation. Moreover, for Phragmites australis, both its proportion and AGB increased, while the proportion and AGB of Scirpus mariqueter, Carex scabrifolia, and Imperata cylindrica decreased with increasing distance from tidal creeks. Our study demonstrates that tidal creeks are important for shaping spatial patterns of coastal salt marsh communities by altering soil salinity and soil moisture, so reasonable and scientific measures should be taken to manage and protect coastal ecosystems.
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